{"id":40,"date":"2015-02-10T15:04:27","date_gmt":"2015-02-10T15:04:27","guid":{"rendered":"http:\/\/faculty.eng.fau.edu\/ramesh\/?page_id=40"},"modified":"2026-04-15T23:54:10","modified_gmt":"2026-04-15T23:54:10","slug":"journals","status":"publish","type":"page","link":"https:\/\/faculty.eng.fau.edu\/ramesh\/?page_id=40","title":{"rendered":"Journals &amp; Peer Reviewed Publications"},"content":{"rendered":"<p>_________________________________<\/p>\n<ul>\n<li style=\"text-align: center\"><a href=\"http:\/\/faculty.eng.fau.edu\/ramesh\/files\/2015\/02\/SPI.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-465\" src=\"http:\/\/faculty.eng.fau.edu\/ramesh\/files\/2015\/02\/SPI.jpg\" alt=\"SPI\" width=\"1061\" height=\"635\" \/><\/a><em>[Adopted from a paper recently published by Dr. T.\u00a0 Drought analysis under El Nino Southern Oscillation]<\/em><\/li>\n<\/ul>\n<h5><em><strong>One of the major focus areas : Precipitation Estimation and Analysis. Link to publications: <a href=\"https:\/\/faculty.eng.fau.edu\/ramesh\/?page_id=529\">click here\u00a0<\/a><\/strong><\/em><\/h5>\n\n\n<p>Achala Singh, Priyank, J. Sharma, <strong>Ramesh S. V. Teegavarapu.<\/strong> Characterizing Complex Hydrological Extremes: A Framework Integrating Non-Stationarity Assessment and Copula-Based\u00a0Analysis, <em>Journal of Hydrologic Engineering (JHE), ASCE<\/em>. 2026. In print.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Rahul Kumar, Priyank Sharma, Tibebe Dessalegne, Operational Condition Indices for Coastal Hydraulic Structures with Discharge Capabilities.&nbsp; <em>Journal of Hydrologic Engineering<\/em> <em>(JHE), ASCE<\/em>, 30(1), 2024. <a href=\"https:\/\/doi.org\/10.1061\/JHYEFF.HEENG-6302\">https:\/\/doi.org\/10.1061\/JHYEFF.HEENG-6302<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra Pathak, David Curtis, Sanjaya Kumar Yadav, Anant Patel, Ayushi Panchal. Role of Ensemble-based Forecasting Methods in Reservoir Operations: Issues and Implementation Challenges. <em>Journal of Hydrologic Engineering<\/em>, 2025. <a href=\"https:\/\/doi.org\/\n10.1061\/JHYEFF.HEENG-6467\">https:\/\/doi.org\/ 10.1061\/JHYEFF.HEENG-6467<\/a>  <\/p>\n\n\n\n<p>Sandipan Paul, Priyank J. Sharma, <strong><u>Ramesh S. V. Teegavarapu<\/u><\/strong>, Deconstructing the Characteristics of Extreme Precipitation Events from Multiple Data Products during Indian Summer Monsoon. <em>Journal of Hydrology- Regional Studies<\/em>. <em>Published.<\/em> 2025. <a href=\"https:\/\/doi.org\/10.1016\/j.ejrh.2025.102667\">https:\/\/doi.org\/10.1016\/j.ejrh.2025.102667<\/a><\/p>\n\n\n\n<p>Hao Chen, Saihua Huang, He Qiu, Yue-Ping Xu, <strong>Ramesh S. V. Teegavarapu<\/strong>, Yuxue Guo, Hui Nie, Huawei Xie, Jingkai Xie, Yiting Shao, and Zhenzhu Meng. Global Assessment of Ecological Flow in River Basins: Insights from Baseflow Dynamics and Hydrological Health. <em>Ecological Indicators<\/em>, <em>Published<\/em>. 2025. <a href=\"https:\/\/doi.org\/10.1016\/j.ecolind.2025.113868\">https:\/\/doi.org\/10.1016\/j.ecolind.2025.113868<\/a><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><\/li>\n<\/ol>\n\n\n\n<p>Anant Patel, Sanjay M. Yadav, <strong>Ramesh S.V. Teegavarapu. <\/strong>Enhancing Real-time Flood Forecasting and Warning System by Integrating Ensemble Technique and Hydrologic Model Simulations. <em>Journal of Water and Climate Change, 24(2): 397-415.<\/em>  <a href=\"https:\/\/doi.org\/10.2166\/wcc.2024.052\">https:\/\/doi.org\/10.2166\/wcc.2024.052<\/a><\/p>\n\n\n\n<p>Sandipan Paul, Priyank J. Sharma, <strong>Ramesh S.V. Teegavarapu. <\/strong>Spatial Assessment of The Reproducibility of Indian Summer Monsoon Rainfall Regimes in Multiple Gridded Rainfall Products. <em>Scientific Reports<\/em>, 14, 29269, 2024.  <a href=\"https:\/\/doi.org\/10.1038\/s41598-024-75320-5\">https:\/\/doi.org\/10.1038\/s41598-024-75320-5<\/a><\/p>\n\n\n\n<p>Sandipan Paul, Priyank J. Sharma, <strong>Ramesh S.V. Teegavarapu. <\/strong>Rain Event Detection and Magnitude Estimation during Indian Summer Monsoon: Comprehensive Assessment of Gridded Precipitation Datasets Across Hydroclimatically Diverse Regions. <em>Atmospheric Research<\/em>, 313,  <a href=\"https:\/\/doi.org\/10.1016\/j.atmosres.2024.107761\">https:\/\/doi.org\/10.1016\/j.atmosres.2024.107761<\/a><\/p>\n\n\n\n<p>Sandipan Paul, Priyank J. Sharma, <strong>Ramesh S.V. Teegavarapu. <\/strong>Indian Summer Monsoon Rainfall Characteristics Derived from Multiple Gridded Datasets: A Comparative Assessment. <em>International Journal of Climatology<\/em>, 45(2), e8708, 2024. [Impact Factor: 3.61]. <a href=\"https:\/\/doi.org\/10.1002\/joc.8708\">https:\/\/doi.org\/10.1002\/joc.8708<\/a><\/p>\n\n\n\n<p>Achala Singh, Priyank, J. Sharma, <strong>Ramesh S. V. Teegavarapu.<\/strong> Understanding Non-Stationarity Patterns in Basin-Scale Hydroclimatic Extremes, <em>International Journal of Climatology<\/em>, 44(11), 3867-3887. 2024. [Impact Factor: 3.61]. <a href=\"https:\/\/doi.org\/10.1002\/joc.8557\">https:\/\/doi.org\/10.1002\/joc.8557<\/a><\/p>\n\n\n\n<p>Hao Chen, Yuxue Guo, Saihua Huang, Yue-Ping Xu, <strong>Ramesh S. V. Teegavarapu<\/strong>, Assessing the implications of climate variability for global baseflow and streamflow components<em>. Nature Water<\/em>. Under review. 2024.<\/p>\n\n\n\n<p>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. <em>Journal of Hydrology<\/em>. 648, 2024. [Impact Factor: 5.9]. <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2024.132392\">https:\/\/doi.org\/10.1016\/j.jhydrol.2024.132392<\/a><\/p>\n\n\n\n<p>Hao Chen, Saihua Huang, Yue-Ping Xu, <strong>Ramesh S. V. Teegavarapu<\/strong>, Yuxue Guo, Hui Nie, Huaxwei Xie, Using Baseflow Ensembles for Hydrologic Hysteresis Characterization in Humid Basins in Southeastern China. <em>Water Resources Research<\/em>, 2024. [Impact Factor: 5.4]. <a href=\"https:\/\/doi.org\/10.1029\/2023WR036195\">https:\/\/doi.org\/10.1029\/2023WR036195<\/a><\/p>\n\n\n\n<p>Mahdi Zarei; Reza Ghazavi; Khodayar Abdollahi; Roberto Ranzi; <strong>Ramesh S.V. Teegavarapu<\/strong>; 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\u2013415, 2024, <a href=\"https:\/\/doi.org\/10.2166\/ws.2024.018\">https:\/\/doi.org\/10.2166\/ws.2024.018<\/a><\/p>\n\n\n\n<p>Tucker Hindle, Frederick Bloetscher, Anthony Abbate, Jeffery Huber, Weibo Liu, Daniel E. Meeroff, Diana Mitsova, S. Nagarajan, Colin Polsky, Hongbo Su, <strong>Ramesh S. V. Teegavarapu<\/strong>, Zhixiao Xie, Yan Yong, and Caiyun Zhang.Scalability of CASCADE 2001: GIS-Based Flood Risk Screening Tool to Support Watershed Master Planning. <em>Applied Research Periodicals<\/em>, 2024,&nbsp; 2(8), 26-41. <a href=\"https:\/\/doi.org\/10.63002\/asrp.28.562\">https:\/\/doi.org\/10.63002\/asrp.28.562<\/a><\/p>\n\n\n\n<p>Stephanya S. Lotero, Frederick&nbsp; Bloetscher, other authors, <strong>Ramesh S. V. Teegavarapu, <\/strong>Incorporating Flood Inundation to Flood Risk Modeling<strong>. <\/strong><em>European Journal of Applied Sciences, <\/em>&nbsp; 12 No. 4 (2024). 