Research Work

Peer-reviewed Publications

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Journal Publications

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Ramesh S. V. Teegavarapu, Rahul Kumar, Priyank Sharma, Tibebe Dessalegne, Operational Condition Indices for Coastal Hydraulic Structures with Discharge Capabilities.  Journal of Hydrologic Engineering, 30(1), 2024. https://doi.org/10.1061/JHYEFF.HEENG-6302

Ramesh S. V. Teegavarapu, Chandra Pathak, David Curtis, Sanjaya Kumar Yadav, Anant Patel, Ayushi Panchal. Role of Ensemble-based Forecasting Methods in Reservoir Operations: Issues and Implementation Challenges. Journal of Hydrologic Engineering, 2025. In Print.

Anant Patel, Sanjay M. Yadav, Ramesh S.V. Teegavarapu. Enhancing Real-time Flood Forecasting and Warning System by Integrating Ensemble Technique and Hydrologic Model Simulations. Journal of Water and Climate Change, 24(2): 397-415. https://doi.org/10.2166/wcc.2024.052

Sandipan Paul, Priyank J. Sharma, Ramesh S.V. Teegavarapu. Spatial Assessment of The Reproducibility of Indian Summer Monsoon Rainfall Regimes in Multiple Gridded Rainfall Products. Scientific Reports, 14, 29269, 2024. [Impact Factor: 3.8]. https://doi.org/10.1038/s41598-024-75320-5

Sandipan Paul, Priyank J. Sharma, Ramesh S.V. Teegavarapu. Rain Event Detection and Magnitude Estimation during Indian Summer Monsoon: Comprehensive Assessment of Gridded Precipitation Datasets Across Hydroclimatically Diverse Regions. Atmospheric Research, 313, [Impact Factor: 4.5]. https://doi.org/10.1016/j.atmosres.2024.107761

Sandipan Paul, Priyank J. Sharma, Ramesh S.V. Teegavarapu. Indian Summer Monsoon Rainfall Characteristics Derived from Multiple Gridded Datasets: A Comparative Assessment. International Journal of Climatology, 45(2), e8708, 2024. [Impact Factor: 3.61]. https://doi.org/10.1002/joc.8708

Achala Singh, Priyank, J. Sharma, Ramesh S. V. Teegavarapu. Understanding Non-Stationarity Patterns in Basin-Scale Hydroclimatic Extremes, International Journal of Climatology, 44(11), 3867-3887. 2024. [Impact Factor: 3.61]. https://doi.org/10.1002/joc.8557

Hao Chen, Yuxue Guo, Saihua Huang, Yue-Ping Xu, Ramesh S. V. Teegavarapu, Assessing the implications of climate variability for global baseflow and streamflow components. Nature Water. Under review. 2024.

Hao Chen, Bingjiao Xu, He Qiu, Saihua Huang, Ramesh S. V.Teegavarapu, Yue-Ping Xu, Yuxue Guo, Hui Nie, Huawei Xie. Adaptive Assessment of Reservoir Scheduling To Hydrometeorological Comprehensive Dry And Wet Evolution In A Multi-Reservoir Region of Southeastern China. Journal of Hydrology. 648, 2024. [Impact Factor: 5.9]. https://doi.org/10.1016/j.jhydrol.2024.132392

Hao Chen, Saihua Huang, Yue-Ping Xu, Ramesh S. V. Teegavarapu, Yuxue Guo, Hui Nie, Huaxwei Xie, Using Baseflow Ensembles for Hydrologic Hysteresis Characterization in Humid Basins in Southeastern China. Water Resources Research, 2024. [Impact Factor: 5.4]. https://doi.org/10.1029/2023WR036195

Mahdi Zarei; Reza Ghazavi; Khodayar Abdollahi; Roberto Ranzi; Ramesh S.V. Teegavarapu; Stefano Barontini. Spatiotemporal Variation of Water Balance Components In Mashhad Catchment, Iran: Investigating The Impact Of Changes In Climatic Data And Land Use. Water Supply.24(2):397–415, 2024, https://doi.org/10.2166/ws.2024.018

Tucker Hindle, Frederick Bloetscher, Anthony Abbate, Jeffery Huber, Weibo Liu, Daniel E. Meeroff, Diana Mitsova, S. Nagarajan, Colin Polsky, Hongbo Su, Ramesh S. V. Teegavarapu, Zhixiao Xie, Yan Yong, and Caiyun Zhang.Scalability of CASCADE 2001: GIS-Based Flood Risk Screening Tool to Support Watershed Master Planning. Applied Research Periodicals, 2024,  2(8), 26-41. https://doi.org/10.63002/asrp.28.562

Stephanya S. Lotero, Frederick  Bloetscher, other authors, Ramesh S. V. Teegavarapu, Incorporating Flood Inundation to Flood Risk Modeling. European Journal of Applied Sciences,   12 No. 4 (2024). 241–259. https://doi.org/10.14738/aivp.124.17312

Hao Chen, Saihua Huang, Yue-Ping Xu, Ramesh S. V. Teegavarapu, Yuxue Guo, Hui Nie, Huawei Xie, Luqi Zhang. River Ecological Flow Early Warning Forecasting Using Baseflow Separation and Machine Learning in The Jiaojiang River Basin, Southeast China. Science of Total Environment, 882,163571,2023. [Impact Factor: 8.2].  https://doi.org/10.1016/j.scitotenv.2023.163571

Ramesh S. V. Teegavarapu and Priyank J. Sharma, Prem Lal Patel, Frequency-based Performance Measure for Hydrologic Model Evaluation, Journal of Hydrology, 608, 2022.  [Impact Factor: 5.9]. https://doi.org/10.1016/j.jhydrol.2022.127583

Ramesh S. V. Teegavarapu and Priyank J. Sharma, Non-Overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity, Journal of Hydrologic Engineering, ASCE, 2021.Selected for Editor’s Choice recognition (https://ascelibrary.org/topic/badge/ed-choice). https://doi.org/10.1061/(ASCE)HE.1943-5584.0002098

Ramesh S. V. Teegavarapu and Priyank J. Sharma, Response to the discussion on Non-Overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity, Journal of Hydrologic Engineering, ASCE, 26(7) 2022. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002098

Monica Rajkumar, Sudhagar Nagarajan, Ramesh S. V. Teegavarapu, Peter DeWitt, Shoreline and Coastline Extraction using Multi-Spectral UAS Imagery, Surveying and Land Information Science Journal, AAGS, 81(2), 127-143 (17), 2022. https://www.ingentaconnect.com/contentone/aags/salis/2022/00000081/00000002/art00005

Hao Chen, Saihua Huang, Yue-Ping Xu, Ramesh S. V. Teegavarapu,
Yuxue Guo, Jingkai Xie, Nie Hui. Quantitative Assessment of Impact of Climate Change And Human Activities on Streamflow Changes Using An Improved Three-Parameter Monthly
Water Balance Model, Remote Sensing, 14(17), 4411, 2022. [Impact Factor: 4.20]. https://doi.org/10.3390/rs14174411

Ramesh S. V. Teegavarapu and Priyank J. Sharma, Influences of Climate Variability on Regional Precipitation and Temperature Associations, Hydrological Sciences Journal, 66(16), 2395–2414, 2021. [Impact Factor: 2.8]. https://doi.org/10.1080/02626667.2021.1994976

Hao Chen, Yue-Ping Xu, Ramesh S. V. Teegavarapu, Yuxue Guo, Jingkai Xie. Assessing Different Roles of Baseflow and Surface Runoff for Long-Term Streamflow Forecasting In Southeastern China, Hydrological Sciences Journal, 66(16), 2312–2329, 2021. [Impact Factor: 2.8]. https://doi.org/10.1080/02626667.2021.1988612

Priyank J. Sharma and S. V. Teegavarapu, Influences of Local Hydroclimatology and Teleconnections on Florida’s Precipitation and Temperature Variability, In print. Hydrological Processes, 35(9), 2021. https://doi.org/10.1002/hyp.14347

Hao Chen, Ramesh S. V. Teegavarapu, Yue-Ping Xu, Oceanic-Atmospheric Variability Influences on Baseflows in the Continental United States, Water Resources Management, 3005–3022, [Impact Factor: 3.9]. https://doi.org/10.1007/s11269-021-02884-6

Caiyun Zhang, Hongbo Su, Tiantian Li, Gerardo Rojas, Tucker Hindle, Weibo Liu, Diana Mitsova, Sudhagar Nagarajan, Zhixiao Xie, Ramesh S. V. Teegavarapu, Daniel Meeroff , Fred Bloetscher, Yan Yong, Modeling and Mapping High Groundwater Table for a Coastal Region in Florida using Lidar DEM Data. Groundwater. 59(2), 190-198, 2021, (Top cited article in 2021 and 2022) https://doi.org/10.1111/gwat.13041

Frederick Bloetscher, Anthony Abbate, Jeffery Huber, Wiebo Liu, Daniel E. Meeroff, Diana Mitsova, S. Nagarajan, Colin Polsky, Hongbo Su, Ramesh S. V. Teegavarapu, Zhixiao Xie, Yan Yong, Caiyun Zhang, Richard Jones, Glen Oglesby, Eva Suarez, Jared Weaver, Mushfiqul Hoque, and Tucker Hindle. Establishing a framework of a watershed-wide screening tool to support the development of watershed-based flood protection plans for low-lying coastal communities, Journal of Infrastructure, Policy, and Development, 1273, 5(1), 2021. https://doi.org/10.24294/jipd.v5i1.1273

Frederick Bloetscher, Gerardo Rojas, Anthony Abbate, Tucker Hindle, Jeffery Huber, Richard Jones, Weibo Liu, Daniel Eduardo Meeroff, Diana Mitsova, Sudhagar Nagarajan, Glen Oglesby, Colin Polsky, Hongbo Su, Eva Suarez, Ramesh S. V. Teegavarapu, Jared Weaver, Zhixiao Xie, Yan Yong, Caiyun Zhang. A Framework for a Subwatershed-Scale Screening Tool to Support Development of Resiliency Solutions and Flood Protection Priority Areas in a Low-Lying Coastal Community. Journal of Geoscience and Environment Protection, 9(10), 2021. https://www.scirp.org/journal/paperinformation?paperid=112831

Ramesh S. V. Teegavarapu, Precipitation Imputation using Probability Space-based Weighting Methods. Journal of Hydrology, 2020. https://doi.org/10.1016/j.jhydrol.2019.124447 [Impact Factor: 5.9].

Aneesh Goly, Ramesh S. V. Teegavarapu, Optimization, and Variants of Quantile Mapping -based Methods for Bias Corrections of Downscaled Precipitation Data. Journal of Hydrologic Engineering, ASCE, 25(7), 2020. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001926

Subash Yeggina, S. V. Teegavarapu, Sekhar M., and Satya Prakash. Evaluation and Bias Corrections of Gridded Precipitation Data for Hydrologic Modeling Support in Kabini River Basin, India, Journal of Theoretical and Applied Climatology,140,1495–1513, 2020. https://doi.org/10.1007/s00704-020-03175-7

Hao Chen, S. V. Teegavarapu, Spatial and Temporal Variability in Baseflow Characteristics across the Continental United States, Journal of Theoretical and Applied Climatology, 143, 1615–1629, 2020. https://doi.org/10.1007/s00704-020-03481-0

Marco Arrieta-Castro, Adriana Donado-Rodríguez, Fausto Canales, Guillermo J. Acuña, Ramesh S. V. Teegavarapu, Analysis of Streamflow Variability and Trends in the Meta River, Colombia, Water, 12(5), 1451, 2020. [Impact Factor: 3.530]. https://doi.org/10.3390/w12051451

Evengalos I. Kaisar, Ramesh S. V. Teegavarapu, Elizabeth Gunderson, Data Envelopment Analysis Model for Assessment of Safety and Security of Intermodal Transportation Facilities, Journal of Traffic and Transportation Engineering, 2019. 7, 191-205. DOI:10.17265/2328-2142/2019.05.001

Subash Yeggina, Ramesh S. V. Teegavarapu, Sekhar Muddu, A Conceptually Superior Variant of Shepard’s Method with Modified Neighborhood Selection for Precipitation Interpolation, International Journal of Climatology, 39(12), 4627-4647, 2019. [Impact Factor: 3.61]. https://doi.org/10.1002/joc.6091

Hao Chen, S. V. Teegavarapu, Comparative Analysis of Four Baseflow Separation Methods in the South Atlantic-Gulf Region of the U.S., Water, 12(1), 120, 2019. [Impact Factor: 3.53]. https://doi.org/10.3390/w12010120

Ramesh S. V. Teegavarapu, Exploring Geometric Patterns in Streamflow Time Series: Utility for Forecasting? Hydrology Research, 49(6),1724-1739, 201 https://doi.org/10.2166/nh.2018.127

Ramesh S. V. Teegavarapu, Singaiah Chintalapudi, Ricardo Brown, Chandra Pathak, Optimal Spatial Interpolation and Data-Driven Methods for Filling Missing Rain Gauge Records using Radar-based Precipitation Estimates, Journal of Environmental Informatics, 2019. Tentatively accepted.

Fahad K. Khadim, Ramesh S. V. Teegavarapu, Optimal Interventions for Flood Control, Drainage, and Irrigation Project Improvements, Hydrological Sciences Journal, 65(3), 427–441, [Impact Factor: 2.8]. https://doi.org/10.1080/02626667.2019.1701191.

Sina Borzooei, G. Miranda, Ramesh S. V. Teegavarapu, G. Scibilia, L. Meucci, C. Zanetti, Assessment of Weather-based Influent Scenarios for a Water Resource Recovery Facility: Application of Pattern Recognition Technique, Journal of Environmental Management. 2019. 242, 450-456. [Impact Factor: 8.0]. https://doi.org/10.1016/j.jenvman.2019.04.083

Sina Borzooei, Ramesh S. V. Teegavarapu, Soroush Abolfathi, Eugenio Lorenzi, Maria Chiara Zanetti, Data Mining Application in Assessment of Weather-based Influent Scenarios for a WWTP: Getting the Most out of plant Historical Data. Water, Air and Soil Pollution, 230, 5, https://doi.org/10.1007/s11270-018-4053-1

Ramesh S. V. Teegavarapu, Aneesh Goly. Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation, Water Resources Management, 32(6), 1969-1992, 2018. [Impact Factor: 3.9]. https://doi.org/10.1007/s11269-017-1887-z

Ramesh S. V. Teegavarapu and Singaiah Chintalapudi, Incorporating Influences of Shallow Groundwater Conditions in Curve Number-based Runoff Estimation Methods, Water Resources Management, 32, 4313–4327, [Impact Factor: 3.9]. https://doi.org/10.1007/s11269-018-2053-y

Ramesh S. V. Teegavarapu, Ala Aly, Chandra S. Pathak, Jon Ahlquist, Henry Fuelberg, J Hood, Infilling Missing Precipitation Records using Variants of Spatial Interpolation and Data-Driven Methods: Use of Optimal Weighting Parameters and Nearest Neighbor-based Corrections, 2017.  International Journal of Climatology. 38(2), 776-793. [Impact Factor: 3.61]. https://doi.org/10.1002/joc.5209

Carlos Galvão, Young-Oh Kim, Elpida Kolokytha, Arpita Mondal, Pradeep P. Mujumdar, Daisuke Nohara, Satoru Oishi, Roberto Ranzi, Ramesh S V. Teegavarapu, The Contribution of IAHR’s (International Association for Hydro-Environment Engineering and Research) Communities of Water Management and Climate Change Towards the Sustainable Development Goals, Special Issue of Hydrolink, 3, 77-79, 2017.  Equal contribution from all authors. Authors’ names arranged in alphabetical order. https://hdl.handle.net/20.500.11970/109373

Ramesh S. V. Teegavarapu and Anurag Nayak. Evaluation of Long-term Trends in Extreme Precipitation: Implications of Infilled Historical Data and Temporal-Window based Analysis, Journal of Hydrology, 2017. 550, 614-634. [Impact Factor: 5.9] https://doi.org/10.1016/j.jhydrol.2017.05.030

Tigstu, Dullo, A. Kalyanapu and Ramesh S. V. Teegavarapu, Evaluation of Changing Characteristics of Temporal Rainfall Distribution within 24-hour Duration Storms and their Influences on Peak Discharges: A Case Study of Asheville, North Carolina, ASCE Journal of Hydrologic Engineering, 22(11), 2017. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001575

Chandra S. Pathak, S. V. Teegavarapu, D. Curtis and C. Collier, Special Issue on Radar Rainfall and Operation Hydrology, Journal of Hydrologic Engineering, ASCE., 22(5), 2017 [Impact Factor: 2.2] https://doi.org/10.1061/(ASCE)HE.1943-5584.0001533

Ranzi R., G. Nalder, A.A. Abdalla, J. Ball, G.S. De Costa, C. Galvão, Y.Jia,Y.O. Kim, E. Kolokytha, S.I. Lee, E. Nakakita, V.T.V. Nguyen, A. Paquier, P.L. Patel, M.A. Peviani, Ramesh Teegavarapu, Summary of Recommendations for Policymakers on Adaption to Climate Change In Water Engineering. Hydrolink, ISSN: 1388-3445, International Association for Hydro-Environment Engineering and Research (IAHR), 3, 93-95, 2015. Equal contribution from all authors. Authors’ names are arranged in alphabetical order.

