Journals

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SPI[Adopted from a paper recently published by Dr. T.  Drought analysis under El Nino Southern Oscillation]
  • Ramesh S. V. Teegavarapu, Ala Aly, Chandra S. Pathak, Jon Ahlquist, Henry Fuelberg, Improvised Spatial Interpolation Methods for Infilling Missing Precipitation Records, 2017.  International Journal of Climatology. Published.

  • 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. Published.

  • 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, 2017, Published.

  • Chandra S. Pathak, Ramesh. S. V. Teegavarapu, D. Curtis and C. Collier, Special Issue on Radar Rainfall and Operation Hydrology, Journal of Hydrologic Engineering, ASCE., 2016  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, IAHR, 3, 93-95, 2015. Peer reviewed publication.

  • Ramesh S. V. Teegavarapu, Aneesh Goly, Qinglong Wu, A Comprehensive  Framework for Assessment of bias in radar-based precipitation estimates, Journal of Hydrologic Engineering, ASCE , 2015. Published.
  • Chandra S. Pathak, Ramesh S. V. Teegavarapu, Chris Olson, Abhishek Singh, Wasantha Lal, Ceyda Polatel, Vahid Zahraeifard, and Sharika Senarath, Issues and Proposed Resolutions on Use of Uncertainty Analyses in Hydrologic/Hydraulic Modeling, Journal of Hydrologic Engineering, ASCE, 2015.  Published.
  • 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. 2015. Published.
  • 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, 2013. DOI:10.1080/02626667.2013.862334. Published.
  • Ramesh S. V. Teegavarapu, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, Water Resources Research, 49(11), 7804-7814, 2013. Published.
  • Ramesh S. V. Teegavarapu, Statistical Corrections of Spatially Interpolated Precipitation Estimates, Hydrological processes, 28(11), 3789–3808, 2014. DOI: 10.1002/hyp.9906. Published.
  • 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. Published.
  • Ramesh S. V. Teegavarapu and S. P. Simonovic; Dynamics of Hydropower System Operations, Water Resources Management. Springer Publications. DOI 10.1007/s11269-014-0586-2. 2014. 28:1937–1958. Published.
  • 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,  doi:10.1002/2013WR014540.. Published.
  • Pradeep Behera and Ramesh S. V. Teegavarapu, Optimization of a Regional Stormwater Quality Management Pond System, Water Resources Management. 2014. DOI 10.1007/s11269-014-0862-1. Published.
  • 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, 1–14, doi:10.1002/wrcr.20224, 2013. Published
  • Aneesh Goly, Ramesh S. V. Teegavarapu, Arpitha Mondal, Evaluation of Statistical Downscaling Models for Monthly Precipitation in Florida, Earth Interactions, 2014.  Published.
  • Aneesh Goly, Ramesh S. V. Teegavarapu, Optimization and Variants of Quantile Mapping -based Methods for Bias Corrections of Downscaled Precipitation Data, Water Resources Research (tentatively accepted for publication).
  • 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. Published
  • 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. Published.
  • 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. DOI: 10.1007/s11269-011-9940-9. Published.
  • 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. Doi:10.1016./j.cageo2011.07.004. Published.
  • Ramesh S. V. Teegavarapu, Modeling Climate Change Uncertainties in Water Resources Management Models, Environmental Modeling and Software, Volume 25, Issue 10, October 2010, Pages 1261-1265. Published.
  • Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Records Integrating Surface Interpolation Techniques and Spatio-Temporal Association Rules , Journal of HydroInformatics Vol, 11 No 2 pp 133–146, 2009. Published.
  • 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.
  • 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.
  • 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.
  • 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, 2006.
  • 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.
  • 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.
  • Ramesh S. V. Teegavarapu and Amin Elshorbagy, Fuzzy Set-Based Error Measure for Hydrologic Model Evaluation,  Journal of Hydroinformatics, 7,  199-208, 2005.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • P. P. Mujumdar and Ramesh S. V. Teegavarapu; A Short Term Reservoir Operation Model for Multicrop Irrigation; Hydrological Sciences Journal, 43(3), pp 479 – 494, June, 1998.
  • P.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.
  • 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.
  • Ramesh S. V. Teegavarapu, Training Neural Networks to Perform Rainfall Disaggregation,  Journal of Hydrologic Engineering, Vol 4, July/August, 342, ASCE, 2002.

 

  • Under Review (with Revisions- revised versions to be submitted)
  • Ramesh S. V. Teegavarapu, Singaih Chintalapudi, Ricardo Brown, Chandra Pathak Optimal Spatial Interpolation and Data-Driven Methods for Infilling Missing Rain Gage Records using Radar (NEXRAD) based Precipitation Data, Journal of Hydrologic Engineering, ASCE,  Revised version to be submitted.
  • Ramesh S. V. Teegavarapu and S. P. Simonovic, Optimal Operation of Reservoirs under Uncertain Decision Making Environments, Water Resources Research, 2016 (under review, major revisions to be submitted).
  • Ramesh S. V. Teegavarapu, Yossi Kaner and P. Scarlatos, Simulation and Animation of a Catastrophic Flooding Event, Journal of Computing in Civil Engineering, ASCE. (Tentatively accepted, being revised).
  • Under Review (with initial review not completed)
  • Gundersen, E., Kaisar, E., and Ramesh S. V. Teegavarapu R., Assessing Intermodal Transportation Security by Applying a Data Envelopment Analysis Model. ASCE-Journal of Infrastructure systems. 2013.

 

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