241\u2013259. <a href=\"https:\/\/doi.org\/10.14738\/aivp.124.17312\">https:\/\/doi.org\/10.14738\/aivp.124.17312<\/a><\/p>\n\n\n\n<p>Hao Chen, Saihua Huang, Yue-Ping Xu, <strong>Ramesh S. V. Teegavarapu<\/strong>, 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. <em>Science of Total Environment<\/em>, 882,163571,2023. [Impact Factor: 8.2].&nbsp; <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2023.163571\">https:\/\/doi.org\/10.1016\/j.scitotenv.2023.163571<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu <\/strong>and Priyank J. Sharma, Prem Lal Patel, Frequency-based Performance Measure for Hydrologic Model Evaluation, <em>Journal of Hydrology<\/em>, 608, 2022.&nbsp; [Impact Factor: 5.9]. <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2022.127583\">https:\/\/doi.org\/10.1016\/j.jhydrol.2022.127583<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu <\/strong>and Priyank J. Sharma, Non-Overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity, <em>Journal of Hydrologic Engineering<\/em>, ASCE, 2021.Selected for Editor\u2019s Choice recognition (https:\/\/ascelibrary.org\/topic\/badge\/ed-choice).  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0002098\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0002098<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu <\/strong>and Priyank J. Sharma, Response to the discussion on Non-Overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity, <em>Journal of Hydrologic Engineering<\/em>, ASCE, 26(7) 2022.  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0002098\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0002098<\/a><\/p>\n\n\n\n<p>Monica Rajkumar, Sudhagar Nagarajan, <strong>Ramesh S. V. Teegavarapu<\/strong>, Peter DeWitt, Shoreline and Coastline Extraction using Multi-Spectral UAS Imagery, <em>Surveying and Land Information Science Journal<\/em>, AAGS, 81(2), 127-143 (17), 2022. <a href=\"https:\/\/www.ingentaconnect.com\/contentone\/aags\/salis\/2022\/00000081\/00000002\/art00005\">https:\/\/www.ingentaconnect.com\/contentone\/aags\/salis\/2022\/00000081\/00000002\/art00005<\/a><\/p>\n\n\n\n<p>Hao Chen, Saihua Huang, Yue-Ping Xu, <strong>Ramesh S. V. Teegavarapu<\/strong>,\nYuxue Guo, Jingkai Xie, Nie Hui. Quantitative Assessment of Impact of Climate Change And Human Activities on Streamflow Changes Using An Improved Three-Parameter Monthly\nWater Balance Model, <em>Remote Sensing<\/em>, 14(17), 4411, 2022. [Impact Factor: 4.20]. <a href=\"https:\/\/doi.org\/10.3390\/rs14174411\">https:\/\/doi.org\/10.3390\/rs14174411<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu <\/strong>and Priyank J. Sharma, Influences of Climate Variability on Regional Precipitation and Temperature Associations, <em>Hydrological Sciences Journal,<\/em> <em>66<\/em>(16), 2395\u20132414, 2021.  <a href=\"https:\/\/doi.org\/10.1080\/02626667.2021.1994976\">https:\/\/doi.org\/10.1080\/02626667.2021.1994976<\/a><\/p>\n\n\n\n<p>Hao Chen, Yue-Ping Xu, <strong>Ramesh S. V. Teegavarapu<\/strong>, Yuxue Guo, Jingkai Xie. Assessing Different Roles of Baseflow and Surface Runoff for Long-Term Streamflow Forecasting In Southeastern China, <em>Hydrological Sciences Journal<\/em>, <em>66<\/em>(16), 2312\u20132329, 2021.  <a href=\"https:\/\/doi.org\/10.1080\/02626667.2021.1988612\">https:\/\/doi.org\/10.1080\/02626667.2021.1988612<\/a><\/p>\n\n\n\n<p>Priyank J. Sharma and <strong>S. V. Teegavarapu<\/strong>, Influences of Local Hydroclimatology and Teleconnections on Florida\u2019s Precipitation and Temperature Variability, In print. <em>Hydrological Processes<\/em>, 35(9), 2021.  <a href=\"https:\/\/doi.org\/10.1002\/hyp.14347\">https:\/\/doi.org\/10.1002\/hyp.14347<\/a><\/p>\n\n\n\n<p>Hao Chen, <strong>Ramesh S. V. Teegavarapu, <\/strong>Yue-Ping Xu, Oceanic-Atmospheric Variability Influences on Baseflows in the Continental United States, <em>Water Resources Management<\/em>, 3005\u20133022, [Impact Factor: 3.9]. <a href=\"https:\/\/doi.org\/10.1007\/s11269-021-02884-6\">https:\/\/doi.org\/10.1007\/s11269-021-02884-6<\/a><\/p>\n\n\n\n<p>Caiyun Zhang, Hongbo Su, Tiantian Li, Gerardo Rojas, Tucker Hindle, Weibo Liu, Diana Mitsova, Sudhagar Nagarajan, Zhixiao Xie, <strong>Ramesh S. V. Teegavarapu<\/strong>, Daniel Meeroff , Fred Bloetscher, Yan Yong, Modeling and Mapping High Groundwater Table for a Coastal Region in Florida using Lidar DEM Data. <em>Groundwater<\/em>. 59(2), 190-198, 2021, <em><u>(Top cited article in 2021 and 2022)<\/u><\/em>  <a href=\"https:\/\/doi.org\/10.1111\/gwat.13041\">https:\/\/doi.org\/10.1111\/gwat.13041<\/a><\/p>\n\n\n\n<p>Frederick Bloetscher, Anthony Abbate, Jeffery Huber, Wiebo Liu, Daniel E. Meeroff, Diana Mitsova, S. Nagarajan, Colin Polsky, Hongbo Su, <strong>Ramesh S. V. Teegavarapu<\/strong>, 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, <em>Journal of Infrastructure, Policy, and Development, 1273,<\/em> 5(1), 2021. <a href=\"https:\/\/doi.org\/10.24294\/jipd.v5i1.1273\">https:\/\/doi.org\/10.24294\/jipd.v5i1.1273<\/a><\/p>\n\n\n\n<p>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, <strong>Ramesh S. V. Teegavarapu<\/strong>, 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. <a href=\"https:\/\/www.scirp.org\/journal\/paperinformation?paperid=112831\">https:\/\/www.scirp.org\/journal\/paperinformation?paperid=112831<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Precipitation Imputation using Probability Space-based Weighting Methods. <em>Journal of Hydrology<\/em>, 2020. <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124447\">https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124447<\/a> [Impact Factor: 5.9].