Ramesh S. V. Teegavarapu, Aneesh Goly and Qinglong Wu, Comprehensive Framework for Assessment of Radar-based Precipitation Data Estimates, Journal of Hydrologic Engineering, ASCE, 22(5), 2015, E4015002. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001277

Chandra S. Pathak, Ramesh S. V. Teegavarapu, Chris Olson, Abhishek Singh, Wasantha Lal, Ceyda Polatel, Vahid Zahraeifard, and Sharika Senarath, Uncertainty Issues and Proposed Resolutions on Use of Uncertainty Analyses in Hydrologic/Hydraulic Modeling, Journal of Hydrologic Engineering, ASCE, 2015, 20(10), 02515003. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001231

Ramesh S. V. Teegavarapu, Chandra S. Pathak, John R. Mecikalski, and Jayanthi Srikishen, Optimal Solar Radiation Sensor Network Design using Spatial and Geostatistical Analyses, Journal of Spatial Science. 61(1), 69–97, https://doi.org/10.1080/14498596.2015.1051147

Pradeep Behera and Ramesh S. V. Teegavarapu, Optimization of a Regional Stormwater Quality Management Pond System, Water Resources Management. 29, 1083–1095, 2015. [Impact Factor: 3.9] https://doi.org/10.1007/s11269-014-0862-1

Ramesh S. V. Teegavarapu and S. P. Simonovic; Simulation of Multiple Hydropower Reservoir Operations Using System Dynamics Approach, Water Resources Management. Springer Publications. 2014. 28:1937–1958. [Impact Factor: 3.9] https://doi.org/10.1007/s11269-014-0586-2

Ramesh S. V. Teegavarapu, Statistical Corrections of Spatially Interpolated Precipitation Estimates, Hydrological Processes, 28(11), 3789–3808, https://doi.org/10.1002/hyp.9906

Aneesh Goly and Ramesh S. V. Teegavarapu, Individual and coupled Influences of AMO and ENSO on Regional Precipitation Characteristics and Extremes, Water Resources Research, 2014. 50. 50(6), 4686-4709, [Impact Factor: 4.6] https://doi.org/10.1002/2013WR014540

Aneesh Goly, Ramesh S. V. Teegavarapu, Arpitha Mondal, Evaluation of Statistical Downscaling Models for Monthly Precipitation in Florida, Earth Interactions, 2014. DOI: 10.1175/EI-D-14-0024.1

Ramesh S. V. Teegavarapu, Missing Precipitation Data Estimation Using Optimal Proximity Metric-based Imputation, Nearest Neighbor Classification and Cluster-based Interpolation Methods, Hydrological Sciences Journal, 59(11), 2009–2026, 2013. https://doi.org/10.1080/02626667.2013.862334

Ramesh S. V. Teegavarapu, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, Water Resources Research, 49(11), 7804-7814, 2013. [Impact Factor: 4.6] https://doi.org/10.1002/2013WR013490

Ramesh S. V. Teegavarapu, Aneesh Goly, and Jayantha Obeysekera, Influences of Atlantic Multi-Decadal Oscillation on Regional Precipitation Extremes, Journal of Hydrology, 495, 2013, 74–93.[Impact Factor: 5.9] https://doi.org/10.1016/j.jhydrol.2013.05.003

Ramesh S. V. Teegavarapu, Andre Ferreira, and S. P. Simonovic, Fuzzy Multi-Objective Models for Optimal Operation of a Hydropower System, Water Resources Research, 49(6), 3180-3193, 2013, [Impact Factor: 4.6] https://doi.org/10.1002/wrcr.20224

Ramesh S. V. Teegavarapu, Spatial Interpolation using Non-linear Mathematical Programming Models for Estimation of Missing Precipitation Records, Hydrological Sciences Journal, 57(3), 383-406, 2012. https://doi.org/10.1080/02626667.2012.665994

Andre Ferreira and Ramesh S. V. Teegavarapu, Partial Constraint Satisfaction Approaches for Optimal Operation of a Hydropower System, Engineering Optimization, 44(9), 1073-1093, 2012.[Impact Factor: 2.2] https://doi.org/10.1080/0305215X.2011.632007

Andre Ferreira and Ramesh S. V. Teegavarapu, Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints, Water Resources Management, 26:707–732, 2012. [Impact Factor: 3.9] https://doi.org/10.1007/s11269-011-9940-9

Ramesh S. V. Teegavarapu, Tadesse Meskele and Chandra Pathak, Geo-Spatial Grid-based Transformation of Multi-Sensor Precipitation using Spatial Interpolation Methods, Computers and Geosciences, 40, 28-39, 2012. [Impact Factor: 4.2] https://doi.org/10.1016/j.cageo.2011.07.004

Ramesh S. V. Teegavarapu, Modeling Climate Change Uncertainties in Water Resources Management Models, Environmental Modeling and Software, 25(10), 1261-1265, 2010. [Impact Factor: 5.22]. https://doi.org/10.1016/j.envsoft.2010.03.025

Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Records Integrating Surface Interpolation Techniques and Spatio-Temporal Association Rules, Journal of HydroInformatics, 11(2), 133–146, 2009. https://doi.org/10.2166/hydro.2009.009

Mohammad Tufail, Lindell Ormsbee, Ramesh S. V. Teegavarapu, Artificial Intelligence-Based Inductive Models for Prediction and Classification of Fecal Coliform in Surface Waters, Journal of Environmental Engineering, ASCE, 2008, 789-799. https://doi.org/10.1061/(ASCE)0733-9372(2008)134:9(789)

Ramesh S. V. Teegavarapu, Use of Universal Function Approximation in Variance-dependent Interpolation Technique: An Application in Hydrology, 332, 16-29, Journal of Hydrology, 2007. [Impact Factor: 5.9] https://doi.org/10.1016/j.jhydrol.2006.06.017

Ramesh S. V. Teegavarapu, Mohammad Tufail and Lindell Ormsbee, Optimal Functional Forms for Estimation of Missing Precipitation Records, Journal of Hydrology, 2009, 374 (2009) 106–115. [Impact Factor: 5.9] https://doi.org/10.1016/j.jhydrol.2009.06.014 In the GP Bibliography database:http://www.cs.bham.ac.uk/~wbl/biblio/gp-html/RameshSVTeegavarapu.html

Amin Elshorbagy, Ramesh S. V. Teegavarapu, and Lindell Ormsbee, Assessment of Pathogen Pollution in Watersheds using Object-Oriented Modeling and Probabilistic Analysis, Journal of Hydroinformatics, 7, 51-63, https://doi.org/10.2166/jh.2006.012

Ramesh S. V. Teegavarapu and V. Chandramouli, Improved Weighting Methods, Deterministic and Stochastic Data-driven Models for Estimation of Missing Precipitation Records, Journal of Hydrology, 191-206, 312, 2005. [Impact Factor: 6.71] https://doi.org/10.1016/j.jhydrol.2005.02.015

The original methods developed in this study are used in several studies worldwide. More than 500 citations of this work.

Ramesh S. V. Teegavarapu, Anil Tangirala and Lindell Ormsbee, Development of Water Quality Management Alternatives for a Nutrient Impaired Stream using System Dynamics Simulation, Journal of Environmental Informatics, 5(2), 73-81, 2005. [Impact Factor: 10.22] https://api.semanticscholar.org/CorpusID:110478964

Ramesh S. V. Teegavarapu and Amin Elshorbagy, Fuzzy Set-Based Error Measure for Hydrologic Model Evaluation, Journal of Hydroinformatics, 7, 199-208, 2005. [Impact Factor: 2.2] https://doi.org/10.2166/hydro.2005.0017

Amin Elshorbagy, Ramesh S.V. Teegavarapu and Lindell Ormsbee, Total Daily Maximum Load (TMDL) Approach to Water Quality Management: Concepts, Issues and Applications Canadian Journal of Civil Engineering (CJCE), 32(2), 442-448, 2005. https://doi.org/10.1139/l04-107

Amin Elshorbagy, Ramesh S.V. Teegavarapu and Lindell Ormsbee, Framework for Assessment of Relative Pollutant Loads with Limited Data, Journal of IWRA, Water International, 30(3), 350-355, 2005. https://doi.org/10.1080/02508060508691892

Ramesh S. V. Teegavarapu and S. P. Simonovic; Optimal Operation of Water Resource Systems Using Simulated Annealing, Water Resources Management, Journal, Vol 16, pp 401 – 428, 2003. [Impact Factor: 3.9] https://doi.org/10.1023/A:1021993222371

Ramesh S. V. Teegavarapu, Training Neural Networks to Perform Rainfall Disaggregation, Journal of Hydrologic Engineering, Vol 4, July/August, 342, ASCE, 2002. https://doi.org/10.1061/(ASCE)1084-0699(2002)7:4(342)

Ramesh S. V. Teegavarapu⁺ and S. P. Simonovic; Short-term Operation Model for Coupled Hydropower Reservoirs, Journal of Water Resources Planning and Management, ASCE, Vol. 126, No.2, pp 98 – 106, 2000. [Impact Factor: 3.0] https://doi.org/10.1061/(ASCE)0733-9496(2000)126:2(98)

Ramesh S. V. Teegavarapu and S. P. Simonovic; Modeling Uncertainty in Reservoir Loss Functions using Fuzzy Sets, Water Resources Research, Vol 35, No.9, pp 2815 – 2823, 1999. [Impact Factor: 4.6] https://doi.org/10.1029/1999wr900165

P. Mujumdar and Ramesh S. V. Teegavarapu; A Short-Term Reservoir Operation Model for Multi-crop Irrigation; Hydrological Sciences Journal, 43(3), pp 479 – 494, June 1998. https://doi.org/10.1080/02626669809492139

P. Mujumdar and Ramesh S. V. Teegavarapu; Real-time Reservoir Operation for Irrigation; Water Resources Research, Vol. 33, No.5, pp 1157 – 1164, May 1997. [Impact Factor: 4.6] https://doi.org/10.1029/96WR03907

Ramesh S. V. Teegavarapu and P. P. Mujumdar; Stochastic Models for Reservoir Planning and Operation, Hydrology Review, Vol. 8, No.1, pp 20 – 28, June 1993.

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Book Mini Chapters/Articles

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Sina Borzooei, Ramesh S. V. Teegavarapu, Soroush Abolfathi, Youri Amerlinck, Ingmar Nopens, Maria Ch. Zanetti, Impact Evaluation of Wet-Weather Events on Influent Flow and Loadings of a Water Resource Recovery Facility. UDM: International Conference on Urban Drainage Modeling, UDM 2018, in New Trends in Urban Drainage Modeling, Ed. Giorgio Mannina, (part of Green Energy and Technology book Series), Springer, 2018. 706-711.https://link.springer.com/chapter/10.1007/978-3-319-99867-1_122 https://doi.org/10.1007/978-3-319-99867-1_122

Ramesh S.V. Teegavarapu and Chandra Pathak, Development of Optimal Z-R Relationships, Weather Radar, and Hydrology, International Association of Hydrological Sciences (IAHS) Red Book, United Kingdom, 351, 75-80. 2012. ISBN 978-1-907161-26-1, 672.

Scarlatos P., Kaisar E., and S. V. Teegavarapu, Modeling, and Simulation of Catastrophic Events Affecting Critical Infrastructure Systems, Mathematical Methods, and Applied Computing, MMACTEE’09: Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering. Vol. 3, 2009, pp. 334-346.  ISBN:978-960-474-124-3

Ramesh S.V. Teegavarapu and S. P. Simonovic; Optimal Operation of Water Resource Systems: Trade-offs between Modeling and Practical Solutions, Integrated Water Resources Management, International Association of Hydrological Sciences (IAHS) Red Book, 272, 2002, 257 – 262, International Association of Hydrological Sciences, United Kingdom (UK). ISBN: 978-1-901502-71-8

Ramesh S. V. Teegavarapu et al.; A new Error Statistic for Performance Evaluation of Models in Hydrology, Volume 1, # 47, Developments in Water Science, Computational Methods in Water Resources, Editors: S. M. Hassanizadeh, R. J. Schotting., W. G. Gray and G. F. Pinder, pp 787 –794., 2002, 7 pages. Elsevier Science, Amsterdam. ISBN-13 :‎ 978-0444509758  https://doi.org/10.2136/vzj2004.0731

Amin Elshorbagy, RameshV. Teegavarapu and Lindell Ormsbee; System Dynamics Approach for Water Quality Management in South Eastern Kentucky, Volume 2,  # 47, Developments in Water Science, Computational Methods in Water Resources, Editors: S. M. Hassanizadeh, R. J. Schotting., W. G. Gray and G. F. Pinder,  pp 1557 –1564, 2002, 7 pages Elsevier Science, Amsterdam. ISBN-13 :‎ 978-0444509758  https://doi.org/10.2136/vzj2004.0731

Ramesh S. V. Teegavarapu; Input Structures for a Neural Network Model used for Streamflow Forecasting, Hydrology in Changing Environment, Vol (3), pp 104 – 115, 1998. International Association of Hydrological Sciences (IAHS) Publication. ISBN: 978-0-471-98686-7.

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Book Chapters [52] [38 chapters published, 14 under submission]

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Ramesh S. V. Teegavarapu, Data Cleaning and Hydroanlytics in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Outliers and Anomalies in Hydrometeorological Data in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Rule-based and Statistical Methods in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Machine Learning Methods in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Bias Assessment and Corrections in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Analyzing and Correcting Precipitation Data in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Analyzing Stage Data in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Analyzing Temperature and Snow Data in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu, Design of Quality Assessment Systems in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.

Ramesh S. V. Teegavarapu and Roberto Ranzi. Climate Change and Stationarity, Monograph/book: Water Engineering Design Guidance in a Changing Climate, International Association for Hydro-Environment Engineering and Research (IAHR) to be published in 2025.

Roberto Ranzi and Ramesh S. V. Teegavarapu. Hydroclimatic Variability, Monograph/book: Water Engineering Design Guidance in a Changing Climate, International Association for Hydro-Environment Engineering and Research (IAHR) to be published in 2025.

Ramesh S. V. Teegavarapu Stationary: Basics,  in Stationarity: A Gentle Introduction. World Scientific Publising (WSP), to be published in 2025. ISBN: 9789811255403.  https://doi.org/10.1142/12810

Ramesh S. V. Teegavarapu Statistical Hypothesis-based Parametric Assessments, in Stationarity: A Gentle Introduction. World Scientific Press (WSP), to be published in 2025. ISBN: 9789811255403. https://doi.org/10.1142/12810

Ramesh S. V. Teegavarapu Statistical Hypothesis-based Non-parametric Assessments, in Stationarity: A Gentle Introduction. World Scientific Press (WSP), to be published in 2025. ISBN: 9789811255403.  https://doi.org/10.1142/12810

Ramesh S. V. Teegavarapu Introduction to Missing data, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_1

Ramesh S. V. Teegavarapu Methods for Imputation of Missing Data, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_2

Ramesh S. V. Teegavarapu Temporal Interpolation Methods, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_3

Ramesh S. V. Teegavarapu Spatial Interpolation Methods, In Imputation Methods for Missing Hydrometeorological Data Estimation, 2024. ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_4

Ramesh S. V. Teegavarapu Universal Function Approximation and Data-driven Models for Imputation, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_5

Ramesh S. V. Teegavarapu Machine Learning and Multiple Imputation Methods, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer,   ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_6

Ramesh S. V. Teegavarapu Evaluation of Methods and Imputed Data, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer,   ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_7

Ramesh S. V. Teegavarapu Case Studies and Applications: Imputation of Missing Hydrometeorological Data, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, ISBN:978-3031609459. https://doi.org/10.1007/978-3-031-60946-6_8

Ramesh S. V. Teegavarapu, Evolving Adaptive Hydrologic Design and Water Resources Management in a Changing Climate. 2020. In Climate-Change Sensitive Water Resources Management, Taylor and Francis. ISBN: 978-0367674144. https://doi.org/10.1201/9780429289873

Ramesh S. V. Teegavarapu, Elpida Kolokytha, Carlos Galvao Water Resources Management in a Changing Climate: Major Issues. 2020. In Climate-Change Sensitive Water Resources Management, Taylor and Francis. ISBN: 978-0367674144. https://doi.org/10.1201/9780429289873

Elpida Kolokytha, Ramesh S. V. Teegavarapu, Carlos Galvao, Adaptive Water Management, and Climate Effects. 2020. In Climate-Change Sensitive Water Resources Management, Taylor and Francis. 2020. ISBN: 978-0367674144. https://doi.org/10.1201/9780429289873

Ramesh S. V. Teegavarapu, Simulation Models and Systems Thinking, Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. https://doi.org/10.1201/9780429345555

Ramesh S. V. Teegavarapu, Building Models using System Dynamics Principles, Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. https://doi.org/10.1201/9780429345555

Ramesh S. V. Teegavarapu, System Dynamics Models and Applications, Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. https://doi.org/10.1201/9780429345555

Ramesh S. V. Teegavarapu, Simulation with Animation. Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. https://doi.org/10.1201/9780429345555

Ramesh S. V. Teegavarapu, Mean Areal Precipitation Estimation: Issues and Methods, in the book Rainfall: Modeling, Measurement and Applications, Elsevier Publication. 2022. Edited by Renato Morbidelli. 48 pages. ISBN: https://doi.org/10.1016/C2019-0-04937-0

Ramesh S. V. Teegavarapu, Spatial and Temporal Estimation and Analysis of Precipitation, , Ed. V. P. Singh, McGraw Hill, 2016,  The book won the “2018 PROSE Award for Excellence” in Engineering & Technology Category.  https://proseawards.com/winners/2018-award-winners/  https://www.accessengineeringlibrary.com/content/book/9780071835091/toc-chapter/chapter39/section/section1  ISBN-13: 978-0071835091

Ramesh S. V. Teegavarapu, Evaluation and Improvement of Radar Rainfall Data, Radar Rainfall Data Estimation and Use (MOP 139), 53-58. 2019, https://doi.org/10.1061/9780784415115.ch04 ISBN: 978-0784415115.

Ramesh S. V. Teegavarapu, Rain-Gauge Rainfall Data Augmentaion and Radar Rainfall Data Analysis, Radar Rainfall Data Estimation and Use, (MOP 139), 95-110. 2019. https://doi.org/10.1061/9780784415115.ch08 ISBN: 978-0784415115

Ramesh S. V. Teegavarapu, Framework for Bias Analysis of Radar Data, Radar Rainfall Data Estimation and Use, (MOP -139), 73-93. 2019. https://doi.org/10.1061/9780784415115.ch07 ISBN: 978-0784415115

Ramesh S. V. Teegavarapu, Design of Rainfall Monitoring Networks, Radar Rainfall Data Estimation and Use, (MOP 139), 111-120. https://doi.org/10.1061/9780784415115.ch09  ISBN: 978-0784415115

Ramesh S. V. Teegavarapu, Statistical Analysis of Precipitation Extremes, in ASCE Book on Statistical Analysis of Hydrologic Variables: Methods and Applications, Ramesh Teegavarapu and Chandra Pathak, ASCE. 2019. https://doi.org/10.1061/9780784415177.ch02   ISBN: 978-0784415177

Ramesh S. V. Teegavarapu, Jose D. Salas, Jery R. Stedinger, Introduction in ASCE Book on Statistical Analysis of Hydrologic Variables: Methods and Applications, ISBN: 978-0784415177. https://doi.org/10.1061/9780784415177.ch02

Ramesh S. V. Teegavarapu, Climate Variability and Changes in Precipitation Extremes and Characteristics, Springer, 2016. In Sustainable Water Resources Planning and Management Under Climate Change. ISBN: 978-9811020490. https://doi.org/10.1007/978-981-10-2051-3_1

Elpida Kolokytha, Carlos de Oliveira Galvao, Ramesh S. V. Teegavarapu, Climate Change Impacts in Water Resources Management and Planning, Springer, 2016. In Sustainable Water Resources Planning and Management Under Climate Change. ISBN: 978-9811020490. https://doi.org/10.1007/978-981-10-2051-3_11

Ramesh S. V. Teegavarapu, Methods for Analysis of Trends and Change Detection, Elsevier Published, 2018. In Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change. ISBN: 978-0128109854. https://doi.org/10.1016/B978-0-12-810985-4.00001-3

Ramesh S. V. Teegavarapu, Changes and Trends in Precipitation Extremes and Characteristics: Links to Climate Variability, Elsevier (published), 2018. In Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change. ISBN: 978-0128109854. https://doi.org/10.1016/B978-0-12-810985-4.00002-5

Ramesh S. V. Teegavarapu, Alejandra Schmidt, Variations and Trends in Global and Regional Sea Levels, Elsevier (published), 2018. In Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change. ISBN: 978-0128109854.  https://doi.org/10.1016/B978-0-12-810985-4.00007-4

Ramesh S. V. Teegavarapu Technology Enhanced Learning for Civil Engineering Education: Use of Dynamic and Virtual-Reality based Simulation, Online Data Analysis and Optimization Tools, Taylor and Francis (in print) in the book: Blended Learning in Engineering Education: Recent Developments in Curriculum, Assessment, and Practice, 2018. ISBN-10:1138056227. https://doi.org/10.1201/9781315165486

Ramesh S. V. Teegavarapu, Precipitation and Climate Change, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, UNESCO, International Hydrology Series, 2013. & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Precipitation Measurement, Floods in a Changing Climate, Cambridge University Press: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Spatial Analysis of Precipitation, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Extreme Precipitation and Floods, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Climate Change Modeling and Precipitation, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Precipitation Variability, and Teleconnections, Floods in a Changing Climate: Extreme Precipitation, International Hydrology Series, 2013 & 2018. ISBN:9781107018785.https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Precipitation Trends, and Variability, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, 2013. & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Hydrologic Modeling and Design, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, 2013. & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu, Future Perspectives, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, 2013. & 2018. ISBN:9781107018785. https://doi.org/10.1017/CBO9781139088442 

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Books

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Ramesh S. V. Teegavarapu, Imputation Methods for Missing Hydrometeorological Data Estimation.  520 pages.  Springer 2024.  (57 Tables and 292 Figures created by Dr. T.). ASIN ‏ : ‎ B0D38N694H. Print length  : ‎ 873 pages. Hardback. https://doi.org/10.1007/978-3-031-60946-6

Ramesh S. V. Teegavarapu, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press-UNESCO (United Nations Educational Scientific and Cultural Organization), January 2013. 285 pages. Reprint Edition, March 2018. ASIN: ‎ B00A8GYO6W https://doi.org/10.1017/CBO9781139088442

Ramesh S. V. Teegavarapu and Priyank, J. Sharma. Stationarity: A Gentle Introduction. World Scientific Press (WSP).  300 pages. Spring 2025.  https://www.worldscientific.com/worldscibooks/10.1142/12810?srsltid=AfmBOoqt8Pwwp_Grg91B5asZKXTpkvfXdNB8wuwohDpb3HrpR49lV-Ld#t=aboutBook https://doi.org/10.1142/12810

Ramesh S. V. Teegavarapu and C. Viswanathan. Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management, 2022 Publisher: CRC Press. ISBN-13: 978-0367363789. Author of four out of six chapters. 140/182 pages. ISBN: 978-1032043258. [10 tables and 65 figures/illustrations were created by Dr. T.] https://doi.org/10.1201/9780429345555

Ramesh S. V. Teegavarapu, Elpida Kolokytha, Carlos de Oliveira Galvao. Lead & Co-Editor, Climate Change-Sensitive Water Resources Management, CRC Press, ISBN-10: 0367257882. December 2020. Lead Editor, Author of one, and co-author of two Chapters. August 1, 2022, by CRC Press. Paperback edition. https://doi.org/10.1201/9780429289873

Excerpts from two chapters co-authored by Dr. T. in this book are included in Sustainable Development Goals online (World’s most extensive specialist library created by Taylor and Francis to support United Nation’s Sustainable Development Goals initiative and help university researchers, faculty, and students understand and address humanity’s biggest challenges. *)

Ramesh S. V. Teegavarapu, Jose D. Salas, Jery R. Stedinger. Lead & Co-Editor, Statistical Analysis of Hydrologic Variables: Methods and Applications, ASCE, Published. Co-author of two Chapters. Book review: https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0002082 https://doi.org/10.1061/9780784415177

Chandra C. Pathak, Ramesh S. V. Teegavarapu, Co-Editor, Radar Rainfall Data Estimation and Use, ASCE, Author of four chapters. ISBN-13: 978-0784415115. Published May 2019 https://doi.org/10.1061/9780784415115

Elpida Kolokyth, Satoru Oishi, Ramesh S. V. Teegavarapu, one of the Co-Editors, Sustainable Water Resources Planning and Management under Climate Change, Springer, Published, December 2016.  Author(co-author): Two Chapters. ISBN-13: 978-9811020490. Since its publication, the book has reached more than 10,000 Chapter downloads. https://doi.org/10.1007/978-981-10-2051-3

Ramesh S. V. Teegavarapu, Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change, Elsevier, Book published in September 2018. Three chapters as a sole author or lead co-author. ISBN-13: 978-0128109854. https://shop.elsevier.com/books/trends-and-changes-in-hydroclimatic-variables/teegavarapu/978-0-12-810985-4

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Conference Publications

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Ramesh S. V. Teegavarapu. Considerations of Climate Variability Impacts for Adaptive and Resilient Hydrosystems. 41^st International Association for Hydro-Environment Engineering and Research (IAHR)  World Congress, Singapore. June 22-27, 2025.

Vilma Melendez, Ramesh S. V. Teegavarapu. Evaluation of Compound Extremes of Temperature and Precipitation in the State of Florida, United States. 41^st International Association for Hydro-Environment Engineering and Research (IAHR) World Congress, Singapore. June 22-27, 2025.

Achala Singh, Priyank J. Sharma, Ramesh S. V. Teegavarapu.  Exploring the Joint Behavior of Flood Characteristics in Semi-arid Rivers. 41^st International Association for Hydro-Environment Engineering and Research (IAHR)  World Congress, Singapore. June 22-27, 2025.

Sandipan, P. J. Priyank Sharma, Ramesh S. V. Teegavarapu, Multi-Product Assessment of the Precipitation Extremes during the Indian Summer Monsoon. HYDRO 2024. 29^th International Conference on Hydraulics, Water Resources, River and Coastal Engineering, December 18-20, 2024. Pune, India.

Sandipan, P. J. Priyank Sharma, Ramesh S. V. Teegavarapu. How Well Do the Gridded Rainfall Datasets Reproduce the Indian Summer Monsoon Rainfall Events? A Country-Wide and Regional Suitability Assessment, 41^st International Association for Hydro-Environment Engineering and Research (IAHR) World Congress, Singapore. 2025.

Achala Singh, Priyank J. Sharma, Ramesh S. V. Teegavarapu.  Multivariate Analysis of Flood Peak-Volume-Duration for a tropical river basin. International Conference on Water and Sustainable Development (ICWSD 2024), India, November 8-9, 2024.

Anant Patel, Sanjay M. Yadav, Ramesh S. V. Teegavarapu. Implementing Ensemble Bootstrapping-based Flood Forecasting Technique for TIGGE Data to Enhance Flood Warnings. Hydro 2024 International Conference, Pune. India. December 18-20, 2024.

Ramesh S. V. Teegavarapu, Thu Nguyen. Tree-based Approaches for Imputation of Missing Precipitation Records, International Association for Hydro-Environment Engineering and Research (IAHR) Europe, Lisbon, 4-7 June 2024.

Achala Singh, Priyank J. Sharma, Ramesh S. V. Teegavarapu. Disentangling non-stationarity linkages between streamflow and climate variables at the river basin scale. International Conference on Hydraulics, Water Resources, Environmental and Coastal Engineering (HYDRO 2023 International), December 2023, India.

Priyank J. Sharma, Ramesh S. V. Teegavarapu, Tibebe Dessalegne, Influence of Sea and Tidal Level Fluctuations on Operation of Coastal Hydraulic Systems. 27^th International Conference on Hydraulics, Water Resources, Environmental and Coastal Engineering (HYDRO 2022 International), December 2022,

Shivraj Meena, Priyank J. Sharma, Ramesh S. V. Teegavarapu, Changes in Flood Seasonality of Two Contrasting Catchments in the Tapi River Basin. 27^th International Conference on Hydraulics, Water Resources, Environmental and Coastal Engineering (HYDRO 2022 International), December 2022, India.

Ramesh S. V. Teegavarapu, Evaluation of Monthly Precipitation and Temperature Trends in the United States, Proceedings of International Association for Hydro-Environment Engineering and Research (IAHR) Europe 2022 Conference, Athens, 2022.

Ramesh S. V. Teegavarapu, Alexis Schauer, Priyank J. Sharma, Model Tree-based Approaches for Forecasting Hydroclimatic Variables at Different Temporal Scales, Proceedings of 39^th International Association for Hydro-Environment Engineering and Research (IAHR) World Congress, Granada, Spain, 2022.

Priyank Sharma and Ramesh S. V. Teegavarapu Performance Assessment of Coastal Hydraulic Structures: Influence of Sea Level and Tidal Variations, Proceedings of 39^th International Association for Hydro-Environment Engineering and Research (IAHR) World Congress, Granada, Spain, 2022.

Priyank Sharma and Ramesh S. V. Teegavarapu, Climate variability influences on seasonal precipitation-temperature associations across Florida. HYDRO 2020 International, 25^th International Conference on Hydraulics, Water Resources and Coastal Engineering, NIT, India, March 26-28, 2021. Best Paper Award Winner.

Wiji Nur Huda, , Hanggar Ganara Mawandha , Khafidzotun Ni’mah, Chandra Setyawan, Ngadisih Ngadisih , Satoru Oishi, Ramesh S. V. Teegavarapu, Evaluation of radar polarimetric variables for improved quantitative precipitation estimates, The 7^th International Conference on Science and Technology, Yogyakarta, Indonesia. 2021.

Kuntal Takker and Ramesh S. V. Teegavarapu, Evaluation of Influences of ENSO events on changes in temperature extremes and energy consumption in South Florida, EWRI-ASCE World Environmental and Water Resources Congress, EWRI, May 2020.

Hao Chen and Ramesh S. V. Teegavarapu, Relationship between Ocean-Atmospheric Variability and Regional Baseflow of the Continental United States, ASCE-EWRI World Environmental and Water Resources Congress, May 2019.

Ramesh S. V. Teegavarapu, Andrea Carpenter, Changes in Streamflow Extremes and Characteristics: Exploring Links to Climate Change and Variability, 13^th International Conference on Hydroinformatics, July 2018, Palermo, Italy.

V. Chandramouli, E. Hixon, J. Moreland, J.Wang, Z. Xiong, C.Zhou, Ramesh S. V. Teegavarapu, J. Fox, P. Behera Evaluating the usefulness of virtual 3D lab modules developed for a flooding system in student learning, NSF Grantees session, 123^rd ASEE Annual Conference and Exposition, June 26-29,2016. 10 pages, paper ID # 17064

Chandramouli, C. V., Ziong, Z., Wang, M., Moreland, J., Zhou, C., Ramesh S. V. Teegavarapu, Fox, J., Behera, P., and Hixon, E. Virtual 3D Modeling for Little Calumet River Flood Inundation Studies. EWRI-ASCE World Environmental and Water Congress, 2016: 99-103.

Chandramouli, C. V., Moreland, J., Wang, M. J., Ziong, Z., Zhou, C., Hixon, E., Ramesh S. V. Teegavarapu, Fox, J., and Behera, P. Flood Modeling Using a Virtual 3D Environment to Help Student Learning, Kentucky Water Resources Annual Symposium, Lexington, KY, March 2015, pp 41-42.

Ramesh S. V. Teegavarapu, Climate Variability and Changes in Streamflow and Precipitation Extremes. Extended abstract, International Association for Hydro-Environment Engineering and Research (IAHR) 2015, Hague, Netherlands. June 2015.

Evangelos I. Kasiar, E. Gunderson, Ramesh S. V. Teegavarapu, Implementing and Interpreting a Data Envelopment Analysis Model to Assess Safety and Security of Intermodal Facilities, 14th COTA International Conference of Transportation Professional, Safe, Smart, and Sustainable Multimodal Transportation Systems, July 4-7, 2014, Changsa, China. https://doi.org/10.1061/9780784413623.359

Husayn El. Sharif and Ramesh S. V. Teegavarapu, Site and Regional Statistics Preserving Interpolation for Missing Precipitation Data Estimation, ASCE-EWRI World Environmental and Water Resources Congress, 2013, ASCE, New Mexico, May 2013. https://doi.org/10.1061/9780784412947.248

Aneesh Goly, Ramesh S. V. Teegavarapu, Assessment of various Statistical Downscaling Methods for Downscaling Precipitation in Florida. ASCE-EWRI World Environmental and Water Resources Congress, Cincinnati, USA. 2013. https://doi.org/10.1061/9780784412947.105

Chandramouli Viswanathan, Karim Mohammad, Ramesh S. V. Teegavarapu*, Examining Climate Indices in the Midwest Region to Examine Droughts, ASCE-EWRI World Environmental and Water Resources Congress,1157-1163. 22 May 2013, Cincinnati, USA. https://doi.org/10.1061/9780784412947.112

Aneesh Goly, Ramesh S. V. Teegavarapu, Multi-Objective Optimization Methods for Bias Correction of Statistically Downscaled Precipitation, ASCE-EWRI World Environmental and Water Resources Congress, Cincinnati, USA. 2013. https://doi.org/10.1061/9780784412947.116

Ramesh S. V. Teegavarapu, Spatial Interpolation for Missing Precipitation Data: Use of Proximity Metrics, Nearest Neighbor Classifiers and Clusters, World Environmental and Water Resources Congress, ASCE, New Mexico, May 2012. https://doi.org/10.1061/9780784412312.394

Husayn El. Sharif and Ramesh S. V. Teegavarapu, Evaluation of Spatial Interpolation Methods for Missing Precipitation Data: Preservation of Spatial Statistics, Proceedings of World Environmental and Water Congress, ASCE/EWRI, New Mexico, May https://doi.org/10.1061/9780784412312.384

Ramesh S. V. Teegavarapu, Aneesh Goly, Chandramouli Viswanathan, Pradeep Behera, Precipitation Extremes and Climate Change: Evaluation using Descriptive WMO Indices. Proceedings of World Environmental and Water Congress, ASCE/EWRI, 2012, ASCE, New Mexico, May 2012. https://doi.org/10.1061/9780784412947.116

Aneesh Goly, Ramesh S. V. Teegavarapu, Influence of Teleconnections on Spatial and Temporal Variability of Extreme Precipitation Events in Florida, Proceedings of World Environmental and Water Congress, ASCE/EWRI, New Mexico, May 2012. https://doi.org/10.1061/9780784412312.190

Aneesh Goly, Ramesh S. V. Teegavarapu, Evaluation of Different Climate Change Models for Future Precipitation Projections in Florida, Proceedings of World Environmental and Water Congress, ASCE/EWRI, New Mexico, May 2012. https://doi.org/10.1061/9780784412312.184

Aneesh Goly, Ramesh S. V. Teegavarapu, Chandra Pathak, Influence of Temporal Resolution of Rain Gage Data on Bias Correction Procedures for NEXRAD Estimates, Abstract submitted to Proceedings of World Environmental and Water Congress, ASCE/EWRI, New Mexico, May 2012. https://doi.org/10.1061/9780784412312.389

Ramesh S. V. Teegavarapu, and Chandra Pathak, Development of Optimal Forms of Z-R relationships, Weather Radar and Hydrology Symposium, Exeter, England, April 2011, 6 pages.

Ramesh S. V. Teegavarapu, Anurag Nayak, Chandra Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis, EWRI-ASCE World Environmental and Water Congress, 10 pages, ASCE, 2011. https://doi.org/10.1061/41173(414)419

Chandramouli Viswanathan, Madhusudhan Gowda, Ramesh S. V. Teegavarapu, Developing Fecal TMDLs using Fuzzy-based Approach. Proceedings of Watershed Management Conference: Innovations in Watershed Management under Land Use and Climate Change, Wisconsin, Madison, August 2010. https://doi.org/10.1061/41143(394)48

Le Zeng, Chandramouli Viswanathan, Chandra. S. Pathak, Ramesh S. V. Teegavarapu, Radar Specific Z-R Relationships Using ANN Models, EWRI-ASCE World Environmental and Water Congress, 2012. https://doi.org/10.1061/9780784412312.393

Ramesh S. V. Teegavarapu, Chandra Pathak, Utility of Optimal Reflectivity-Rain Rate (Z-R) Relationships for Improved Precipitation Estimates, EWRI-ASCE World Environmental and Water Congress, https://doi.org/10.1061/41114(371)475

Pradeep Behera, Yiping Gao, Ramesh S.V. Teegavarapu, Evaluation of Antecedent Storm Event Characteristics for different Climatic Regions based on Inter-event Time Definition (IETD), EWRI-ASCE World Environmental and Water Congress, https://doi.org/10.1061/41114(371)251

Ramesh S. V. Teegavarapu, Sharika Senarath, Chandra Pathak, Sampling Schemes for Uncertainty Assessment of a Hydrologic Simulation Model, EWRI-ASCE World Environmental and Water Congress, 2010. https://doi.org/10.1061/41114(371)484

Ramesh S. V. Teegavarapu, Chandra Pathak, Singaiah Chintalapudi. Infilling Missing Precipitation Data using NEXRAD Data: Use of Optimal Spatial Interpolation and Data-Driven Methods, EWRI-ASCE World Environmental and Water Congress, 2010. https://doi.org/10.1061/41114(371)473

Ramesh S. V. Teegavarapu, Spatial Precipitation Analysis for Continuous Estimation (SPACE): Patterns, Organization and Processes, 3^rd International Perspective on Current and Future State of Water Resources and the Environment, Conference, EWRI, 2010.

Andre Ferreira and Ramesh S. V. Teegavarapu, Optimal Operation of Hydropower Systems Using a Partial Constraint Satisfaction Approach, 3^rd International Perspective on Current and Future State of Water Resources and the Environment, Conference, EWRI, 2010. Indian Institute of Technology, Madras, India.

Ramesh S.V. Teegavarapu, Sustainable, Climate-sensitive and Adaptive Hydrosystems Management and Hydrologic Design: Issues and Approaches, Proceedings of 2010 International Workshop on Water Resources: Impacts of Climate Change and Adaptation, Seoul, South Korea,

Panagiotis Scarlatos, E. Kaisar and Ramesh S. V. Teegavarapu, Modeling and Simulation of Catastrophic Events Affecting Critical Infrastructure Systems, WSEAS-Applied Computing Conference (ACC’09) in Vouliagmeni, Greece.