<\/p>\n\n\n\n<p>Aneesh Goly, <strong>Ramesh S. V. Teegavarapu<\/strong>, Optimization, and Variants of Quantile Mapping -based Methods for Bias Corrections of Downscaled Precipitation Data. <em>Journal of Hydrologic Engineering<\/em>, ASCE, 25(7), 2020.  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001926\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001926<\/a><\/p>\n\n\n\n<p>Subash Yeggina, <strong>S. V. Teegavarapu<\/strong>, Sekhar M., and Satya Prakash. Evaluation and Bias Corrections of Gridded Precipitation Data for Hydrologic Modeling Support in Kabini River Basin, India, <em>Journal of Theoretical and Applied Climatology<\/em>,140,1495\u20131513, 2020.  <a href=\"https:\/\/doi.org\/10.1007\/s00704-020-03175-7\">https:\/\/doi.org\/10.1007\/s00704-020-03175-7<\/a><\/p>\n\n\n\n<p>Hao Chen, <strong>S. V. Teegavarapu<\/strong>, Spatial and Temporal Variability in Baseflow Characteristics across the Continental United States, <em>Journal of Theoretical and Applied Climatology<\/em>, 143, 1615\u20131629, 2020.  <a href=\"https:\/\/doi.org\/10.1007\/s00704-020-03481-0\">https:\/\/doi.org\/10.1007\/s00704-020-03481-0<\/a><\/p>\n\n\n\n<p>Marco Arrieta-Castro, Adriana Donado-Rodr\u00edguez, Fausto Canales, Guillermo J. Acu\u00f1a, <strong>Ramesh S. V. Teegavarapu<\/strong>, Analysis of Streamflow Variability and Trends in the Meta River, Colombia, Water, <em>12<\/em>(5), 1451, 2020.  <a href=\"https:\/\/doi.org\/10.3390\/w12051451\">https:\/\/doi.org\/10.3390\/w12051451<\/a><\/p>\n\n\n\n<p>Evengalos I. Kaisar, <strong>Ramesh S. V. Teegavarapu<\/strong>, Elizabeth Gunderson, Data Envelopment Analysis Model for Assessment of Safety and Security of Intermodal Transportation Facilities, <em>Journal of Traffic and Transportation Engineering<\/em>, 2019. 7, 191-205. DOI:10.17265\/2328-2142\/2019.05.001<\/p>\n\n\n\n<p>Subash Yeggina, <strong>Ramesh S. V. Teegavarapu, <\/strong>Sekhar Muddu, A Conceptually Superior Variant of Shepard\u2019s Method with Modified Neighborhood Selection for Precipitation Interpolation, <em>International Journal of Climatology<\/em>, 39(12), 4627-4647, 2019.  <a href=\"https:\/\/doi.org\/10.1002\/joc.6091\">https:\/\/doi.org\/10.1002\/joc.6091<\/a><\/p>\n\n\n\n<p>Hao Chen, <strong>S. V. Teegavarapu<\/strong>, Comparative Analysis of Four Baseflow Separation Methods in the South Atlantic-Gulf Region of the U.S., <em>Water<\/em>, 12(1), 120, 2019.  <a href=\"https:\/\/doi.org\/10.3390\/w12010120\">https:\/\/doi.org\/10.3390\/w12010120<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu, <\/strong>Exploring Geometric Patterns in Streamflow Time Series: Utility for Forecasting? <em>Hydrology Research, 49(6),1724-1739, <\/em>201  <a href=\"https:\/\/doi.org\/10.2166\/nh.2018.127\">https:\/\/doi.org\/10.2166\/nh.2018.127<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Singaiah Chintalapudi, Ricardo Brown, Chandra Pathak, Optimal Spatial Interpolation and Data-Driven Methods for Filling Missing Rain Gauge Records using Radar-based Precipitation Estimates, <em>Journal of Environmental Informatics<\/em>, 2019. Tentatively accepted.<\/p>\n\n\n\n<p>Fahad K. Khadim, <strong>Ramesh S. V. Teegavarapu<\/strong>, Optimal Interventions for Flood Control, Drainage, and Irrigation Project Improvements, <em>Hydrological Sciences Journal<\/em>, <em>65<\/em>(3), 427\u2013441,  <a href=\"https:\/\/doi.org\/10.1080\/02626667.2019.1701191\">https:\/\/doi.org\/10.1080\/02626667.2019.1701191<\/a>.<\/p>\n\n\n\n<p>Sina Borzooei, G. Miranda, <strong>Ramesh S. V. Teegavarapu<\/strong>, G. Scibilia, L. Meucci, C. Zanetti, Assessment of Weather-based Influent Scenarios for a Water Resource Recovery Facility: Application of Pattern Recognition Technique, <em>Journal of Environmental Management<\/em>. 2019. 242, 450-456. [Impact Factor: 8.0]. <a href=\"https:\/\/doi.org\/10.1016\/j.jenvman.2019.04.083\">https:\/\/doi.org\/10.1016\/j.jenvman.2019.04.083<\/a><\/p>\n\n\n\n<p>Sina Borzooei,<strong> Ramesh S. V. Teegavarapu, <\/strong>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. <em>Water, Air and Soil Pollution<\/em>, 230, 5,  <a href=\"https:\/\/doi.org\/10.1007\/s11270-018-4053-1\">https:\/\/doi.org\/10.1007\/s11270-018-4053-1<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly. Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation, <em>Water Resources Management<\/em>, 32(6), 1969-1992, 2018. [Impact Factor: 3.9]. <a href=\"https:\/\/doi.org\/10.1007\/s11269-017-1887-z\">https:\/\/doi.org\/10.1007\/s11269-017-1887-z<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu <\/strong>and Singaiah Chintalapudi, Incorporating Influences of Shallow Groundwater Conditions in Curve Number-based Runoff Estimation Methods, <em>Water Resources Management<\/em>, 32, 4313\u20134327, [Impact Factor: 3.9]. <a href=\"https:\/\/doi.org\/10.1007\/s11269-018-2053-y\">https:\/\/doi.org\/10.1007\/s11269-018-2053-y<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, 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.&nbsp; <em>International Journal of Climatology<\/em>. 38(2), 776-793. [Impact Factor: 3.61]. <a href=\"https:\/\/doi.org\/10.1002\/joc.5209\">https:\/\/doi.org\/10.1002\/joc.5209<\/a><\/p>\n\n\n\n<p>Carlos Galv\u00e3o, Young-Oh Kim, Elpida Kolokytha, Arpita Mondal, Pradeep P. Mujumdar, Daisuke Nohara, Satoru Oishi, Roberto Ranzi, <strong>Ramesh S V. Teegavarapu<\/strong>, The Contribution of IAHR\u2019s (International Association for Hydro-Environment Engineering and Research) Communities of Water Management and Climate Change Towards the Sustainable Development Goals<strong>,<\/strong> Special Issue of <em>Hydrolink<\/em>, 3, 77-79, 2017. &nbsp;Equal contribution from all authors. Authors\u2019 names arranged in alphabetical order. <a href=\"https:\/\/hdl.handle.net\/20.500.11970\/109373\">https:\/\/hdl.handle.net\/20.500.11970\/109373<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and Anurag Nayak. Evaluation of Long-term Trends in Extreme Precipitation: Implications of Infilled Historical Data and Temporal-Window based Analysis, <em>Journal of Hydrology<\/em>, 2017. 550, 614-634. [Impact Factor: 5.9] <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2017.05.030\">https:\/\/doi.org\/10.1016\/j.jhydrol.2017.05.030<\/a><\/p>\n\n\n\n<p>Tigstu, Dullo, A. Kalyanapu and <strong>Ramesh S. V. Teegavarapu<\/strong>, 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 <em>Journal of Hydrologic Engineering<\/em>, 22(11), 2017.  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001575\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001575<\/a><\/p>\n\n\n\n<p>Chandra S. Pathak, <strong>S. V. Teegavarapu<\/strong>, D. Curtis and C. Collier, Special Issue on Radar Rainfall and Operation Hydrology, <em>Journal of Hydrologic Engineering<\/em>, ASCE., 22(5), 2017  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001533\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001533<\/a><\/p>\n\n\n\n<p>Ranzi R., G. Nalder, A.A. Abdalla, J. Ball, G.S. De Costa, C. Galv\u00e3o,&nbsp;Y.Jia,Y.O. Kim, E. Kolokytha, S.I. Lee, E. Nakakita, V.T.V. Nguyen, A. Paquier, P.L. Patel, M.A. Peviani, <strong>Ramesh Teegavarapu<\/strong>, Summary of Recommendations for Policymakers on Adaption to Climate Change In Water Engineering.&nbsp;<em>Hydrolink<\/em>, ISSN: 1388-3445, International Association for Hydro-Environment Engineering and Research (IAHR), 3, 93-95, 2015. <strong>Equal contribution from all authors. Authors&#8217; names are arranged in alphabetical order.<\/strong><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly and Qinglong Wu, Comprehensive Framework for Assessment of Radar-based Precipitation Data Estimates, <em>Journal of Hydrologic Engineering<\/em>, ASCE, 22(5), 2015, E4015002. <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001277\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001277<\/a><\/p>\n\n\n\n<p>Chandra S. Pathak, <strong>Ramesh S. V. Teegavarapu<\/strong>, 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, <em>Journal of Hydrologic Engineering<\/em>, ASCE, 2015, 20(10), 02515003.  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001231\">https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001231<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra S. Pathak, John R. Mecikalski, and Jayanthi Srikishen, Optimal Solar Radiation Sensor Network Design using Spatial and Geostatistical Analyses, <em>Journal of Spatial Science<\/em>. <em>61<\/em>(1), 69\u201397,  <a href=\"https:\/\/doi.org\/10.1080\/14498596.2015.1051147\">https:\/\/doi.org\/10.1080\/14498596.2015.1051147<\/a><\/p>\n\n\n\n<p>Pradeep Behera and <strong>Ramesh S. V. Teegavarapu<\/strong>, Optimization of a Regional Stormwater Quality Management Pond System, <em>Water Resources Management<\/em>. 29, 1083\u20131095, 2015. [Impact Factor: 3.9] <a href=\"https:\/\/doi.org\/10.1007\/s11269-014-0862-1\">https:\/\/doi.org\/10.1007\/s11269-014-0862-1<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and S. P. Simonovic; Simulation of Multiple Hydropower Reservoir Operations Using System Dynamics Approach, <em>Water Resources Management<\/em>. Springer Publications. 2014. 28:1937\u20131958. [Impact Factor: 3.9] <a href=\"https:\/\/doi.org\/10.1007\/s11269-014-0586-2\">https:\/\/doi.org\/10.1007\/s11269-014-0586-2<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Statistical Corrections of Spatially Interpolated Precipitation Estimates, <em>Hydrological Processes<\/em>, 28(11), 3789\u20133808,  <a href=\"https:\/\/doi.org\/10.1002\/hyp.9906\">https:\/\/doi.org\/10.1002\/hyp.9906<\/a><\/p>\n\n\n\n<p>Aneesh Goly and <strong>Ramesh S. V. Teegavarapu<\/strong>, Individual and coupled Influences of AMO and ENSO on Regional Precipitation Characteristics and Extremes, <em>Water Resources Research<\/em>, 2014. 50. 50(6), 4686-4709, [Impact Factor: 4.6] <a href=\"https:\/\/doi.org\/10.1002\/2013WR014540\">https:\/\/doi.org\/10.1002\/2013WR014540<\/a><\/p>\n\n\n\n<p>Aneesh Goly, <strong>Ramesh S. V. Teegavarapu<\/strong>, Arpitha Mondal, Evaluation of Statistical Downscaling Models for Monthly Precipitation in Florida, <em>Earth Interactions<\/em>, 2014. [Impact Factor: 1.6] <a href=\"https:\/\/journals.ametsoc.org\/view\/journals\/eint\/18\/18\/ei-d-14-0024.1.pdf\">DOI: 10.1175\/EI-D-14-0024.1<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Missing Precipitation Data Estimation Using Optimal Proximity Metric-based Imputation, Nearest Neighbor Classification and Cluster-based Interpolation Methods, <em>Hydrological Sciences Journal<\/em>, <em>59<\/em>(11), 2009\u20132026, 2013. [Impact Factor: 2.8]. <a href=\"https:\/\/doi.org\/10.1080\/02626667.2013.862334\">https:\/\/doi.org\/10.1080\/02626667.2013.862334<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, <em>Water Resources Research<\/em>, 49(11), 7804-7814, 2013. [Impact Factor: 4.6] <a href=\"https:\/\/doi.org\/10.1002\/2013WR013490\">https:\/\/doi.org\/10.1002\/2013WR013490<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly, and Jayantha Obeysekera, Influences of Atlantic Multi-Decadal Oscillation on Regional Precipitation Extremes, <em>Journal of Hydrology<\/em>, 495, 2013, 74\u201393.[Impact Factor: 5.9] <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2013.05.003\">https:\/\/doi.org\/10.1016\/j.jhydrol.2013.05.003<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Andre Ferreira, and S. P. Simonovic, Fuzzy Multi-Objective Models for Optimal Operation of a Hydropower System, <em>Water Resources Research<\/em>, 49(6), 3180-3193, 2013, [Impact Factor: 4.6] <a href=\"https:\/\/doi.org\/10.1002\/wrcr.20224\">https:\/\/doi.org\/10.1002\/wrcr.20224<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Spatial Interpolation using Non-linear Mathematical Programming Models for Estimation of Missing Precipitation Records, <em>Hydrological Sciences Journal<\/em>, 57(3), 383-406, 2012.  <a href=\"https:\/\/doi.org\/10.1080\/02626667.2012.665994\">https:\/\/doi.org\/10.1080\/02626667.2012.665994<\/a><\/p>\n\n\n\n<p>Andre Ferreira and <strong>Ramesh S. V. Teegavarapu<\/strong>, Partial Constraint Satisfaction Approaches for Optimal Operation of a Hydropower System, <em>Engineering Optimization<\/em>, 44(9), 1073-1093, 2012. <a href=\"https:\/\/doi.org\/10.1080\/0305215X.2011.632007\">https:\/\/doi.org\/10.1080\/0305215X.2011.632007<\/a><\/p>\n\n\n\n<p>Andre Ferreira and <strong>Ramesh S. V. Teegavarapu<\/strong>, Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints, <em>Water Resources Management<\/em>, 26:707\u2013732, 2012. [Impact Factor: 3.9] <a href=\"https:\/\/doi.org\/10.1007\/s11269-011-9940-9\">https:\/\/doi.org\/10.1007\/s11269-011-9940-9<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Tadesse Meskele and Chandra Pathak, Geo-Spatial Grid-based Transformation of Multi-Sensor Precipitation using Spatial Interpolation Methods, <em>Computers and Geosciences<\/em>, 40, 28-39, 2012. [Impact Factor: 4.2] <a href=\"https:\/\/doi.org\/10.1016\/j.cageo.2011.07.004\">https:\/\/doi.org\/10.1016\/j.cageo.2011.07.004<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Modeling Climate Change Uncertainties in Water Resources Management Models, <em>Environmental Modeling and Software<\/em>, 25(10), 1261-1265, 2010. [Impact Factor: 5.22]. <a href=\"https:\/\/doi.org\/10.1016\/j.envsoft.2010.03.025\">https:\/\/doi.org\/10.1016\/j.envsoft.2010.03.025<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Estimation of Missing Precipitation Records Integrating Surface Interpolation Techniques and Spatio-Temporal Association Rules, <em>Journal of HydroInformatics<\/em>, 11(2), 133\u2013146, 2009.  <a href=\"https:\/\/doi.org\/10.2166\/hydro.2009.009\">https:\/\/doi.org\/10.2166\/hydro.2009.009<\/a><\/p>\n\n\n\n<p>Mohammad Tufail, Lindell Ormsbee, <strong>Ramesh S. V. Teegavarapu<\/strong>, Artificial Intelligence-Based Inductive Models for Prediction and Classification of Fecal Coliform in Surface Waters, <em>Journal of Environmental Engineering<\/em>, ASCE, 2008, 789-799.  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)0733-9372(2008)134:9(789)\">https:\/\/doi.org\/10.1061\/(ASCE)0733-9372(2008)134:9(789)<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Use of Universal Function Approximation in Variance-dependent Interpolation Technique: An Application in Hydrology, 332, 16-29, <em>Journal of Hydrology<\/em>, 2007. [Impact Factor: 5.9] <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2006.06.017\">https:\/\/doi.org\/10.1016\/j.jhydrol.2006.06.017<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Mohammad Tufail and Lindell Ormsbee, Optimal Functional Forms for Estimation of Missing Precipitation Records, <em>Journal of Hydrology<\/em>, 2009, 374 (2009) 106\u2013115. [Impact Factor: 5.9] <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2009.06.014\">https:\/\/doi.org\/10.1016\/j.jhydrol.2009.06.014<\/a> In the GP Bibliography database:<em>http:\/\/www.cs.bham.ac.uk\/~wbl\/biblio\/gp-html\/RameshSVTeegavarapu.html<\/em><\/p>\n\n\n\n<p>Amin Elshorbagy, <strong>Ramesh S. V. Teegavarapu<\/strong>, and Lindell Ormsbee, Assessment of Pathogen Pollution in Watersheds using Object-Oriented Modeling and Probabilistic Analysis, <em>Journal of Hydroinformatics<\/em>, 7, 51-63,  <a href=\"https:\/\/doi.org\/10.2166\/jh.2006.012\">https:\/\/doi.org\/10.2166\/jh.2006.012<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and V. Chandramouli, Improved Weighting Methods, Deterministic and Stochastic Data-driven Models for Estimation of Missing Precipitation Records, <em>Journal of Hydrology<\/em>, 191-206, 312, 2005.  <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2005.02.015\">https:\/\/doi.org\/10.1016\/j.jhydrol.2005.02.015<\/a><\/p>\n\n\n\n<p>The original methods developed in this study are used in several studies worldwide. More than 500 citations of this work.<sup data-fn=\"03472b75-65bc-4544-bb82-5f48afe51f26\" class=\"fn\"><a href=\"#03472b75-65bc-4544-bb82-5f48afe51f26\" id=\"03472b75-65bc-4544-bb82-5f48afe51f26-link\">1<\/a><\/sup><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Anil Tangirala and Lindell Ormsbee, Development of Water Quality Management Alternatives for a Nutrient Impaired Stream using System Dynamics Simulation, <em>Journal of Environmental Informatics<\/em>, 5(2), 73-81, 2005. [Impact Factor: 10.22] <a href=\"https:\/\/api.semanticscholar.org\/CorpusID:110478964\">https:\/\/api.semanticscholar.org\/CorpusID:110478964<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and Amin Elshorbagy, Fuzzy Set-Based Error Measure for Hydrologic Model Evaluation, <em>Journal of Hydroinformatics<\/em>, 7, 199-208, 2005.  <a href=\"https:\/\/doi.org\/10.2166\/hydro.2005.0017\">https:\/\/doi.org\/10.2166\/hydro.2005.0017<\/a><\/p>\n\n\n\n<p>Amin Elshorbagy, <strong>Ramesh S.V. Teegavarapu<\/strong> and Lindell Ormsbee, Total Daily Maximum Load (TMDL) Approach to Water Quality Management: Concepts, Issues and Applications <em>Canadian Journal of Civil Engineering<\/em> (CJCE), 32(2), 442-448, 2005.  <a href=\"https:\/\/doi.org\/10.1139\/l04-107\">https:\/\/doi.org\/10.1139\/l04-107<\/a><\/p>\n\n\n\n<p>Amin Elshorbagy, <strong>Ramesh S.V. Teegavarapu<\/strong> and Lindell Ormsbee, Framework for Assessment of Relative Pollutant Loads with Limited Data, Journal of IWRA, <em>Water International<\/em>, 30(3), 350-355, 2005. [Impact Factor: 2.6] <a href=\"https:\/\/doi.org\/10.1080\/02508060508691892\">https:\/\/doi.org\/10.1080\/02508060508691892<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and S. P. Simonovic; Optimal Operation of Water Resource Systems Using Simulated Annealing, <em>Water Resources Management<\/em>, Journal, Vol 16, pp 401 \u2013 428, 2003. [Impact Factor: 3.9] <a href=\"https:\/\/doi.org\/10.1023\/A:1021993222371\">https:\/\/doi.org\/10.1023\/A:1021993222371<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Training Neural Networks to Perform Rainfall Disaggregation, <em>Journal of Hydrologic Engineering<\/em>, Vol 4, July\/August, 342, ASCE, 2002.  <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)1084-0699(2002)7:4(342)\">https:\/\/doi.org\/10.1061\/(ASCE)1084-0699(2002)7:4(342)<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong><sup>+<\/sup> and S. P. Simonovic; Short-term Operation Model for Coupled Hydropower Reservoirs, <em>Journal of Water Resources Planning and Management<\/em>, ASCE, Vol. 126, No.2, pp 98 &#8211; 106, 2000. [Impact Factor: 3.0] <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)0733-9496(2000)126:2(98)\">https:\/\/doi.org\/10.1061\/(ASCE)0733-9496(2000)126:2(98)<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and S. P. Simonovic; Modeling Uncertainty in Reservoir Loss Functions using Fuzzy Sets, <em>Water Resources Research<\/em>, Vol 35, No.9, pp 2815 &#8211; 2823, 1999. [Impact Factor: 4.6] <a href=\"https:\/\/doi.org\/10.1029\/1999wr900165\">https:\/\/doi.org\/10.1029\/1999wr900165<\/a><\/p>\n\n\n\n<p>P. Mujumdar and <strong>Ramesh S. V. Teegavarapu<\/strong>; A Short-Term Reservoir Operation Model for Multi-crop Irrigation; <em>Hydrological Sciences Journal<\/em>, 43(3), pp 479 &#8211; 494, June 1998.  <a href=\"https:\/\/doi.org\/10.1080\/02626669809492139\">https:\/\/doi.org\/10.1080\/02626669809492139<\/a><\/p>\n\n\n\n<p>P. Mujumdar and <strong>Ramesh S. V. Teegavarapu<\/strong>; Real-time Reservoir Operation for Irrigation; <em>Water Resources Research<\/em>, Vol. 33, No.5, pp 1157 &#8211; 1164, May 1997. [Impact Factor: 4.6] <a href=\"https:\/\/doi.org\/10.1029\/96WR03907\">https:\/\/doi.org\/10.1029\/96WR03907<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and P. P. Mujumdar; Stochastic Models for Reservoir Planning and Operation, <em>Hydrology Review<\/em>, Vol. 8, No.1, pp 20 &#8211; 28, June 1993.<\/p>\n\n\n\n<p>_________________________________________________________<\/p>\n\n\n\n<p><strong>Book Mini Chapters\/Articles<\/strong><\/p>\n\n\n\n<p>_________________________________________________________<\/p>\n\n\n\n<p>Sina Borzooei, <strong>Ramesh S. V. Teegavarapu<\/strong>, 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.<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-99867-1_122\">https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-99867-1_122<\/a> <a href=\"https:\/\/doi.org\/10.1007\/978-3-319-99867-1_122\">https:\/\/doi.org\/10.1007\/978-3-319-99867-1_122<\/a><\/p>\n\n\n\n<p><strong>Ramesh S.V. Teegavarapu<\/strong> and Chandra Pathak, Development of Optimal Z-R Relationships, Weather Radar, and Hydrology, <em>International Association of Hydrological Sciences (IAHS)<\/em> Red Book, United Kingdom, 351, 75-80. 2012. ISBN 978-1-907161-26-1, 672.<\/p>\n\n\n\n<p>Scarlatos P., Kaisar E., and <strong>S. V. Teegavarapu<\/strong>, Modeling, and Simulation of Catastrophic Events Affecting Critical Infrastructure Systems, Mathematical Methods, and Applied Computing, <em>MMACTEE&#8217;09: Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering. <\/em>Vol. 3, 2009, pp. 334-346.&nbsp; ISBN:978-960-474-124-3<\/p>\n\n\n\n<p><strong>Ramesh S.V. Teegavarapu<\/strong> and S. P. Simonovic; Optimal Operation of Water Resource Systems: Trade-offs between Modeling and Practical Solutions, Integrated Water Resources Management, <em>International Association of Hydrological Sciences (IAHS)<\/em> Red Book, 272, 2002, 257 \u2013 262, International Association of Hydrological Sciences, United Kingdom (UK). ISBN: 978-1-901502-71-8<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> 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 \u2013794., 2002, 7 pages. Elsevier Science, Amsterdam. ISBN-13 :\u200e 978-0444509758&nbsp; <a href=\"https:\/\/doi.org\/10.2136\/vzj2004.0731\">https:\/\/doi.org\/10.2136\/vzj2004.0731<\/a><\/p>\n\n\n\n<p>Amin Elshorbagy, Ramesh<strong>V. Teegavarapu<\/strong> and Lindell Ormsbee; System Dynamics Approach for Water Quality Management in South Eastern Kentucky, Volume 2,&nbsp; # 47, <em>Developments in Water Science, Computational Methods in Water Resources<\/em>, Editors: S. M. Hassanizadeh, R. J. Schotting., W. G. Gray and G. F. Pinder,&nbsp; pp 1557 \u20131564, 2002, 7 pages Elsevier Science, Amsterdam. ISBN-13 :\u200e 978-0444509758&nbsp; <a href=\"https:\/\/doi.org\/10.2136\/vzj2004.0731\">https:\/\/doi.org\/10.2136\/vzj2004.0731<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>; Input Structures for a Neural Network Model used for Streamflow Forecasting, Hydrology in Changing Environment, Vol (3), pp 104 &#8211; 115, 1998. International Association of Hydrological Sciences (IAHS) Publication. ISBN: 978-0-471-98686-7.<\/p>\n\n\n\n<p>___________________________________________________________<\/p>\n\n\n\n<p><strong>Book Chapters [52] [38 chapters published, 14 under submission]<\/strong><\/p>\n\n\n\n<p>___________________________________________________________<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Data Cleaning and Hydroanlytics<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Outliers and Anomalies in Hydrometeorological Data<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Rule-based and Statistical Methods<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Machine Learning Methods<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Bias Assessment and Corrections<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Analyzing and Correcting Precipitation Data<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Analyzing Stage Data<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Analyzing Temperature and Snow Data<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Design of Quality Assessment Systems<\/em> in book: Hydroanlytics: Methods for Detection of Outliers and Anomalies in Hydrometeorological Data. To be published in 2025.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> and Roberto Ranzi. <em>Climate Change and Stationarity<\/em>, Monograph\/book: Water Engineering Design Guidance in a Changing Climate, International Association for Hydro-Environment Engineering and Research (IAHR) published in 2025. <a href=\"https:\/\/www.iahr.org\/library\/infor?pid=34349\">https:\/\/www.iahr.org\/library\/infor?pid=34349<\/a><strong>&nbsp; <\/strong>ISBN: 9789083558936.<\/p>\n\n\n\n<p>Roberto Ranzi and <strong>Ramesh S. V. Teegavarapu<\/strong>. <em>Hydroclimatic Variability<\/em>, Monograph\/book: Water Engineering Design Guidance in a Changing Climate, International Association for Hydro-Environment Engineering and Research (IAHR)  published in 2025. <a href=\"https:\/\/www.iahr.org\/library\/infor?pid=34349\">https:\/\/www.iahr.org\/library\/infor?pid=34349<\/a><strong>&nbsp; <\/strong>ISBN: 9789083558936.