Scott Orbitz, E. Kaisar, Ramesh S. V. Teegavarapu, Mixed-Integer Nonlinear Programming Model to Optimize the Use of Aircraft Deicing and Anti-icing Fluids, Transportation Research Board, 2010.

Ala Aly, Chandra S. Pathak, Ramesh S. V. Teegavarapu, Henry Fuelberg, Jon Ahlquist, Evaluation of Improvised Spatial Interpolation Methods for Infilling Missing Precipitation Records, CDROM Proceedings of ASCE/EWRI World Environmental and Water Resources Congress, Kansas City, May 2009. https://doi.org/10.1061/41036(342)598

Ramesh S. V. Teegavarapu, Chandra S. Pathak, and Tadesse Meskele, Evaluation of Spatial Weighting Methods for Transformation of Multi-Sensor Precipitation Estimates, CDROM Proceedings of ASCE/EWRI International Conference, Kansas City, May 2009.

Chandra S. Pathak, John R. Mecikalski, Ramesh S. Teegavarapu, and Jayanthi Srikishen Design of Solar Radiation Sensor Network Using Geo-Statistical Methods CDROM Proceedings of ASCE/EWRI World Environmental and Water Resources Congress, Kansas City, May 2009. https://doi.org/10.1061/41036(342)596

Pradeep Behera and Ramesh S. V. Teegavarapu, Optimization of Regional Stormwater Systems Using Genetic Algorithms, CDROM Proceedings of ASCE/EWRI International Conference, Kansas City, May 2009. https://doi.org/10.1061/41036(342)633

Scott Huebner, Chandra S. Pathak, and Ramesh S. V. Teegavarapu, Understanding Uncertainties in Water Budget for Large Constructed Wetlands, CDROM Proceedings of ASCE/EWRI World Environmental and Water Resources Congress, Kansas City, May 2009. https://doi.org/10.1061/41036(342)663

Ramesh S. V. Teegavarapu and Chandra Pathak, Estimation of Uncertainties in Water Budget for Large Constructed Wetlands, Proceedings of ASCE International Conference, Thailand, 2009.

Ramesh S. V. Teegavarapu, Innovative Spatial Interpolation Methods for Estimation of Missing Precipitation Records: Concepts and Applications, Hydro-Predict, International Conference, 2008.

Ramesh S. V. Teegavarapu, Panagiotis Scarlatos, Yossi Kaner, Computer Simulation and Animation for Catastrophic Flood Events, 9^th Biennial Conference: Protection and Restoration of the Environment IX., Greece, eight

Elizabeth Gunderson, E. Kaisar, Ramesh S. V. Teegavarapu, A Collaborative Model for Assessment of Inter-Modal Transportation Safety and Security, 2007, ATT conference.

Scott Ornitz, E. Kaisar, Ramesh S. V. Teegavarapu, Optimizing the use of Anti-Icing and De-Icing Fluids under Budgetary, Infrastructure, and Environmental Compliance Constraints, 2007, ATT Conference, 11 pages.

Ramesh S. V. Teegavarapu and Pankaj Bajaj, Optimal Spatial Weighting Methods for Estimation of Missing Rain Gage Records, ASCE, World Environmental and Water Resources Congress, 2008. https://doi.org/10.1061/40976(316)402

Ramesh S. V. Teegavarapu, Delroy Peters and Chandra Pathak, Evaluation of Functional Forms of Rain Gage – Radar (NEXRAD) Data Relationships, EWRI-ASCE, World Environmental and Water Resources Congress, 2008. https://doi.org/10.1061/40976(316)413

Ramesh S. V. Teegavarapu and Chandra Pathak. Infilling of Rain Gage Records using Radar (NEXRAD) Data: Influence of spatial and temporal variability of rainfall processes, EWRI-ASCE, World Environmental and Water Resources Congress, 2008. https://doi.org/10.1061/40976(316)406

Evangelos Kaisar, Elizabeth Gunderson and Ramesh S. V. Teegavarapu, A Data Envelopment Analysis Model to Assess the Efficiency of Inter-Modal Transportation Systems, INFORMS, TA35,

Ramesh S. V. Teegavarapu, Seth Bradley, and Lindell Ormsbee, Probabilistic Goal-Driven Water Quality Management, EWRI- ASCE, World Environmental and Water Resources Congress, 2007; 10 pages. https://doi.org/10.1061/40927(243)606

Ramesh S. V. Teegavarapu and S. P. Simonovic, Operation of Hydrosystems under Uncertain Decision-Making EWRI- ASCE, World Environmental and Water Resources Congress, 2007. 10 pages. https://doi.org/10.1061/40927(243)554

Aswartha Balla, Ramesh S. V. Teegavarapu, Chandramouli Viswanathan, Lindell Ormsbee, Evaluation of Spatial Interpolation Techniques for Estimation of Missing Precipitation Data, Proceedings of World Environmental and Water Congress ASCE, Tampa, 2007.

Ramesh S.V. Teegavarapu, and Lindell Ormsbee, A Spatio-Temporal Analysis Framework for Assessment of Water Quality Data, EWRI, Proceedings of World Environmental and Water Congress ASCE, 2007, 10 pages. https://doi.org/10.1061/40927(243)314

Ramesh S.V. Teegavarapu, Mohammad Tufail and Lindell Ormsbee, Optimal Functional Forms for Spatial Interpolation of Precipitation Data, Proceedings of 5^th International Conference on Environmental Informatics, Bowling Green, Kentucky. 2006, 11 pages.

Ramesh S.V. Teegavarapu, C. Viswanathan and Lindell Ormsbee, Effect of DEM Resolution on the Hydrological and Water Quality Modeling, 8 pages, EWRI-ASCE, Proceedings of World Environmental and Water Congress, 2006, Omaha. https://doi.org/10.1061/40856(200)216

Ramesh S.V. Teegavarapu, and Lindell Ormsbee.  Sustainable and Climate Sensitive Hydrologic Design and Management of Hydrosystems Proceedings of World Water and Environmental Resources Congress: Impacts of Global Climate Change, Proceedings of World Environmental and Water Congress, ASCE/EWRI, 0-7844-0792-4 2005, 11 pages. https://doi.org/10.1061/40792(173)332

Lindell Ormsbee, Ramesh S. V. Teegavarapu and Anil Tangirala, Development of Pathogen TMDLs within a Stochastic Framework, Critical Transitions in Water and Environmental Resources Management, Gerald Sehlke, (editor), Donald F. Hayes, (editor), and David K. Stevens, (editor), EWRI, Proceedings of World Environmental and Water Congress, ASCE/EWRI, pp 1-9, 2004. https://doi.org/10.1061/40737(2004)167

Lindell Ormsbee, Ramesh S. V. Teegavarapu and Joseph Okeyere, Simulation Models for Assessment of Pathogen Loads at a Watershed Scale, Abstract published. Annual Conference of American Institute of Hydrology, October

Ramesh S.V. Teegavarapu, Anil Tangirala, and Lindell Ormsbee. MIST (Model Identification and Selection Tool): A knowledge-based System for Selection of Water Quality Models, Published in CDROM Proceedings, 40704-008-004, in Design and Decision Support Tools, 11 pages, 4^th Information Technology Symposium, ASCE, November  https://doi.org/10.1061/40704(2003)34

Ramesh S. V. Teegavarapu and Lindell Ormsbee, Estimating Nutrient Loadings using GIS: Spatial Variability of Precipitation and Event Mean Concentrations, CDROM Abstract Proceeding of AWRA Annual Conference, San Diego 2003.

Ramesh S.V. Teegavarapu, Anil Tangirala and Lindell Ormsbee, STREAMS (STReam Environment Assessment and Monitoring System): A Knowledge-Assisted Assessment system (KAAS) for Evaluation and Monitoring of Impaired Streams, 8 pages, Environmental Informatics Archives, 2003.

Anil Tangirala, Ramesh S.V. Teegavarapu, and Lindell Ormsbee; Modeling Adaptive Water Quality Management Strategies Using System Dynamics Simulation, 8 pages, Environmental Informatics Archives, 2003.

Ramesh S.V. Teegavarapu, Modeling and Management of Hydrosystems: Detail, Dynamic and Spatial Complexities, 14k-01, 2002, International Framework on Water Dynamics, pages: C1-C19, coordinator/editor, Shuichi Ikebuchi, Kyoto University, Japan.

Ramesh S.V. Teegavarapu, Amin Elshorbagy and Lindell Ormsbee; Inductive Modeling of Nutrient Loadings in Streams, extended abstract accepted to Mississippi River Climate and Hydrology Conference, May 17-20, 2002. New Orleans.

Ramesh S. V. Teegavarapu and S. P. Simonovic; Optimal Operation of Water Resource Systems: Trade-offs between Modeling and Practical Solutions, International Symposium on Integrated Water Resources Management, California, USA, April 2000. Peer-reviewed paper published in International Association of Hydrological Sciences (IAHS) Red Book. ISBN Number: 978-1-901502-71-8

Ramesh S. V. Teegavarapu and S. P. Simonovic; System Dynamics Simulation Model for Operation of Multiple Reservoirs, CDROM Proceedings of World Water Congress, Melbourne, Australia, 11 – 17, March 2000. eight pages.

Ramesh S. V. Teegavarapu and P. P. Mujumdar; Rainfall Forecasting using Neural Networks, Seventh International Association for Hydro-Environment Engineering and Research (IAHR) International Symposium on Stochastic Hydraulics, Vol I, pp 325 – 332, 29th-31st July 1996, Mackay, Australia.

Ramesh S. V. Teegavarapu and B. Bapineedu; A knowledge-based System for Estimation of Manning’s Roughness Coefficient, Proceedings of 9th Congress of Asia Pacific Division-International Association for Hydro-Environment Engineering and Research (APD-IAHR), 278 – 285, Vol I, August 1994, Singapore.  *Young Scientist Award from the Center for Scientific and Industrial Research (CSIR), India, to present this paper.

Vedula, Ramesh S. V. Teegavarapu and P. P. Mujumdar; Real-Time Irrigation Scheduling, Proceedings of International Conference on Environmentally Sound Water Resources Utilization, 8 – 11, Vol II, November 1993, Bangkok, Thailand.  

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Peer-reviewed Published Abstracts

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1. Achala Singh, Priyank Sharma, Ramesh S. V. Teegavarapu, A Novel Approach for Assessing Non-stationarity in Hydroclimatic Extremes. European Geophysical Union (EGU) General Assembly, April  2025. Accepted.
2. Ramesh S. V. Teegavarapu, Objective and Optimal Spatial Interpolation Approaches for Imputing Missing Precipitation Records. European Geophysical Union (EGU) General Assembly, April 2025. Accepted.
3. Thu Nguyen, Anika Azad, Ramesh S. V. Teegavarapu,  Model Tree, and Regularization Approaches for Estimation of Missing precipitation Records. European Geophysical Union (EGU) General Assembly  2024, Vienna, April 2024.  2024EGUGA..2618097N. https://ui.adsabs.harvard.edu/link_gateway/2024EGUGA..2618097N/doi:10.5194/egusphere-egu24-18097
4. Achala Singh, Priyank Sharma, Ramesh S. V. Teegavarapu,  Navigating Hydroclimatic Extremes: Understanding the Interplay of Climate Change and Variability. European Geophysical Union (EGU) General Assembly 2024, Vienna, April 2024.  2024EGUGA..2614414S.  https://ui.adsabs.harvard.edu/link_gateway/2024EGUGA..2614414S/doi:10.5194/egusphere-egu24-14414
5. Ramesh S. V. Teegavarapu, Priyank Sharma, Diego Jara Li. Stationarity Assessment of Precipitation and Temperature Extremes in the Continental United States. European Geophysical Union (EGU) General Assembly  2023, Vienna, April 25, 2023.  2023EGUGA..2513123T. https://ui.adsabs.harvard.edu/link_gateway/2023EGUGA..2513123T/doi:10.5194/egusphere-egu23-13123
6. Achala Singh, Priyank, J. Sharma, Ramesh S. V. Teegavarapu, Stationarity Assessment of Hydroclimatic Variables for a Tropical River Basin. European Geophysical Union (EGU) General Assembly,  2023, Vienna, April 25, 2023. 2023EGUGA..25..634S. https://ui.adsabs.harvard.edu/link_gateway/2023EGUGA..25..634S/doi:10.5194/egusphere-egu23-634
7. Ramesh S. V. Teegavarapu, Precipitation Imputation using Optimal Probability Space-based Interpolation, European Geophysical Union (EGU) General Assembly, 2020.  2020EGUGA..2220930T.https://ui.adsabs.harvard.edu/link_gateway/2020EGUGA..2220930T/doi:10.5194/egusphere-egu2020-20930  Not presented due to COVID.
8. Patel, P. L., Sharma, P., and Ramesh. S. V. Teegavarapu. Assessing the utility of climate variability information in streamflow forecasting, European Geophysical Union (EGU) General Assembly 2021, online, 19–30 Apr 2021. 2021EGUGA..2314633L.  https://ui.adsabs.harvard.edu/link_gateway/2021EGUGA..2314633L/doi:10.5194/egusphere-egu21-14633
9. Sina Borzooei, Ramesh S. V. Teegavarapu, Soroush Abolfathi, Youri Amerlinck, Ingmar Nopens and Maria Chiara Zanetti, Evaluation of the Impact of Wet-weather Events on Influent Flow and Loadings of a Water Resource Recovery Facility, 11^th International Conference on Urban Drainage Modelling, 23-26 September 2018, Palermo, Italy. 706-707.
10. C. Pathak and Ramesh S. V. Teegavarapu, Radar-based Precipitation Estimates Use in Hydrologic Modeling and Extreme Event Analysis: Emerging Issues, Applications, and Lessons Learned, ASCE-EWRI World Environmental and Water Congress, Sacramento, May 2017.
11. Pradeep Behera, Ramesh S. V. Teegavarapu, C. Pathak. Variability of Storm Event Characteristics in Different Climate Zones of Continental United States: Implications for Stormwater Management and Hydrologic Design. ASCE-EWRI World Environmental and Water Congress, Sacramento, May 2017.
12. Pradeep Behera, Ramesh S. V. Teegavarapu, et al. Tracking Changes and Trends in the Potomac River Stream Flow Extremes and Characteristics. ASCE-EWRI World Environmental and Water Congress,  2016 International Conference, West Palm Beach, Florida, USA.
13. Ramesh S. V. Teegavarapu, C. Chandramouli, P. Behera. Evaluating between Sea Level Variations and Climate Variability for the Continental United States, ASCE-EWRI World Environmental and Water Congress, 2016 International Conference, West Palm Beach, Florida, USA.
14. Ramesh S. V. Teegavarapu, Low Flow Variability, and Coupled Oceanic-Atmospheric Oscillations, American Geophysical Union (AGU) Fall Meeting, December 2014.  2014AGUFM.H23N1086T
15. Aneesh Goly and Ramesh S. V. Teegavarapu, Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation. American Geophysical Union (AGU) Fall Meeting, December 2014.  2014AGUFM.H13F1188G
16. Sudhagar Nagarajan, Yushin Ahn, Ramesh S. V. Teegavarapu, Analytical Incorporation of Velocity Parameters into Ice Sheet Elevation Change Rate Computations. American Geophysical Union (AGU) Fall Meeting, Extended Abstract: # C21C-0361. 2014AGUFM.C21C0361N
17. Ramesh S. V. Teegavarapu, Hydrologic Design under Changing Regional Precipitation Extremes and Characteristics: Influences of Climate Variability and Change, KOBE-EU Symposium, October 13-15, 2014.
18. Chandra Pathak, Ramesh S. V. Teegavarapu, Uncertainty Analysis Approaches in Hydrologic Modeling, ASCE-EWRI World Environmental and Water Congress, 2014.
19. Ramesh S. V. Teegavarapu, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, ASCE-EWRI World Environmental and Water Congress, 2014.
20. Ramesh S. V. Teegavarapu and Milla Pierce, Precipitation Regime Changes under Decadal and Multi-Decadal Oscillations, ASCE-EWRI World Environmental and Water Congress, 2014.
21. Ramesh S. V. Teegavarapu, Chandra Pathak, Optimizing Reflectivity-Rain Rate (Z-R) Relationship Parameters for Improved Radar-based Precipitation Estimates, Weather Radar and Hydrology (WRaH) International Symposium, April 7-9, Washington DC,  2014.
22. Ramesh S. V. Teegavarapu, Aneesh Goly, Quinlong Wu, A Comprehensive Framework for Assessment of Radar Data, Weather Radar and Hydrology (WRaH) International Symposium, April 7-9, Washington DC,  2014.
23. Ramesh S. V. Teegavarapu,  Uncertainty Assessments of Spatially Interpolated Missing Precipitation Data Estimates, American Geophysical Union (AGU) Fall Meeting, 2013. 2013AGUFM.H33B1343T
24. Aneesh Goly,  Ramesh S. V. Teegavarapu,  Coupled Oceanic-Atmospheric Variability at Different Temporal Scales and U.S. Precipitation Characteristics, American Geophysical Union (AGU) Fall Meeting, 2013. 2013AGUFM.H52B..05G
25. Aneesh Goly,  Ramesh S. V. Teegavarapu, Comparative Assessment of Statistical Downscaling Methods for Precipitation in Florida, American Geophysical Union (AGU) Fall Meeting, 2012. 2012AGUFMGC41B0966G
26. Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Records using Classifier, Cluster and Proximity Metric-Based Interpolation Schemes.  American Geophysical Union (AGU) Fall Meeting, 2012. 2012AGUFM.H33K1489T
27. Husayn El. Sharif, Ramesh S. V. Teegavarapu, Evaluation of Fuzzy-Logic Framework for Spatial Statistics Preserving Methods for Estimation of Missing Precipitation Data.  American Geophysical Union (AGU) Fall Meeting, 2012. 2012AGUFM.H33C1352E
28. Husayn El. Sharif, Ramesh S. V. Teegavarapu, Spatial Statistics Preserving Interpolation Methods for Estimation of Missing Precipitation Data. American Geophysical Union (AGU) Fall Meeting, 2011. 2011AGUFM.H41G1132E
29. Ramesh S. V. Teegavarapu,  Viswanathan, C., Behera P. Variability of Precipitation Extremes and Climate Change: Evaluation using Descriptive Indices. American Geophysical Union (AGU) Fall Meeting, 2011. 2011AGUFM.H21D1138T
30. Ramesh S. V. Teegavarapu, Anurag Nayak, Chandra Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis, American Geophysical Union (AGU) Fall Meeting, 2010.  2010AGUFM.H13E1020T.
31. Noemi Gonzalez, Ramesh S. V. Teegavarapu, Lin Huang, Evaluation of Spatial and Temporal Distribution of Extreme Precipitation Events and their Relation to Peak Flooding, American Geophysical Union (AGU) Fall Meeting, 2010. 2010AGUFM.H13E1021G.
32. Ramesh S. V. Teegavarapu, Sharika U. Senarath, Chandra S. Pathak. Evaluation of Variants of Monte Carlo Simulation for Hydrologic Model Uncertainty Assessment, American Geophysical Union (AGU) Fall Meeting, 2009. 2009AGUFM.H41F0963T
33. Andre Ferreira, Ramesh S. V. Teegavarapu, Chandra S. Pathak. Evaluation of Optimal Reflectivity-Rain Rate (Z-R) Relationships for Improved Precipitation Estimates, American Geophysical Union (AGU) Fall Meeting, 2009. 2009AGUFM.H31D0805F
34. Meskele, T., Ramesh. S. V. Teegavarapu, Chandra S. Pathak. Comparative Evaluation of NEXRAD and TRMM Satellite based Precipitation Estimates and Rain Gage Measurements, American Geophysical Union (AGU) Fall Meeting, 2008. 2008AGUFM.H23E1023M
35. Ramesh. S. V. Teegavarapu, Meskele, T.,  Chandra S. Pathak, Geo-Spatial Grid-based Transformations of Multi-Sensor Precipitation Estimates, American Geophysical Union (AGU) Fall Meeting, 2008. 2008AGUFM.H23E1022T
36. Ramesh. S. V. Teegavarapu,Water Resources Management and Hydrologic Design Under Uncertain Climate Change Scenarios, American Geophysical Union (AGU) Spring  Meeting, 2008. 2008AGUSM.H51B..04T
37. Ramesh. S. V. Teegavarapu,Optimal Cluster-based Models for Estimation of Missing Precipitation Records, American Geophysical Union (AGU) Fall Spring Meeting, 2008. 2008AGUSM.H23A..06T
38. Delroy Peters, Ramesh. S. V. Teegavarapu, Chandra S. Pathak. Characterizing Rain Gage – Radar (NEXRAD) Data Relationships Using Inductive Modeling, American Geophysical Union (AGU) Fall Meeting, 2007. 2007AGUFM.H23K..08P
39. Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Data using Soft Computing based Spatial Interpolation Techniques, American Geophysical Union (AGU) Fall Meeting, 2007.  2007AGUFM.H13H1683T
40. Ramesh S.V.  Teegavarapu, Integration of Spatial Interpolation Techniques and Association Rules for Estimation of Missing Precipitation Data, American Geophysical Union (AGU) Fall Meeting,  2006.  2006AGUFM.H23D1544T
41. Ramesh S.V. Teegavarapu, Seth Bradley and Lindell Ormsbee, Probabilistic Goal-Driven Water Quality Management, abstract published, American Geological Society (AGS) Annual Meeting, March 2006. Presented by Seth Bradley.
42. Seth Bradley, Lindell Ormsbee, Ramesh S.V.  Teegavarapu, Modeling the Fate and Transport of Pathogens in a Watershed using Discrete Volume Method, abstract published, American Geological Society (AGS) Annual Meeting, March 2006.
43. Ramesh S. V. Teegavarapu, and Lindell Ormsbee. Sustainable and Climate Sensitive Hydrologic Design and Management of Hydrosystems. Proceedings of ASCE Conference on Impacts of Global Climate Change, Alaska. https://doi.org/10.1061/40792(173)332
44. Ramesh S.V. Teegavarapu, A New Integrated Neural Network Architecture for Streamflow Forecasting, abstract, American Geophysical Union (AGU) Fall Meeting, December 2005.  EOS transactions, 86(52), H54B-08. 2005AGUFM.H54B..08T
45. Viswanathan C., Ramesh S. V. Teegavarapu, Lindell Ormsbee. Surface Water Assessment and Hydrologic Modeling under Karst Aquifer Conditions. American Geophysical Union (AGU) Fall Meeting, December 2005.  2005AGUFM.H21A1320V
46. Ramesh S. V. Teegavarapu, and Lindell Ormsbee, Regional Assessment of Pathogen Pollution Using Kriging Approach, EOS transactions, American Geophysical Union (AGU) Fall Meeting, December 2004.  H53A-1210, 85(47), 2004.  2004AGUFM.H53A1210T
47. Ramesh S.V. Teegavarapu, Anil Tangirala, and Lindell Ormsbee.  Assessing Hydrologic Similarity of Watersheds by Analyzing Geometric Patterns in Streamflow Time Series, Abstract in EOS Transactions 84(46), American Geophysical Union (AGU) Fall Meeting, 2003. 2003AGUFM.H12B0969T.
48. Anil Tangirala, Ramesh S.V.  Teegavarapu and Lindell Ormsbee.  Developing Water Quality Management Strategies at Different Watershed Scales Using System Dynamics Simulation, Abstract in EOS Transactions 84(46), American Geophysical Union (AGU) Fall Meeting, 2003. 2003AGUFM.H51C1064T
49. Ramesh S.V. Teegavarapu, Improving Neural Network Performance for Streamflow Prediction: Use of Geometrical Patterns in Time Series, extended abstract, AWRA Annual Conference, November 2002, p129, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.
50. Ramesh S.V. Teegavarapu, Amin Elshorbagy and Lindell Ormsbee; Characterizing Pollutant Loadings in Streams using System Dynamics Simulation, extended abstract, Proceedings of AWRA Annual Conference, November 2002, p 247, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.
51. Amin Elshorbagy, Ramesh S.V. Teegavarapu and Lindell Ormsbee; System Dynamics, GIS and Inductive Modeling: A Tool Kit for Water Quality Management, extended abstract, Proceedings of AWRA Annual Conference, November 2002, p 64, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.
52. Ramesh S.V.  Teegavarapu and Lindell Ormsbee; Modeling Environmental Systems using System Dynamics Approach and Object-Oriented Simulation Tools, extended abstract published in CD ROM proceedings of AEESP/AAEE Conference, Understanding Complex Environmental systems, pp 52, 2002.
53. Ramesh S. V. Teegavarapu and Amin El-Shorbagy; Disaggregation of Streamflows Using Neural Networks, Extended Abstract published. International Conference of the American Institute of Hydrology (AIH), November 2000.