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Stationary: Basics<\/em>,&nbsp; in Stationarity: A Gentle Introduction. World Scientific Publising (WSP), to be published in 2025. ISBN: 9789811255403. &nbsp;<a href=\"https:\/\/doi.org\/10.1142\/12810\">https:\/\/doi.org\/10.1142\/12810<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Statistical Hypothesis-based Parametric Assessments<\/em>, in Stationarity: A Gentle Introduction. World Scientific Press (WSP), to be published in 2025. ISBN: 9789811255403. <a href=\"https:\/\/doi.org\/10.1142\/12810\">https:\/\/doi.org\/10.1142\/12810<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Statistical Hypothesis-based Non-parametric Assessments<\/em>, in Stationarity: A Gentle Introduction. World Scientific Press (WSP), to be published in 2025. ISBN: 9789811255403. &nbsp;<a href=\"https:\/\/doi.org\/10.1142\/12810\">https:\/\/doi.org\/10.1142\/12810<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Introduction to Missing data, In <\/em>Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_1\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_1<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Methods for Imputation of Missing Data<\/em>, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_2\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_2<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Temporal Interpolation Methods<\/em>, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_3\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_3<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Spatial Interpolation Methods<\/em>, In Imputation Methods for Missing Hydrometeorological Data Estimation, 2024. ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_4\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_4<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Universal Function Approximation and<\/em> <em>Data-driven Models for Imputation<\/em>, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, 2024. ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_5\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_5<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Machine Learning and<\/em> <em>Multiple Imputation Methods<\/em>, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, &nbsp; ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_6\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_6<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Evaluation of Methods and Imputed Data<\/em>, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, &nbsp; ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_2\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_<\/a>7<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Case Studies and Applications<\/em>: Imputation of Missing Hydrometeorological Data, In Imputation Methods for Missing Hydrometeorological Data Estimation, Springer, ISBN:978-3031609459. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-60946-6_8\">https:\/\/doi.org\/10.1007\/978-3-031-60946-6_8<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, 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. <a href=\"https:\/\/doi.org\/10.1201\/9780429289873\">https:\/\/doi.org\/10.1201\/9780429289873<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Elpida Kolokytha, Carlos Galvao <em>Water Resources Management in a Changing Climate: Major Issues<\/em>. 2020. In Climate-Change Sensitive Water Resources Management, Taylor and Francis. ISBN: 978-0367674144. <a href=\"https:\/\/doi.org\/10.1201\/9780429289873\">https:\/\/doi.org\/10.1201\/9780429289873<\/a><\/p>\n\n\n\n<p>Elpida Kolokytha, <strong>Ramesh S. V. Teegavarapu<\/strong>, Carlos Galvao, <em>Adaptive Water Management, and Climate Effects<\/em>. 2020. In Climate-Change Sensitive Water Resources Management, Taylor and Francis. 2020. ISBN: 978-0367674144. <a href=\"https:\/\/doi.org\/10.1201\/9780429289873\">https:\/\/doi.org\/10.1201\/9780429289873<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Simulation Models and Systems Thinking, <\/em>Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. <a href=\"https:\/\/doi.org\/10.1201\/9780429345555\">https:\/\/doi.org\/10.1201\/9780429345555<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Building Models using System Dynamics Principles<\/em>, Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. <a href=\"https:\/\/doi.org\/10.1201\/9780429345555\">https:\/\/doi.org\/10.1201\/9780429345555<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>System Dynamics Models and Applications<\/em>, Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management. ISBN: 9781000414271. <a href=\"https:\/\/doi.org\/10.1201\/9780429345555\">https:\/\/doi.org\/10.1201\/9780429345555<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Simulation with Animation<\/em>. Dynamic Simulation and Virtual Reality Approaches for Hydrologic Modeling and Water Resources Management<em>.<\/em> ISBN: 9781000414271. <a href=\"https:\/\/doi.org\/10.1201\/9780429345555\">https:\/\/doi.org\/10.1201\/9780429345555<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Mean Areal Precipitation Estimation: Issues and Methods<\/em>, in the book Rainfall: Modeling, Measurement and Applications, Elsevier Publication. 2022. Edited by Renato Morbidelli. 48 pages. ISBN: <a href=\"https:\/\/doi.org\/10.1016\/C2019-0-04937-0\">https:\/\/doi.org\/10.1016\/C2019-0-04937-0<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Spatial and Temporal Estimation and Analysis of Precipitation<\/em>, , Ed. V. P. Singh, McGraw Hill, 2016, &nbsp;The book won the \u201c2018 PROSE Award for Excellence\u201d in Engineering &amp; Technology Category. &nbsp;<a href=\"https:\/\/proseawards.com\/winners\/2018-award-winners\/\">https:\/\/proseawards.com\/winners\/2018-award-winners\/<\/a>&nbsp; <a href=\"https:\/\/www.accessengineeringlibrary.com\/content\/book\/9780071835091\/toc-chapter\/chapter39\/section\/section1\">https:\/\/www.accessengineeringlibrary.com\/content\/book\/9780071835091\/toc-chapter\/chapter39\/section\/section1<\/a>&nbsp; ISBN-13: 978-0071835091<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Evaluation and Improvement of Radar Rainfall Data,<\/em> Radar Rainfall Data Estimation and Use (MOP 139), 53-58. 2019, <a href=\"https:\/\/doi.org\/10.1061\/9780784415115.ch04\">https:\/\/doi.org\/10.1061\/9780784415115.ch04<\/a> ISBN: 978-0784415115.<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Rain-Gauge Rainfall Data Augmentaion and Radar Rainfall Data<\/em><em> Analysis<\/em>, Radar Rainfall Data Estimation and Use, (MOP 139), 95-110. 2019. <a href=\"https:\/\/doi.org\/10.1061\/9780784415115.ch08\">https:\/\/doi.org\/10.1061\/9780784415115.ch08<\/a> ISBN: 978-0784415115<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Framework for Bias Analysis of Radar Data<\/em>, Radar Rainfall Data Estimation and Use, (MOP -139), 73-93. 