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Research Posters Presented

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1. Thu Nguyen, Anika Azad, Ramesh S. V. Teegavarapu. Model Tree and Regularization Models for Estimating Missing Precipitation Records, European Geophysical Union (EGU), 2024. Vienna, Presented.
2. Anika Azad,  Ramesh S. V. Teegavarapu, Frederick Bloetscher, Evaluation of Coastal Flooding-based Inundation Linked to Extreme Storm Events and Sea Level Conditions, College of Engineering and Computer Science, February 19,  2024.  Best Poster Award.
3. Anika Azad,  Ramesh S. V. Teegavarapu. Regularization Models for Imputation of Missing Precipitation Data, Florida Society of Geographers, Conference, February 16-17, 2024. Best Poster 2^nd Place
4. Anika Azad, Stephanya Salazar, Ramesh S. V. Teegavarapu and others. Evaluation of Spatial Inundation Extents Considering Uncertainty in Precipitation Extremes along with Structural Stormwater Management Options, 33^rd Annual Southwest Florida Water Resources Conference, Jan 26th, 2024. Best Poster 3^rd Place
5. Ramesh S. V. Teegavarapu, Priyank Sharma, Diego Jara Li. Stationarity Assessment of Precipitation and Temperature Extremes in the Continental United States. European Geophysical Union (EGU),  2023, Vienna, April 25, 2023.
6. Achala Singh, Priyank, J. Sharma, Ramesh S. V. Teegavarapu, Stationarity Assessment of Hydroclimatic Variables for a Tropical River Basin. European Geophysical Union (EGU), 2023, Vienna, April 25, 2023.
7. Hindle, T., Bloetscher, F., Su, H., Mitsova, D., Ramesh S. V. Teegavarapu, Azad, A., Egger, Shannon. GIS-based Flood Risk Modeling to Support the Watershed Planning Initiative. Catastrophe Modeling and Data Conference, Lehigh University, March 2023.
8. Hao Chen and Ramesh S. V. Teegavarapu, Spatial and temporal baseflow trends in the continental United States,  EWRI/ASCE World Environmental and Water Congress,  2019. May 2019.
9. Ramesh S. V. Teegavarapu, Mapping Spatial, and Temporal Agricultural Water Availability and Productivity Influenced by Precipitation Extremes: Impacts of Climate Variability and Change in India. ASABE/ISAE Global Water Security Conference, Hyderabad, India, Oct 3-Oct 6, 2018.
10. Hao Chen and Ramesh S. V. Teegavarapu, Spatial and temporal baseflow trends in United States, American Geophysical Union (AGU) Fall Meeting, Dec 10-14, 2018. H51L-1457.
11. SinaBorzooei, Ramesh S. V. Teegavarapu, Soroush Abolfathi, Eugenio Lorenzi, Youri Amerlinck, Ingmar Nopens, Maria Chiara Zanetti, Evaluation of the impact of wet-weather events on Influent Flow and Loading of Water Resource Recovery Facility, 5th BeNeLux conference, Gent, Belgium, 5- 7th July 2017.
12. Pradeep Behera, Ramesh S. V. Teegavarapu, et al. Tracking Changes and Trends in the Potomac River Stream Flow Extremes and Characteristics. ASCE-EWRI, Environmental and Water Congress, West Palm Beach, Florida, USA. 2016.
13. Ramesh S. V. Teegavarapu, Pradeep Behera, Milla Pierce, Precipitation Characteristics and Climate Variability, EWRI/ASCE World Environmental and Water Congress, Austin, Texas, May 18, 2015.
14. Aneesh Goly, Ramesh S. V. Teegavarapu Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation, American Geophysical Union (AGU) Fall Meeting, 2014. December 15, 2014.
15. Sudhagar Nagarajan, Yushin Ahn, Ramesh S. V. Teegavarapu, Analytical Incorporation of Velocity Parameters into Ice Sheet Elevation Change Rate Computations, American Geophysical Union (AGU) Fall Meeting, 2014. December 16, 2014.
16. Ramesh S. V. Teegavarapu and Chandra Pathak, Optimizing Reflectivity-Rain Rate (Z-R) Relationship Parameters for Improved Radar-based Precipitation Estimates, Weather Radar and Hydrology (WRaH) Conference, 2014. Washington D.C., April 8, 2014. 
17. Ramesh S. V. Teegavarapu, Uncertainty Assessments of Spatially Interpolated Missing Precipitation Data Estimates, American Geophysical Union (AGU) Fall Meeting, San Francisco, December 8-14, 2013. 
18. Chandramouli Viswanathan, Karim Mohammad, Ramesh S. V. Teegavarapu*, Examining Climate Indices in the Midwest Region to Examine Droughts, ASCE-EWRI World Environmental and Water Congress, ASCE-EWRI,1157-1163. 22 May 2013, Cincinnati, USA. https://doi.org/10.1061/9780784412947.112
19. Aneesh Goly, Ramesh S. V. Teegavarapu, Selection and Evaluation of Different Spatial Resolutions for Statistical Downscaling of Precipitation, ASCE-EWRI, Environmental and Water Congress, 22 May 2013, Cincinnati, USA.
20. Aneesh Goly, Ramesh S. V. Teegavarapu, Statistical Characterization and Assessment of Precipitation Extremes during Different Phases of Multi-year and Multi-Decadal Climatic Oscillations, ASCE-EWRI, Environmental and Water Congress, 21 May 2013, Cincinnati, USA.
21. Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Records using Classifier, Cluster and Proximity Metric-Based Interpolation Schemes, American Geophysical Union (AGU) Fall Meeting, 2012.
22. Ramesh S. V. Teegavarapu, Integration of Spatial Interpolation Techniques and Association Rules for Estimation of Missing Precipitation Data. American Geophysical Union (AGU) Fall Meeting, December 6, 2006.
23. Husayn El Sharif and Ramesh S.V. Teegavarapu, Spatial Statistics Preserving Methods for Estimation of Missing Precipitation Data Involving a Single Best Estimator, FAU Research Day, March 30, 2012. Award Winner.
24. Aneesh Goly and Ramesh S. V. Teegavarapu, Evaluation of GCM and Scenario Uncertainty for GCM Downscaled Future Precipitation Projections in Florida, FAU Research Day, March 30, 2012.
25. Ramesh S. V. Teegavarapu, Chandramouli Viswanathan, Ravi Chittamuru, Examining climate change indices using Indiana rainfall data, KWRRI Annual Symposium, 2012.
26. Husayn El. Sharif, Ramesh S. V. Teegavarapu, Spatial Statistics Preserving Interpolation Methods for Estimation of Missing Precipitation Data, American Geophysical Union (AGU) Fall Meeting, 2011.
27. Aneesh Goly, Ramesh S. V. Teegavarapu, Spatial and Temporal Variation of Precipitation Extremes in Florida: Influence of Teleconnections, American Geophysical Union (AGU) Fall Meeting, 2011.
28. Aneesh Goly, Ramesh S. V. Teegavarapu, Climate Change, and Variability: Influence of Teleconnections, FAU Research Week, 2011.
29. Lin Chia Hung, Ramesh S. V. Teegavarapu, Extreme Precipitation and Flooding Events in South Florida, FAU Research Week, 2011.
30. Aneesh Goly, Ramesh S. V. Teegavarapu, Assessment of Extreme Precipitation Events in Florida during AMO (Atlantic Multi-Decadal Oscillation) Phases, FAU Research Symposium, April 8, 2011.
31. Ramesh S. V. Teegavarapu, Chandramouli Viswanathan, Pradeep Behera, Variability of Precipitation Extremes and Climate Change: Evaluation using Descriptive Indices, American Geophysical Union (AGU) Fall Meeting, 2011.
32. Ramesh S. V. Teegavarapu, Anurag Nayak, C. Pathak. Evaluation of Long-term Trends in Extreme Precipitation Events and Links to Atlantic Multi-Decadal Oscillation (AMO) Cycles in South Florida, EWRI-ASCE World Environmental and Water Resources Congress, 2011.
33. Ramesh S. V. Teegavarapu, and C. Pathak*, Development of Optimal Z-R Relationships, Weather Radar and Hydrology, Exeter, U.K., April 18, 2011.
34. Ramesh S. V. Teegavarapu, A. Nayak and C. Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis. American Geophysical Union (AGU) Fall Meeting, San Francisco, 2010.
35. Scott Ornitz, Evangelos Kaisar, Ramesh S.  V. Teegavarapu, A Mixed-Integer Nonlinear Programming Model to Optimize the Use of Aircraft Deicing and Anti-icing Fluids, TRB Annual Meeting, 2010.
36. Noemi-Gonzalez, Ramesh S. V. Teegavarapu, Lin Huang, Evaluation of Spatial and Temporal Distribution of Precipitation Events and their Relation to Peak Flooding Events: American Geophysical Union (AGU) Fall Meeting, San Francisco, 2010.
37. Andre Ferreira and Ramesh S. V. Teegavarapu, Optimal Operation of Hydro Power Systems Under a Fuzzy Multi-Objective Decision-Making Environment: A Partial Constraint Satisfaction Approach, ASCE-EWRI 2010 Conference, Chennai, India. January 5, 2010.
38. Andre Ferreira, Ramesh S. V. Teegavarapu, C. Pathak, Evaluation of Optimal Reflectivity-Rainfall (Z-R) Relationships for Improved Precipitation Estimates, American Geophysical Union (AGU) Fall Meeting, 2009. 
39. Ramesh S. V. Teegavarapu, Sharika Senerath, C. Pathak., Evaluation of Variants of Monte-Carlo Simulation for Hydrologic Model Uncertainty Assessment, American Geophysical Union (AGU) Fall Meeting, 2009.
40. Ramesh S. V. Teegavarapu, Meskele, T., Chandra, P., Geo-Spatial Grid-based Transformations of Multi-Sensor Precipitation Estimates, American Geophysical Union (AGU) Fall Meeting, 2008.
41. Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Data using Soft Computing based Spatial Interpolation Techniques, American Geophysical Union (AGU) Fall Meeting, 2007.
42. Ramesh S.V. Teegavarapu, Spatial Interpolation of Precipitation Data Using Data Mining Approaches. Research Week Presentations, Florida Atlantic University, 2007.
43. Ramesh S.V. Teegavarapu, John Fulton and D. Pani, Universal Function Approximation and Classifications of Bacteria Concentrations, College of Engineering and Computer Science, Research Week Presentations, Florida Atlantic University, 2007.
44. Aswartha Balla, Chandramouli Viswanathan, Ramesh S. V. Teegavarapu and Lindell Ormsbee, Evaluation of Spatial Interpolation Methods for Estimation of Missing Precipitation Data, ASCE-EWRI World Environmental and Water Congress, Tampa, 2007.
45. Ramesh S. V. Teegavarapu, Seth Bradley and Lindell Ormsbee, Probabilistic Goal-Driven Optimal Water Quality Management using Genetic Algorithms, College of Engineering and Computer Science, Research Week Presentations, Florida Atlantic University, 2007.
46. Mohammad Tufail, Lindell Ormsbee, Ramesh S. V. Teegavarapu, Comparison of Artificial Neural Networks, Genetic Algorithms and Multiple Linear Regression for Water Quality Modeling, American Geophysical Union (AGU) Fall Meeting, December 6, 2006.
47. C. Viswanathan, Ramesh S. V. Teegavarapu and Lindell Ormsbee, Surface Water Assessment and Hydrologic Modeling under Karst Conditions, American Geophysical Union (AGU) Fall Meeting, December 6, 2005. EOS Transactions, 86(52) H21-1310.
48. Ramesh S. V. Teegavarapu, and Lindell Ormsbee, Assessment of Water Quality Trends in the Upper Cumberland River Basin: Deterministic and Stochastic Analysis, Pine Mountain Meeting, KY, November 15, 2005.  
49. Ramesh S. V. Teegavarapu presented two posters relating to the regional Assessment of Water Quality at the PRIDE/NOAA Grant meeting, Somerset, KY, April 13, 2005.
50. Ramesh S. V. Teegavarapu, and Lindell Ormsbee, Regional Assessment of Pathogen Pollution Using   Kriging Approach, American Geophysical Union (AGU) Fall Meeting, San Francisco, December 2004.  Session # H53A-1210
51. Tufail, M., Lindell Ormsbee and Ramesh S.V. Teegavarapu, A Comparison of Two Artificial Intelligence Techniques used for Developing Pollutant Functional Relationships, ASCE-EWRI World Environmental and Water Congress, Tampa, 2004.
52. Ramesh S.V. Teegavarapu, Anil Tangirala, and Lindell Ormsbee. Water Quality Assessment at Different Watershed Scales: Use of Data-Driven and Object-Oriented Simulation Models. ASCE-EWRI World Environmental and Water Congress, Tampa, 2004.
53. Ramesh S. V. Teegavarapu, Anil Tangirala, and Lindell Ormsbee. Assessing Hydrological Similarity of Watersheds by analyzing Geometric Patterns in Streamflow Time series, American Geophysical Union (AGU) Fall Meeting, San Francisco, 8 – 14, December 2003.  Session # H12B-0969.
54. Ramesh S.V. Teegavarapu, Stream Health Assessment using a Knowledge Assisted Decision Support System, Frontiers in Assessment Methods for the Environment (FAME), AEESP Conference, August 10 – 13, 2003, Minnesota, USA.
55. Anil K. Tangirala, Ramesh S. V. Teegavarapu and Lindell Ormsbee, Water Quality Management at Different Watershed Scales using System Dynamics Simulation, American Geophysical Union (AGU) Fall Meeting, San Francisco, 8 – 14, December 2003. Session # H51C-1064.
56. Anil K. Tangirala and Ramesh S. V. Teegavarapu, Model Identification and Selection Tool (MIST): A Knowledge-based System for Selection of Water Quality Models, 4^th IT Symposium in Civil Engineering, ASCE, Nashville, December 2003.
57. Ramesh S.V. Teegavarapu and Lindell Ormsbee; Modeling Environmental Systems using System Dynamics Approach and Object-Oriented Simulation Tools, AEESP/AAEE Conference, August 11-13, 2002, Toronto.

_________________________________________________________________

Oral Presentations (Invited, Plenary, Keynote and others)

_________________________________________________________________

1. Disinformative Data in Hydrology: Issues, Challenges and Resolutions. HYDRO 2024, 29^th International Conference on Hydraulics, Water Resources, River and Coastal Engineering, 18-20, Pune, India. Invited Keynote Lecture.  
2. Knowing the Unknown: Methods for Imputing Hydrometeorological Variables in Space and Time, Hydro-meteorological Data with Standards. Dec 11, 2024. Indian Institute of Technology (IIT), Indore, India. Invited Expert Talk.
3. Statistical Learning, Hydroinformatics and Predictive Analytics for Hydro-Environmental Systems Modeling and Management, Sept 28, 2024.  Invited Talk.  IVL Swedish Environmental Research Institute, Sweden. Online.
4. Hydrograph Analysis and Estimation. Nirma University, India, Sept 20, 2024. Invited Lecture.
5. Evaporation and Transpiration Patterns. Nirma University, India,  Sept 18, 2024. Invited Lecture.
6. Precipitation Measurement and Analysis. Nirma University, Sept 11, 2024. Invited Lecture.
7. Quality Assurance Tool, Approaches for Detection of Outliers and Anomalies in Hydrological Data. South Florida Water Management District (SFWMD),  August 21, 2024.
8. Dams and Evolving Climate: Risk Assessment and Management. University of Brescia, Italy, June 13, 2024. Invited Talk.
9. Spatial and Temporal Interpolation of Hydroclimatic Variables, University of Brescia, Italy, June 13, 2024. Invited Talk.
10. Hydroanalytics: Emerging Methods for Addressing and Handling Anomalies in Hydrometeorological Data, SMHI, Norkopping, Sweden, June 11, 2024.  Invited Talk.
11. Tree-based Approaches for Imputation of Missing Precipitation Records. International Association for Hydro-Environment Engineering and Research (IAHR) Europe 2024 International Conference, June 4, 2024. Lisbon, Portugal.
12. Data essentials, Machine Learning Approaches for Hydrological Modeling, International Association for Hydro-Environment Engineering and Research (IAHR), Lisbon, June 3, 2024. Invited Talk/Workshop
13. Machine Learning Fundamentals, Machine Learning Approaches for Hydrological Modeling, International Association for Hydro-Environment Engineering and Research (IAHR), Lisbon, June 3, 2024. Invited Talk/Workshop
14. Model  Evaluation using Error and Performance Measures, Machine Learning Approaches for Hydrological Modeling, International Association of Hydro-Environmental Research, Lisbon, June 3, 2024. Invited Talk/Workshop
15.  Association, Classification and Clustering,  Machine Learning Approaches for Hydrological Modeling, International Association for Hydro-Environment Engineering and Research (IAHR), Lisbon, June 3, 2024. Invited Talk/Workshop
16. Function Approximation, Machine Learning Approaches for Hydrological Modeling, International Association for Hydro-Environment Engineering and Research (IAHR), June 3, 2024. Invited Talk/Workshop
17. Decision, Regression, and Model Trees, Machine Learning Approaches for Hydrological Modeling, International Association for Hydro-Environment Engineering and Research (IAHR), Lisbon, June 3, 2024. Invited Talk/Workshop
18. Hydroanalytics for Hydrological Data Quality Improvement, University of Brescia, Italy, May 29, 2024. Invited Talk.
19. Climate Change and Climate Variability Influences of Hydroclimatic Variables, University of Brescia, Italy, May 28, 2024. Invited Talk.
20. Statistical Learning for Hydrologic Modeling and Prediction, University of Brescia, Italy, May 27, 2024. Invited Talk.
21. Research Initiation, Planning, and Publication of Scholarly Works, University of Brescia, Italy, May 21, 2024. Invited Talk.
22. A New Framework for Assessment of Nonstationarity. University of Brescia, Italy. March 8, 2024. Invited Talk.
23. Quantitative Precipitation Estimates and Observations: How Good are They for Robust Hydrologic Modeling and Design? Politecnico di Torino, Italy, March 7, 2024. Invited Talk.
24. Development of Quality Assurance Methods for Hydro-meteorological data, Online presentation, South Florida Water Management District (SFWMD), February 9, 2024.
25. Robust Quantitative Precipitation Estimates and Observations for Hydrologic Modeling and Design, January 19, 2024. International Conference on Future of Water Resources, IIT Roorkee, India, January 18 -20, 2024. Invited Plenary talk.
26. Machine Learning Approaches for Handling Terrestrial Data, Systems Modeling and Prediction, Indian Institute of Technology (IIT) Indore, India, January 15, 2024. Invited talk.
27. Statistical Learning in Support of Modeling and Prediction of Hydrosystems. Hydro 2023 International, National Institute of Technology, Warangal, India, December 21, 2023. Invited Plenary  Talk.
28. Development of an Interactive Tool and Performance Indices for the Assessment of Coastal Structures due to Extreme Water Levels, January 13, 2023. South Florida Water Management District (SFWMD), Online Presentation.
29. Emerging Precipitation Inputs for Hydrologic Modeling: Issues and Resolutions, 27^th International Conference on Hydraulics, Water Resources, Environmental and Coastal Engineering (HYDRO 2022 International), Chandigarh, December 2022, India. Invited  Plenary  Talk.
30. Influence of Sea and Tidal Level Fluctuations on the Operation of Coastal Hydraulic Systems. 27^th International Conference on Hydraulics, Water Resources, Environmental and Coastal Engineering (HYDRO 2022 International), Chandigarh, December 2022, India.
31. Climate Variability and Teleconnections, Statistical Analysis and Modelling of Climate Extremes (STACE), Workshop, Indian Institute of Technology (IIT), Indore, December 17, 2022, India. Invited Talk
32. Stationarity Assessment in Climate Extremes, Statistical Analysis and Modelling of Climate Extremes (STACE), Workshop, Indian Institute of Technology (IIT), Indore, December 16, 2022, India. Invited Talk
33. Quantitative Precipitation Estimates and Future of Hydrologic Design and Modeling, International Conference on Water and Environmental Engineering (iCWEE- 2022), Western Sydney University, Sydney, Australia, 27 November 2022. Keynote Lecture
34. Introduction to Geographical Information Systems (GISs), Nirma University, India, Online, November 24, 2022. Invited Lecture.
35. Managing Raster and Vector Datasets and Operations in Geographical Information Systems (GISs), Nirma University, India, Online, November 25, 2022. Invited Lecture.
36. Applications of GIS in Civil Engineering, Nirma University, India, Online , November 28, 2022. Invited Lecture.
37. Climate Change-Sensitive Water Resources Management (International Association for Hydro-Environment Engineering and Research (IAHR) Monograph), International Symposium on Water Stress and Security under Evolving Climate: Emerging Issues and Resolutions, September 12, 2022, Thessaloniki, Greece. Invited Lecture
38. Evaluation of Monthly Precipitation and Temperature Trends in the United States, September 7, 2022, International Association for Hydro-Environment Engineering and Research (IAHR) Europe 2022 Conference, Athens, Greece.
39. Hydroclimatological Implications on Dam Safety, Indian Commission on Large Dams (ICOLD), Online, July 15, 2022. International Commission on Large Dams (LCOLD) and Indian Commission of Lage Dams (INCOLD). Online. Invited Lecture.
40. Big data and predictive data analytics in Civil Engineering: Emerging Issues and Applications, Nirma University, India, July 14, 2022. Online. Invited Lecture.
41. Evaluation of the suitability of quantitative precipitation estimates for hydrologic modeling. Technical University, Berlin, Germany, Invited Lecture, June 28, 2022.
42. Performance assessment of coastal hydraulic structures due to sea-level rise and tidal variations, 39^th International Association for Hydro-Environment Engineering and Research (IAHR) World Congress, Granada, Spain, June 24, 2022. 39^th World Congress of IAHR.
43. Model Tree-based Approaches for forecasting hydroclimatic variables, 39^th International Association for Hydro-Environment Engineering and Research (IAHR) World Congress, Granada, Spain, June 23, 2022. 39^th World Congress of IAHR.
44. Flood warning systems, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 17, 2022. Invited Lecture.
45. Ensemble streamflow forecasting systems, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 17, 2022. Invited Lecture.
46. Hydrologic simulation and virtual reality applications for floods, GIAN course, Sardar Vallabhbhai National Institute of Technology, India, online. June 16, 2022. Invited Lecture.
47. Climate change and variability influences on hydrologic extremes, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 15, 2022. Invited Lecture.
48. Spatial and statistical analysis, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 14, 2022.  Invited Lecture.
49. Hydrologic design under climate change, online talk, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 14, 2022.  Invited Lecture.
50. Spatial and statistical analysis of floods, online talk, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 14, 2022. Invited Lecture.
51. Spatial analysis and data-driven approaches for flood prediction, Online talk, GIAN Course, Sardar Vallabhbhai National Institute of Technology, India, online. June 13, 2022.  2 hours. Invited Lecture.
52. Spatial hydrology and analysis of hydroclimatic data, Online talk, GIAN, Sardar Vallabhbhai National Institute of Technology, India, online. June 13, 2022.  Invited Lecture.
53. Climate Change and Stationarity Assessment, Politecnico Di Torino, Excellence course, June 10, 2022.  Invited Lecture.
54. Climate Variability Evaluation, Politecnico Di Torino, Italy,  June 9, 2022.  Invited Lecture.
55. Non-parametric Statistical Methods, Politecnico Di Torino, Italy,  June 8, 2022.  Invited Lecture.
56. Parametric Statistical Methods, Politecnico Di Torino, Italy,  June 7, 2022.  Invited Lecture.
57. Understanding Hydroclimatic Data: Climate Change and Variability, Politecnico Di Torino, Italy, June 6, 2022.  Invited Lecture.
58. Hydroclimatic Extremes and Climate Change, Online talk, Emerging Water Challenges since COVID-19, Youth Water Congress, April 6, 2022, Sponsored by IHP, UNESCO, Aristotle University of Thessaloniki, and others. Invited Lecture.
59. Big Data and Hydroanalytics for Climate Change and Variability Assessments, Overseas Expert Symposium, Sponsors: UNESCO, CRSRI Meeting, March 8, 2022. Invited Lecture.  700 attended.
60. Irrigation Engineering: Water Estimation, Expert Lecture Series in Water Resources and Irrigation Engineering, March 9 & 11, 2022. Nirma University, India. Over 140 attended.  Invited Lecture.
61. Water Need Assessments for Crops, Expert Lecture Series in Water Resources and Irrigation Engineering, March 7, 2022. Nirma University, India. Over 140 attended.  Invited Lecture.
62. River Engineering, Expert Lecture Series in Water Resources and Irrigation Engineering, March 3, 2022. Nirma University, India. Over 140 attended.  Invited Lecture.
63. Hydrograph Theory, Expert Lecture Series in Water Resources and Irrigation Engineering, Feb 28, 2022. Nirma University, India. Over 140 attended.  Invited Lecture.
64. Hydroanalytics and Big Data, Training program on “Big Data Applications in Water Resources and HydroInformatics, National Water Academy Pune, January 17, 2022. Invited Lecture. Over 270 attended.
65. Data Analytics, Soft and Statistical Computing for Hydrosystems Modeling and Management, HYDRO 2021 International Conference, India, December 24, 2021. Keynote Lecture.
66. Introduction to Geographical Information Systems (GISs), Nirma University, India, Online presentation, Sept 14, 2021. Invited Lecture.
67. Managing Raster and Vector Datasets and Operations in Geographical Information Systems (GISs), Nirma University, India, Online, Sept 15, 2021.
68. Applications of GIS in Civil Engineering, Nirma University, India, Online presentations, Sept 16, 2021. Invited Lecture.
69. Climate Change Sensitive Water Resources Management, IAHR, Online session, July 1, 2021. Invited Lecture.
70. Improvements in Quantitative Flood Forecasting: Emerging Sources of Hydrometeorological Observations and Modeling Approaches, Sardar Vallabhbhai National Institute of Technology, India, March 5, 2021. Invited Lecture.
71. Towards Robust Hydrologic Modeling and Design: Utility and Validity of Quantitative Precipitation Estimates. Indian Institute of Science (IISc), India, January 28, 2021. Invited Lecture.
72. Conducting and Excelling in Research: Pathways for Graduate Student Success, January 19 and 20, 2021. Online. University of Moratuwa, Sri Lanka. Invited Lecture.
73. Adaptive Hydrologic Design and Water Resources Management under Evolving Climate, November 27, 2020.  UNESCO Category II Center on Integrated and Multidisciplinary Water Resources Management, Webinar- Online. “From the Myths of Hercules to the Reality of Climate Change”. Invited Lecture.
74. Publishing Research: From Thesis to Peer-Reviewed Publications, November 16, 2020. Indian Institute of Technology (IIT), Madras, India. Invited Lecture.
75. Conducting and Excelling in Research: Pathways for Graduate Student Success, November 9, 2020. Indian Institute of Technology (IIT), Madras, India. Invited Lecture.
76. Development of Methods and Analysis of Extreme Water Levels at Coastal Structures and Identification of Storm Hydrographs, South Florida Water Management District (SFWMD), August 28, 2020. Online.
77. Extreme Precipitation Analysis: Implications for Urban Hydrology under Evolving Climate. Expert lecture in the TEQIP-III sponsored STTP on “Design of Water-Related Infrastructure for Smart City” during July 27-31, 2020, Sardar Vallabhbhai National Institute of Technology, India. Online with at least 40 participants. Online.  Invited Lecture.
78. Research and Publications.  Presented online to graduate students at Florida Atlantic University and Universidad De La Costa, Colombia, October 30, 2020.
79. Conducting and Excelling in Research: Pathways for Graduate Student Success, Publishing Research: From Thesis to Peer-Reviewed Publications, September 3, 2020. Online. Sardar Vallabhbhai National Institute of Technology, India.
80. Publishing Research: From Thesis to Peer-Reviewed Publications. Online. Politecnico Di Torino, Italy, September 25, 2020.
81. Graduate Studies and Research in CEGE, LACCEI 2020, 18^th LACCEI International Multi-Conference for Engineering, Education, and Technology, online. July 30, 2020.
82. Graduate Student Orientation, Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University (FAU), USA. Online. August 24, 2020.
83. Publishing Research: From Thesis to Peer-Reviewed Publications, July 6, 2020. Online. Florida Atlantic University (FAU), USA
84. Conducting and Excelling in Research: Pathways for Graduate Student Success, online. June 19, 2020. Florida Atlantic University (FAU), USA
85. Terrestrial Transformations under Changing Climate: Implications for Bio-Hydrosystems, Fluminense Federal University (UFF), Brazil, November 5, 2019. Invited Talk, one of the keynote speakers.
86. Methods for Imputation of Missing Precipitation and Temperature Datasets, United States Army Corps of Engineers (USACE), Online. August 23, 2019.
87. Quality Assessment of Point and Gridded Precipitation Data, ESEWG Meeting, online. August 20, 2019.
88. Variations in regional hydroclimatology in a changing climate, Pontifical Catholic University of Rio de Janeiro, Instituto Militar de Engenharia, Brazil, June 15, 2019.  Invited Lecture.
89. Climate Change and Variability Influences on Hydroclimatic Variables: Management of Hydrosystems. Universidade Federal do Rio de Janeiro, Brazil, June 13, 2019. Janeiro, Universidade Federal Fluminense, June 14, 2019. Invited Lecture.
90. Invited Lectures:
    • Graduate Studies and Research in Civil, Environmental and Geomatics Engineering,
      • Universidad Del Norte, June 5, 2019.
      • Universidad De La Costa, Colombia, June 7, 2019.
      • Universidade Federal do Rio de Janeiro, June 13, 2019.
      • Pontifical Catholic University of Rio de Janeiro, June 14, 2019.
      • Universidade Federal Fluminense, Instituto Militar de Engenharia, Brazil. June 15, 2019.
      • Climate Change and Variability Impacts on Hydrosystems Design and Management, Universidad Del Norte, Barranquilla, Colombia, June 6, 2019. Invited Lecture.
91. A Framework for Assessment of Radar-based Precipitation Data Prepared and Presented to United States Army Corporation of Engineers (USACE). (Webinar). August 27, 2018.
92. Changes in Streamflow Extremes and Characteristics: Exploring Links to Climate Change and Variability, 13^th International Conference on Hydroinformatics, HIC2018, July 3, 2018. Palermo, Italy.
93. Sustainable Water and Environmental Systems Modeling and Management: Research at HRL, Everglades Foundation, March 6, 2018.
94. Rainfall Analysis and INterpolation (RAIN): For Understanding Extremes, Climate Variability Interactions and Patterns, Indian Institute of Science, Bangalore, India, August 24, 2017. Invited Lecture.
95. Climate Variability Linked Changes in Characteristics and Extremes of Hydroclimatological Variables: Implications for Water Resources Management, University of Peradeniya, Sri Lanka, August 17, 2017. Invited Lecture
96. Climate Change and Variability Driven Changes in Precipitation Characteristics and Extremes: Implications for Hydrologic Design and Water Resources Management, University of Moratuwa, Sri Lanka, August 18, 2017. Invited Lecture
97. Sustainable Hydrosystems Design and Management under Changing Climate, ASCE-EWRI Palm Beach County Chapter Meeting, April 25, 2017. Invited Lecture
98. Changes in Hydroclimatic Variable Extremes and Characteristics: Possible Links to Climate Variability? Politecnico Di Torino, Italy July 18, 2016.
99. Outlier and Anomaly Identification Methods for Hydroclimatic Variables, June 23, 2016, University of Brescia, Italy. (Ciclo di seminari nell’ambito del programma didattico del Corso di Dottorato in Ingegneria Civile e Ambientale dell’Università di Brescia, 20 – 23 giugno 2016). Invited Lecture
100. Towards Developing Serially Continuous Precipitation Records: Methods for Filling Missing Data, June 22, 2016, University of Brescia, Italy. (Ciclo di seminari nell’ambito del programma didattico del Corso di Dottorato in Ingegneria Civile e Ambientale dell’Università di Brescia, 20 – 23 giugno 2016). Invited Lecture
101. Sustainable Hydrologic Design under Future Uncertain and Changing Climate, June 21, 2016. University of Brescia, Italy. (Ciclo di seminari nell’ambito del programma didattico del Corso di Dottorato in Ingegneria Civile e Ambientale dell’Università di Brescia, 20 – 23 giugno 2016). Invited Lecture
102. Trends and Variations in Characteristics and Extremes Hydroclimatic Variables: Assessing Links to Climate Variability, June 20, 2016, University of Brescia, Italy. (Ciclo di seminari nell’ambito del programma didattico del Corso di Dottorato in Ingegneria Civile e Ambientale dell’Università di Brescia, 20 – 23 giugno 2016). Invited Lecture
103. Evaluating between Sea Level Variations and Climate Variability for the Continental United States, EWRI 2016 International Conference, West Palm Beach, Florida. May 23, 2016.
104. Changes in Spatial and Temporal Characteristics and Extremes of Hydroclimatic Variables: Deciphering Links to Natural Variability., Distinguished Speaker Series, University of Western Ontario (UWO), Canada, May 12, 2016. Invited Lecture.
105. Methodologies for Identification of Anomalies and Outliers in Precipitation Data, South Florida Water Management District (SFWMD), March 30, 2016.
106. Towards Serially Complete Error-Free Hydrometeorological Data: Methods for Imputation of Missing Values, Assessment of Bias and Detection of Outliers and Anomalies, World Meteorological Organization (WMO, Geneva, Switzerland. February 25, 2016. Invited Talk.
107. Linking Variations in Hydroclimatic Extremes and Characteristics to Changing Climate: Observations and Inferences from Two Regions, Invited talk at the half-day workshop at Port Island Campus, Kobe University, Japan. January 19, 2016.Invited Talk.
108. Quantitative Precipitation Estimates and Forecasts for Flood Control and Stormwater Management: Issues and Perspectives, Sun Yat-Sen University, Guangzhou, China, January 10, 2016. Invited Talk.
109. Evaluation of Trends and Variability in Sea Level, Temperature and Precipitation of Japan: Links to Climate Change and Variability, Kobe University, Research Center for Urban Safety and Security (RCUSS), Japan, January 6, 2015. Invited Talk.
110. Precipitation Extremes Under Changing Climate: Issues and Resolutions for Water Resources Management and Adaptation, December 8, 2015, Disaster Prevention Research Institute (DPRI), Kyoto University, Japan. Invited Lecture
111. Understanding Natural Disasters: Focus on Tropical Cyclones. Kyoto University, Japan. December 7, 2015. Invited Lecture
112. Making Sense of Data: Methods for Analysis, Interpretation and Visualization of Data, Kobe University, Research Center for Urban Safety and Security (RCUSS), Japan, December 3, 2015.
113. Climate Variability and Changes in Streamflow and Precipitation Extremes, July 2, 2015. International Association for Hydro-Environment Engineering and Research (IAHR) 2015 Conference, Netherlands.
114. Statistical Downscaling of Precipitation in Florida: Experiments and Observations, June 22, 2015. Everglades Workshop, Florida Atlantic University (FAU), USA
115. Research at HRL: Collaborative Opportunities for FAU and SFWMD, South Florida Water Management District (SFWMD), June 2, 2015
116. Trends in Streamflow Extremes and Climate Variability, EWRI-ASCE World Environmental and Water Resources Congress,  Austin, Texas, May 21, 2015.
117. Identifying Outliers and Anomalies in Hydro-meteorological Data, St. John’s Water Management District (SJFWMD), April 16, 2015.
118. A Framework for Assessment of Radar-based Precipitation Data, St. John’s Water Management District (SJFWMD), April 16, 2015.
119. Methods for Identifying Anomalies in Hydro-meteorological Data, Southwest Florida Water Management District (SWFWMD), April 9. 2015.
120. A Comprehensive Framework for Assessment of Radar Data, Southwest Florida Water Management District (SWFWMD), April 9, 2015.
121. Precipitation Extremes and Characteristics in Florida: Influences of Climate Variability and Change, March 10, 2015, Florida Atlantic University (FAU), USA,  Florida Water Resources Workshop.
122. Hydrologic Design under Changing Regional Precipitation Extremes and Characteristics: Influences of Climate Variability and Change, Kobe University Brussels EU symposium, October 14, 2014.
123. Development and Evaluation of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydro-Meteorological Data (Phase II), South Florida Water Management District (SFWMD),  September 25, 2014.
124. Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, EWRI-ASCE World Environmental and Water Resources Congress, ASCE, 2014. June 2, 2014.
125. Precipitation Regime Changes under Decadal and Multi-Decadal Oscillations, EWRI-ASCE World Environmental and Water Resources Congress, ASCE, 2014. June 2, 2014.
126. Development and Evaluation of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydro-Meteorological Data (Phase 1; Stage), South Florida Water Management District (SFWMD), November 6, 2013.
127. Influences of Climate Variability and Change on Precipitation Extremes: Implications for Future Hydrologic Design, September 10, 2013. 35th International Association for Hydro-Environment Engineering and Research (IAHR)-APD(Asia Pacific Division) Congress, Chengdu, China.  IAHR Leadership Team Member on Climate Change. Invited Talk.
128. South Florida Climate Change Vulnerability Assessment and Adaptation Pilot Project, Broward MPO, June 2013.
129. Spatial and temporal partitioning-based Interpolation methods for precipitation estimation, ASCE-EWRI, World Environmental and Water Congress, 22 May 2013, Cincinnati, USA.
130. Site and Regional Statistics-preserving Interpolation for Missing Precipitation Data Estimation, ASCE-EWRI, World Environmental and Water Congress, 22 May 2013, Cincinnati, USA.
131. A Look at Transformations of Terrestrial Environment under Climate Variability and Change, Valencia Shores, Florida, March 17, 2013.
132. Bias Assessment and Evaluation of NEXRAD-based Rainfall Estimates in South Florida Water Management District, South Florida Water Management District (SFWMD), December 20, 2012.
133. Bias Correction Methods for Radar Data, South Florida Water Management District (SFWMD), Sept 7, 2012.
134. Spatial Interpolation for Missing Precipitation Data: Use of Proximity Metrics, Nearest Neighbor Classifiers and Clusters, May 21, 2012. ASCE-EWRI World Environmental and Water Congress, Albuquerque, New Mexico.
135. Climate Variability and Climate Change Studies: Issues & Observations. Climate Change panel, ASCE-EWRI World Environmental and Water Congress, May 2012. Albuquerque, New Mexico. Invited Talk.
136. Experiments with Statistical Downscaling of Precipitation for South Florida Region: Issues and Observations, Hydrology of the Everglades Workshop, March 29, 2012.
137. Spatial and Temporal Variability of Precipitation Extremes in Florida: Teleconnections and Implications for Hydrologic Design, Hydrology of the Everglades Workshop, March 30, 2012.
138. Extreme Precipitation and Climate Change, IFI, Book Series Meeting, UNESCO, Paris, October 3, 2011.
139. Multiple Imputation Method for Estimation of Missing Precipitation Records, ASCE-EWRI World Environmental and Water Congress, May 22, 2011, Palm Springs, California.
140. Optimal Z-R (Reflectivity-Rainfall Rate) Relationships: Issues, Concepts and Applications, EWRI-ASCE-EWRI World Environmental and Water Congress, May 24, 2011, Palm Springs, California.
141. Joint Probability Analysis of Extreme Precipitation and Peak Discharge Events, ASCE-EWRI World Environmental and Water Congress, May 23, 2011, Palm Springs, California.
142. Evaluation of Classroom Assessment Strategies for Learning, Faculty Learning Communities (FLC), Florida Atlantic University (FAU), USA,  April 29, 2011.
143. Assessment Strategies for Evaluation of Learning, Faculty Learning Communities (FLC), Florida Atlantic University (FAU), USA, December 3, 2010.
144. Decision Support Tool for Leachate Management, Technical Advisory Group (TAG) Meeting, Florida Atlantic University (FAU), June 25, 2010.
145. Utility of Optimal Reflectivity-Rain Rate (Z-R) Relationships for Improved Precipitation Estimates, EWRI-ASCE World Environmental and Water Congress, 2010.
146. Sampling Schemes for Uncertainty Assessment of a Hydrologic Simulation Model, EWRI-ASCE World Environmental and Water Congress, 2010.
147. Infilling Missing Precipitation Data using NEXRAD Data: Use of Optimal Spatial Interpolation and Data-Driven Methods, EWRI-ASCE World Environmental and Water Congress, 2010.
148. Extreme Precipitation and Climate Change, IFI, Book Series Meeting, UNESCO, Paris, April 29, 2010. Invited Talk.
149. Sustainable, Climate-Change Sensitive and Adaptive Hydrosystems Management and Hydrologic Design: Issues and Approaches, Seoul National University, International Association for Hydro-Environment Engineering and Research (IAHR)-Water Resources Management Team Meeting, April 23, 2010. Invited Talk.
150. Spatial Precipitation Analysis for Continuous Estimation (SPACE): Issues, Approaches and Applications, Seoul National University, Seoul, BK21 Seminar Series, April 22, 2010. Invited Talk.
151. Uncertainties in Z-R Relationships for Radar-based Precipitation Estimates, Southwest Florida Water Management District (SWFWMD), Tampa, March 11, 2010
152. Improvement of NEXRAD Data using new methods of Bias Corrections, Southwest Florida Water Management District (SWFWMD), Tampa, March 11, 2010.
153. Technology Enhanced Learning and Instruction (TELI): Experiments with Online Data Analysis and Optimization Tools. Faculty Learning Communities (FLCs) meeting, Florida Atlantic University (FAU), USA, Jan 29, 2010.
154. Interactive Decision Support Tool for Leachate Management – Decision Support Tool Development, Technical Advisory Group Meeting, Florida Atlantic University (FAU), USA, January 2010.
155. Spatial Precipitation Analysis for Continuous Estimation (SPACE): Patterns, Organization and Processes (POP), ASEC-EWRI 2010, India Conference, Chennai, India, January 5, 2010.
156. Interactive Decision Support Tool for Leachate Management, Technical Advisory Group (TAG) Meeting, FAU, April 2009.
157. Career Planning for Civil Engineering Students: Graduate Studies and Beyond, July 9, 2009. ASCE Professional Meeting, FAU.
158. Evaluation of Improvised Spatial Interpolation Methods for Infilling Missing Precipitation Records, EWRI-ASCE World Environmental and Water Congress, Kansas City, May 2009
159. Evaluation of Spatial Weighting Methods for Transformation of Multi-Sensor Precipitation Estimates,  EWRI-ASCE World Environmental and Water Congress, Kansas City, May 2009.
160. Understanding Uncertainties in Water Budget for Large Constructed Wetlands, EWRI-ASCE World Environmental and Water Congress, Kansas City, May 2009.
161. Innovative Spatial Interpolation Methods for Estimation of Missing Precipitation Records: Concepts and Applications, Hydro-Predict, International Conference, 2008.  Prague. Session Keynote talk
162. Water Resources Management and Hydrologic Design under Uncertain Climate Change Scenarios, 30 May 2008, Joint Assembly, American Geophysical Union (AGU), Ft. Lauderdale.
163. Optimal Cluster-based Methods for Estimation of Missing Precipitation Records, 27 May 2008, Joint Assembly, Joint Assembly, American Geophysical Union (AGU), Ft. Lauderdale.
164. Evaluation of Function Forms of Rain Gage – Radar (NEXRAD) Relationships, 15 May 2008, EWRI-ASCE World Environmental and Water Congress, Hawaii.
165. Infilling of Rain Gage Records using Radar (NEXRAD) data: Influence of Spatial and Temporal Variability of Rainfall Processes, May 14, 2008, EWRI-ASCE World Environmental and Water Congress, Hawaii.
166. Optimal Spatial Weighting Methods for Estimation of Missing Precipitation Records, 13 May 2008, EWRI-ASCE World Environmental and Water Congress, Hawaii.
167. Assessment of Catastrophic Flooding Events in South Florida using Animation, April 15, 2008, Florida Atlantic University (FAU), USA. Invited Talk
168. Teaching Methods in Engineering, Distinguished Teacher of the Year Award Committee Presentation, FAU, March 15, 2008.
169. Characterizing Rain Gage-Radar (NEXRAD) Relationships using Inductive Modeling, American Geophysical Union (AGU) Fall Meeting, San Francisco, December 11, 2007.
170. Embarking on Graduate Studies: Career Building and Planning for the Future: November 13, 2007, Florida Atlantic University (FAU), USA.
171. Opportunities for Collaboration with CHESS (Center for Hydrologic and Environmental Systems Studies) at FAU, South Florida Water Management District (SFWMD), SFWMD, 2007.
172. Pilot Study on Catastrophic Flood Scenario Animation for A Region in South Florida, South Florida Water Management District (SFWMD), Florida, July 2, 2007.
173. Water Information Dissemination, 9th Water Information Summit, West Palm Beach, Florida, June 7, 2007.
174. A Spatio-Temporal Analysis Framework for Assessment of Water Quality Data, EWRI-ASCE  World Environmental and Water Resources Congress, ASCE, May 18, 2007. Tampa, Florida.
175. Optimal Operation of Hydrosystems under Uncertain Decision-Making Environments, EWRI-ASCE  World Environmental and Water Resources Congress, ASCE, May 17, 2007. Tampa, Florida.
176. Climate Change Sensitive Water and Environmental Systems Management, Florida Atlantic University(FAU), April 2007. Invited Talk
177. Assessment of Water Quality Trends in the Upper Cumberland River Basin: Deterministic and Stochastic Analysis, KWRRI Annual Symposium, March 2, 2006.
178. Modeling Hydrologic Systems: Use of Soft Computing Approaches, University of Memphis.  April 2006. Invited Talk
179. Modeling and Management of Hydrologic Systems using Soft Computing Approaches, Florida Atlantic University (FAU), March 14, 2006. Invited Talk
180. A New Integrated Neural Network Architecture for Streamflow Forecasting, American Geophysical Union (AGU) Fall Meeting, December 9, 2005.
181. Hurricane Katrina: Natural Disaster and Engineering Nightmare – A Hydrological Perspective, Department of Civil Engineering, University of Kentucky, September 14, 2005.
182. Sustainable and Climate Sensitive Hydrologic Design and Management of Hydrosystems, ASCE-EWRI, World Water and Environmental Resources Congress: Impacts of Global Climate Change, Alaska, ASCE conference, May 16, 2005.
183. Modeling and Managing Hydro and Environmental Systems using Soft Computing and System Dynamics Approaches,  CAE, University of Wyoming, May 2004. Invited Talk
184. Strategies for Planning Professional, Research and Academic Careers – Survival Skills for Grads, Docs and Post-docs, November 20, 2003, Graduate Student Forum, School of Engineering, University of Kentucky.
185. Soft Computing, System Dynamics, Data-driven Approaches for Modeling Hydro and Environmental Systems, University of Guelph, Canada, June 5, 2003; May 2004.
186. Emerging Paradigms for Hydrosystems Modeling and Management, College of Engineering and Computer Science, California State University (CSU), April 1, 2003. Invited Talk
187. Dynamic Modeling of Hydrosystems, Special Water Resources Seminar/Workshop, Disaster Prevention Research Institute (DPRI), Water Resources Center, Kyoto University, Japan, November 13–15, 2002.  Invited Talk
188. Characterizing Pollutant Loadings in Streams using System Dynamics Simulation, AWRA Annual Conference, Philadelphia, November 7, 2002.
189. Improving Neural Network Performance for Streamflow Prediction: Use of Geometrical Patterns in Time Series, AWRA Annual Conference, Philadelphia, November 6, 2002.
190. System Dynamics, GIS and Inductive Modeling: A Tool Kit for Water Quality Management, AWRA Annual Conference, Philadelphia, November 5, 2002.
191. Modeling and Management of Hydro and Environmental Systems: Detail, Spatial and Dynamic Complexities, Department of Civil Engineering, University of North Dakota (UND), 27 Sept. 2002.
192. Da Vinci’s Dream: Insights into Life and Experiments of an Extraordinary Engineer, special lecture on Leonardo da Vinci’s contributions to Water sciences,  University of Kentucky, 18 Sept. 2002.
193. Soft Computing and System Dynamics Simulation Approaches for Management and Modeling of Hydrosystems, Department of Civil Engineering, City University of New York, 29 May 2002. Invited Talk
194. System Dynamics: An Innovative Approach for Learner-Centered Education, Innovations in Teaching & Learning: Meeting 21st Century Challenges, May 20, 2002, Louisville, CPE and Kentucky Virtual University.
195. Object-Oriented Simulation Environment for Water Quality Modeling and Policy Analysis, Short Course on TMDLs, FMSM Inc., Lexington, February 11, 2002.
196. Better Assessment Science Integrating Point and Non-Point Sources (BASINS) – Water Quality Modeling and Assessment Environment, Short Course on TMDLs, FMSM Inc., Lexington, February 12, 2002.
197. Hydrological Simulation Program Fortran (HSPF) and Water Quality Modeling, Short Course on TMDLs, FMSM Inc., Lexington, February 12, 2002.
198. Towards Sustainable, Risk-informed and Climate Sensitive Management of Hydrosystems: Role of Soft-Computing Approaches, International Research Institute for Climate Prediction, Lamont–Doherty Earth Observatory, Columbia University, 23 August 2001.
199. Soft-Computing Approaches for Hydrosystems Management, Department of Land, Air and Water Resources, University of California, Davis, May 17, 2001.
200. System Dynamics: A Concept for Understanding and Promoting Learning Process, University Teaching Services and Center for Higher Education Research and Development, University of Manitoba, Winnipeg, Canada, March 13, 2001.
201. Real-time Operation of Reservoir Systems: System Representation, Information Uncertainty and Computational Intractability, Natural Resources Institute, University of Manitoba, Winnipeg, Canada, September 5, 2000.
202. Optimal Operation of Water Resource Systems: Tradeoffs between Modeling and Practical Solutions, International Symposium on Integrated Water Resources Management, University of California, Davis, April 12th, 2000.
203. Short-term Operation of Coupled Hydropower Systems, Facility for Intelligent Decision Support (FIDS), June 2000.
204. System Dynamics Simulation Model for Operation of Multiple Reservoirs, X World Water Congress, Melbourne, Australia, March 16th, 2000.
205. Analytic Hierarchy Process (AHP), Special lecture, Resource and Environment Management Tools (56.725), Natural Resources Institute, part of CHET requirement, University of Manitoba, January 17th, 2000.
206. System Dynamics Simulation in Teaching, Teaching Techniques Workshop, University Teaching Services, University of Manitoba, Winnipeg, Canada, May 15th, 1999. 
207. Short-term Hydraulic Optimization – II: Methodologies for Hydropower Optimization, Research and Development Committee, Systems Operating Division, Manitoba Hydro, Winnipeg, Canada, Feb 6, 1999.
208. Input Structures for a Neural Network Model used for Streamflow Forecasting, Hydrology in Changing Environment, International conference, Exeter, United Kingdom, July 9, 1998.
209. Real-time Operation of Hydropower Systems, Water Resources Research Seminars, Department of Civil Engineering, University of Manitoba, Canada, March 25, 1997.
210. Short-term Hydraulic Optimization, Research and Development Committee, Systems Operating Division, Manitoba Hydro, Winnipeg, Canada, June 28, 1996.
211. FREAS: Flood Run-off Estimation Advisory System, Department of Civil Engineering, University of Manitoba, Winnipeg, Canada, April 11, 1996
212. Real-time Reservoir Operation for Irrigation, Department of Civil Engineering, Indian Institute of Science, Bangalore, India, April 5, 1995.
213. A Knowledge-based System for Estimation of Manning’s Roughness Coefficient, Ninth Congress of APD-International Association for Hydraulic Research, Singapore, August 26, 1994.   

_______________________________________________________________

Technical Reports

_______________________________________________________________

1. Ramesh S. V. Teegavarapu and Vivek Sonar, Quality Assurance (QA) of Hydrometeorological Data: QA Tool Application. South Florida Water Management District (SFWMD), Final Report, October 2024.
2. Ramesh S. V. Teegavarapu, Quality Assurance of Hydrometeorological Data: Basic Design,  South Florida Water Management District (SFWMD), January 2024.
3. Ramesh S. V. Teegavarapu, Rahul Kumar, Vilma C. Melendez, Development of an Interactive Tool, and Performance Indices for the Assessment of Coastal Structures due to Extreme Water Levels, South Florida Water Management District (SFWMD), October 2022.
4. Ramesh S. V. Teegavarapu, Methods for Infilling and Temporal Disaggregation of Gridded Temperature and Precipitation Data, United States Army Corps of Engineers (USACE), February 2022.
5. Ramesh S. V. Teegavarapu and Priyank Sharma, Methodology for Selecting Storm Surge Hydrographs, South Florida Water Management District (SFWMD), October 2020.
6. Ramesh S. V. Teegavarapu and Priyank Sharma, Methodology for Selecting Tailwater Stage Hydrographs, South Florida Water Management District (SFWMD),  October 2020.
7. Ramesh S. V. Teegavarapu and Priyank Sharma, Development of Methods and Analysis of Extreme Water Levels at Coastal Structures and Identification of Storm Hydrographs,  South Florida Water Management District (SFWMD),  June 2020.
8. Ramesh S. V. Teegavarapu, Review of Missing Precipitation Data Estimation Methods, United States Army Corps of Engineers (USACE), October 2019, 60 pages.
9. Ramesh S. V. Teegavarapu, Design Ideas for a Prototype System Development for Evaluation of Radar Precipitation Estimates, United States Army Corps of Engineers (USACE), September 2018. 50 Pages.
10. Ramesh S. V. Teegavarapu, Data Quality Improvement for NEXRAD and Stage Data: Phase II – HDET, United States Geological Survey (USGS), WRRC, Florida, March 2018. 29 pages.
11. Ramesh S. V. Teegavarapu,Evaluation of Bias in Radar-based Precipitation Estimates: United States Army Corps of Engineers (USACE), November 2017. 61 pages.
12. Ramesh S. V. Teegavarapu, Quality Assurance Tool (QA Tool) Design, South Florida Water Management District (SFWMD), , November 2016, 32 pages.
13. Ramesh S. V. Teegavarapu, Data Quality Improvement for NEXRAD and Stage Data: Phase II – HDET, South Florida Water Management District (SFWMD), , October 2016. 29 pages.
14. Ramesh S. V. Teegavarapu, Methodologies for Identification of Outliers and Anomalies in Precipitation Data, South Florida Water Management District (SFWMD), May 2016.
15. Ramesh S. V. Teegavarapu, A Review of Use of Ensemble-based Probabilistic Forecasting Methods in Reservoir Water Management, July 2016. Submitted to West Consultants and United States Army Corps of Engineers (USACE). 55 pages.
16. Ramesh S. V. Teegavarapu, Satoru Oishi, Evaluation of Trends and Variability in Sea Level, Temperature, and Precipitation of Japan: Links to Climate Variability and Change, Technical Report, 20 pages. Research Center for Urban Safety and Security (RCUSS), April 2016.
17. Ramesh S. V. Teegavarapu, Evaluation of Trends and Variability in Sea Level, Temperature and Precipitation of Japan: Links to Climate Variability and Change, Report.  Research Center for Urban Safety and Security (RCUSS), 108 pages. January 2016.
18. Ramesh S. V. Teegavarapu, Data Quality Improvement for NEXRAD and Stage Data, South Florida Water Management District (SFWMD), Final report. SFWMD, October 2015.
19. Ramesh S. V. Teegavarapu, Development and Evaluation of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydro-Meteorological Data (Phase II: Stage), United States Geological Survey (USGS) 104B grant report. 2015.
20. Ramesh S. V. Teegavarapu, Enhancements to Bias Analysis Tool and Application of BAT for Radar Data Assessment, Interim Report, South Florida Water Management District (SFWMD), February 2015.
21. Ramesh S. V. Teegavarapu, Development and Evaluation of Indices for Bias Assessment for Radar-based Rainfall Estimates, WRRC 104B Final Report, United States Geological Survey (USGS). May 2014.
22. Ramesh S. V. Teegavarapu Development and Assessment of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydrometeorological Data (Phase II: Stage),  South Florida Water Management District (SFWMD), September 2014.
23. Ramesh S. V. Teegavarapu Aneesh Goly, Development and Assessment of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydrometeorological Data (Phase I: Stage), South Florida Water Management District (SFWMD), March 2013.
24. Ramesh S. V. Teegavarapu Bias Assessment Tool – Methodology and Help Manual, South Florida Water Management District (SFWMD), 2012.
25. Ramesh S. V. Teegavarapu Aneesh Goly. Assessment and Evaluation of NEXRAD-based Rainfall Estimates in South Florida Water Management District, South Florida Water Management District (SFWMD), 2012.
26. Ramesh S. V. Teegavarapu, Assessment of Spatial and Temporal Variation of Extreme Precipitation Events in Coastal Basins of SFWMD Region, South Florida Water Management District (SFWMD), 2011.
27. Ramesh S. V. Teegavarapu Spatial and Temporal Distribution of Extreme Precipitation Events and their relation to Peak Flooding, South Florida Water Management District (SFWMD), 2010.
28. Ramesh S. V. Teegavarapu, Daniel Meeroff, Leachate Management Decision Support Tool, Technical Report and User Manual, Hinkley Center, 2010.
29. Ramesh S. V. Teegavarapu Modeling Groundwater Interactions in Hydrologic Analysis for Floodplain Mapping, Report, March, South Florida Water Management District (SFWMD), September 2009, 63 Pages: Interim and Final Reports.
30. Ramesh S. V. Teegavarapu, Comparing NEXRAD Rainfall and Rain Gauge Data in South Florida Water Management District, Report, September 2008: Interim & Final Report
31. Ramesh S. V. Teegavarapu, NEXRAD Data Improvement Project Report, Report submitted to South Florida Water Management District (SFWMD), August 2008, 110 pages: Interim & Final Reports
32. Ramesh S. V. Teegavarapu, Analysis of Solar Insolation data from Satellite and Ground Sensor Network, South Florida Water Management District (SFWMD), August 2008.
33. Ramesh S. V. Teegavarapu, Comparing NEXRAD Rainfall and Rain Gauge Data in South Florida Water Management District, Report, United States Geological Survey (USGS),  104B Grant, WRRC, 2008.
34. Fredrick Bloetscher, Ramesh S. V. Teegavarapu Water Use Profile Study, Preliminary Report, to be submitted to Broward County Bureau of Water and Wastewater services, 2008.
35. Ramesh S. V. Teegavarapu, Daniel Meeroff, Synoptic Water Quality Monitoring Data Analysis, East Beach Water Control District, South Florida Water Management District (SFWMD), 2008, Final Report.
36. Ramesh S. V. Teegavarapu, Assessment of In-filling Methods for Estimation of Daily Precipitation Records, submitted to Southwest Florida Water Management District (SWFWMD), November 2007.
37. Ramesh S. V. Teegavarapu, P.D. Scarlatos and Yossi Kaneer, A pilot study on catastrophic flood scenario animation for a region in South Florida, report submitted to South Florida Water Management District (SFWMD), June 2007. 37 pages.
38. Ramesh S. V. Teegavarapu, Lindell Ormsbee,  South Elkhorn TMDL Development, report, Kentucky Division of Water (KYDOW), 2006.
39. Ramesh S. V. Teegavarapu and Lindell E. Ormsbee, Upper Cumberland River Basin Project, Assessment of Water Quality Trends in the Cumberland River Basin: Deterministic and Stochastic Analysis, EPA (319[h]) project, Final report completed, submitted. 73 pages (data analysis – 250 pages – not submitted).  Environmental Protection Agency (EPA) and Division of Water, Kentucky, 2006.
    1. Review Comments: “Excellent report. Easy to read and gain an understanding of complex data” – Comments from Kentucky Division of Water (KYDOW).
40. Ramesh S. V. Teegavarapu, Exploratory Study to Investigate the Use of Artificial Neural Networks for Prediction of Indicator Bacteria in Streams. The project report was submitted to the United States Geological Survey (USGS), Water Resources Division, PA, in 2004. 48 pages.
41. Ramesh S. V. Teegavarapu PRIDE: Water Quality Assessment Project: Data-driven models, Watershed Modeling using GIS, System Dynamics simulation, Project Assessments, Simulation Models and Regional Assessment of Water Quality Conditions. 2001, 2002, 2003, 2004, 2005. Personal Responsibility in Desirable Environment (PRIDE)-NOAA Project.
42. Ramesh S. V. Teegavarapu,  Lindell Ormsbee. Watershed-Watch Sampling, QAQC Report, Kentucky Watershed Watch. 2004.
43. Ramesh S. V. Teegavarapu,  Lindell Ormsbee. Assessment of Dynamic Simulation Environments for Modeling River Basin Systems report to Kentucky River Authority, 2002.
44. Ramesh S. V. Teegavarapu, Hydrological Simulation Program Fortran (HSPF) and Water Quality Modeling notes, TMDL short course, Presented at FMSM, 2002
45. Ramesh S. V. Teegavarapu, Object-Oriented Simulation Environment for Water Quality Modeling and Policy Analysis, notes, TMDL short Course, Presented at FMSM, 2002
46. Ramesh S. V. Teegavarapu, Use of System Dynamics Simulation in Policy Analysis: Potential Applications in Irrigation and Ground Water Management. Internal report, Department of Land, Air and Water Resources, University of California, Davis, 2001.
47. Ramesh S. V. Teegavarapu, Teaching Practicum, University Teaching Services (UTS) and Center for Higher Education Research and Development (CHERD), University of Manitoba, Winnipeg, Canada, 2001.
48. Ramesh S. V. Teegavarapu, S. P. Simonovic, Short-term Hydraulic Optimization, Technical Report to Manitoba Hydro, Research and Development, Winnipeg, Canada
49. Ramesh S. V. Teegavarapu, Real-Time Operation of Reservoir Systems: Information Uncertainty, System Representation and Computational Intractability, Ph.D. dissertation, University of Manitoba, Winnipeg, Canada, September 2000. pp 245.   ISBN # 0-612-53050-7.
50. S. P. Simonovic, Ramesh S. V. Teegavarapu Methodology for Short-term Hydropower Optimization, Final Report (Industry-Oriented Grant) Report. Natural Sciences and Engineering Research Council (NSERC), Canada. 2000.
51. P. P. Mujumdar, S. Vedula and Ramesh S. V. Teegavarapu, Real-time Optimal Operation of Malaprabha Irrigation Reservoir, 4(17), April 1996, Department of Science and Technology, India, pp 48.     
52. Ramesh S. V. Teegavarapu, Flood Runoff Estimation Advisory System, project report, 1996, Department of Civil Engineering, University of Manitoba, Canada.
53. Ramesh S. V. Teegavarapu, Real-time Reservoir Operation for Irrigation, M. Sc. Thesis, Refereed and cataloged publication, Indian Institute of Science, Bangalore, India,1995, India, pp 86.
54. Ramesh S. V. Teegavarapu, Design of Openings in a Gravity Dam, Bachelor of Engineering (B.E.) thesis. 1992. MSVR College, Osmania University, India.   

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White Papers

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1. Summary of Recommendations for Policymakers on Adaption to Climate Change in Water Engineering, IAHR (International Association for Hydro-Environment Engineering and Research) Climate Change Working Group. https://www.iahr.org/site/cms/contentviewarticle.asp?article=777 Ranzi R., G. Nalder, A.A. Abdalla, J. Ball, G.S. De Costa, C. Galvão, Y.Jia,Y.O. Kim, E. Kolokytha, S.I. Lee, E. Nakakita, V.T.V. Nguyen, A. Paquier, P.L. Patel, M.A. Peviani, Ramesh S. V. Teegavarapu, Summary of recommendations for policymakers on adaption to climate change in water engineering. Hydrolink, ISSN: 1388-3445, International Association for Hydro-Environment Engineering and Research (IAHR), Madrid, 3, 93-95, 2015.
2. Florida Water Management and Adaptation in the Face of Climate Change, A white paper on climate change and Florida’s water resources, November 2011, 68 pages. One of the authors in alphabetical order: Berry, L., Bloetscher, F., Hernández Hammer, N., Koch-Rose, M., Mitsova-Boneva, D., Restrepo, J., Root, T., Ramesh S. V. Teegavarapu, 2011: Florida Water Management and Adaptation in the Face of Climate Change, Florida Climate Change Task Force. http://floridaclimate.org/docs/water_managment.pdf
3. Development of a Methodology for the Assessment of Sea Level Rise Impacts on Florida’s Transportation Modes and Infrastructure, 2012. Authors in alphabetical order: Berry, L., Arockiasamy M., Bloetscher, F., Kaisar, E., Rodriguez-Seda J., Scarlatos, P., Ramesh S. V. Teegavarapu, and Hammer, N. M.  http://www.trb.org/Main/Blurbs/166774.aspx
4. Ramesh S. V. Teegavarapu and co-authors, Development of Approaches for Change Detection of Spatial-temporal Features in Dynamic Environments for Gathering Geospatial-Intelligence, White Paper, Florida Atlantic University, 2014.
5. Ramesh S. V. Teegavarapu and co-authors. White paper on Issues and Proposed Resolutions on the Use of Uncertainty Analyses in Hydrologic/Hydraulic Modeling, EWRI Task Committee, ASCE.
6. Ramesh S. V. Teegavarapu and co-authors. Identification of Barriers and Issues and Their Resolution in use of Radar Rainfall Estimating Technology, 2007, EWRI Task Committee, ASCE.
7. Ramesh S. V. Teegavarapu and co-authors. White paper on Best Management Practices (BMPs) for Severe Weather Preparation and Recovery, 2008, Florida Atlantic University.   

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Software and Models

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Many of the tools below were conceived, designed, and developed by Ramesh Teegavarapu. Link for more details:

1. QA Tool: Machine-learning-based software for assessment of hydrometeorological data, 2024. Developed with the help of graduate student Mr. Vivek Sonar by Dr. T.
2. CHSET: Coastal Hydraulic Structure Evaluation Tool (CHSET), 2022. Jointly developed by Dr. T. and Dr. Rahul Kumar.
3. DRT: Data Research Tool (DRT).  2014. Data Analysis and Training Aid (DATA).              
4. HDET: Hydrologic Data Evaluation Tool (HDET), Phase I and II, 2014-2015. (With the help of Dr. Goly).
5. TRMMPEM: Tropical Rainfall Monitoring Mission Precipitation Extraction Module.
6. STAGE: Stage anomaly detection tool. 2013 – 2014. (With the help of Dr. Goly).
7. BAT: Bias Assessment Tool (BAT). A tool for assessment of bias considering observed and model estimated values. (With the help of Dr. Goly).
8. SEEP: Statistical Evaluation of Extreme Precipitation Software. An extensive statistical assessment tool for extreme precipitation events.
9. RAIN: Rainfall Analysis and INterpolation (RAIN) software. This software has more than twenty spatial interpolation methods for precipitation analysis. 2010-2011.
10. Decision Support System for Leachate Management, Web Based System, 2009, 2010.
11. Rain Radar Retrieval (R³) System .  Ramesh Teegavarapu (with some help from Andre Ferreira)
12. Probabilistic Analysis of Water Quality Data – MATLAB code, 2005.
13. Kriging Interpolation: Code for spatial stochastic data interpolation, 2004, 2005.
14. PatternGeoSort: Code for sorting Geometric Patterns in Hydrological Time Series, 2003, 2004.
15. MIST: Model Identification and Selection Tool: A Knowledge-based System for identifying and selecting water quality models.
16. System Dynamics Simulation Model for Water Quality Modeling and Management, 2002-2003.
17. STREAMS: STReam Environment Assessment and Monitoring System, a knowledge-assisted assessment system (completed), Tracy Farmer Center for the Environment and Kentucky Water Resources Research Institute, 2003.
18. System Dynamics Simulation (SDS) Models for Power Systems, Manitoba Hydro, Winnipeg, Canada, 2000.
19. Simulated Annealing Code for Optimal Operation of Hydropower Systems.
20. DSSOR (Decision Support System for Operation of Hydropower and Flood Control Reservoirs), Beta-version 1, 2000, completed. Manitoba Hydro, Canada.
21. Neural Network Software using two architectures (RBF, BP) 1995, 1996.
22. Interactive Optimization model and software for real-time reservoir operation (III – 4 (17) 92 – ET) and a Technical Manual, Department of Science and Technology (DST), India, 1995.