2019. <a href=\"https:\/\/doi.org\/10.1061\/9780784415115.ch07\">https:\/\/doi.org\/10.1061\/9780784415115.ch07<\/a> ISBN: 978-0784415115<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Design of Rainfall Monitoring Networks<\/em>, Radar Rainfall Data Estimation and Use, (MOP 139), 111-120. <a href=\"https:\/\/doi.org\/10.1061\/9780784415115.ch09\">https:\/\/doi.org\/10.1061\/9780784415115.ch09<\/a>&nbsp; ISBN: 978-0784415115<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Statistical Analysis of Precipitation Extremes<\/em>, in ASCE Book on Statistical Analysis of Hydrologic Variables: Methods and Applications, Ramesh Teegavarapu and Chandra Pathak, ASCE. 2019. <a href=\"https:\/\/doi.org\/10.1061\/9780784415177.ch02\">https:\/\/doi.org\/10.1061\/9780784415177.ch02<\/a>&nbsp;&nbsp; ISBN: 978-0784415177<\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Jose D. Salas, Jery R. Stedinger, <em>Introduction <\/em>in ASCE Book on Statistical Analysis of Hydrologic Variables: Methods and Applications, ISBN: 978-0784415177. <a href=\"https:\/\/doi.org\/10.1061\/9780784415177.ch02\">https:\/\/doi.org\/10.1061\/9780784415177.ch02<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Climate Variability and Changes in Precipitation Extremes and Characteristics<\/em>, Springer, 2016. In Sustainable Water Resources Planning and Management Under Climate Change. ISBN: 978-9811020490. <a href=\"https:\/\/doi.org\/10.1007\/978-981-10-2051-3_1\">https:\/\/doi.org\/10.1007\/978-981-10-2051-3_1<\/a><\/p>\n\n\n\n<p>Elpida Kolokytha, Carlos de Oliveira Galvao, <strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Climate Change Impacts in Water Resources Management and Planning<\/em>, Springer, 2016. In Sustainable Water Resources Planning and Management Under Climate Change. ISBN: 978-9811020490. <a href=\"https:\/\/doi.org\/10.1007\/978-981-10-2051-3_11\">https:\/\/doi.org\/10.1007\/978-981-10-2051-3_11<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Methods for Analysis of Trends and Change Detection<\/em>, Elsevier Published, 2018. In Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change. ISBN: 978-0128109854. <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-810985-4.00001-3\">https:\/\/doi.org\/10.1016\/B978-0-12-810985-4.00001-3<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Changes and Trends in Precipitation Extremes and Characteristics<\/em>: Links to Climate Variability, Elsevier (published), 2018. In Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change. ISBN: 978-0128109854. <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-810985-4.00002-5\">https:\/\/doi.org\/10.1016\/B978-0-12-810985-4.00002-5<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, Alejandra Schmidt, <em>Variations and Trends in Global and Regional Sea Levels<\/em>, Elsevier (published), 2018. In Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change. ISBN: 978-0128109854.&nbsp; <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-810985-4.00007-4\">https:\/\/doi.org\/10.1016\/B978-0-12-810985-4.00007-4<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong> <em>Technology Enhanced Learning for Civil Engineering Education: Use of Dynamic and Virtual-Reality based Simulation<\/em>, 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. <a href=\"https:\/\/doi.org\/10.1201\/9781315165486\">https:\/\/doi.org\/10.1201\/9781315165486<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Precipitation and Climate Change<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, UNESCO, International Hydrology Series, 2013. &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Precipitation Measurement<\/em>, Floods in a Changing Climate, Cambridge University Press: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Spatial Analysis of Precipitation<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Extreme Precipitation and Floods<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Climate Change Modeling and Precipitation<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Precipitation Variability, and Teleconnections<\/em>, Floods in a Changing Climate: Extreme Precipitation, International Hydrology Series, 2013 &amp; 2018. ISBN:9781107018785.<a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Precipitation Trends, and Variability<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, 2013. &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Hydrologic Modeling and Design<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, 2013. &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442<\/a><\/p>\n\n\n\n<p><strong>Ramesh S. V. Teegavarapu<\/strong>, <em>Future Perspectives<\/em>, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, 2013. &amp; 2018. ISBN:9781107018785. <a href=\"https:\/\/doi.org\/10.1017\/CBO9781139088442\">https:\/\/doi.org\/10.1017\/CBO9781139088442&nbsp;<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>_________________________________________________________________<\/p>\n\n\n\n<p><strong>Peer Reviewed Abstracts<\/strong><\/p>\n\n\n\n<p>_________________________________________________________________<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Achala Singh, Priyank Sharma, <strong>Ramesh S. V. Teegavarapu, <\/strong>A Novel Approach for Assessing Non-stationarity in Hydroclimatic Extremes. <em>European Geophysical Union (EGU) General Assembly, April &nbsp;2025<\/em>. Accepted.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu, <\/strong>Objective and Optimal Spatial Interpolation Approaches for Imputing Missing Precipitation Records. <em>European Geophysical Union (EGU) General Assembly, April 2025.<\/em> Accepted.<\/li>\n\n\n\n<li>Thu Nguyen, Anika Azad,<strong> Ramesh S. V. Teegavarapu,<\/strong>&nbsp; Model Tree, and Regularization Approaches for Estimation of Missing precipitation Records. <em>European Geophysical Union (EGU) General Assembly <\/em>&nbsp;<em>2024, Vienna, April 2024<\/em>.&nbsp; 2024EGUGA..2618097N. <a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2024EGUGA..2618097N\/doi:10.5194\/egusphere-egu24-18097\">https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2024EGUGA..2618097N\/doi:10.5194\/egusphere-egu24-18097<\/a><\/li>\n\n\n\n<li>Achala Singh, Priyank Sharma<strong>, Ramesh S. V. Teegavarapu,&nbsp; <\/strong>Navigating Hydroclimatic Extremes: Understanding the Interplay of Climate Change and Variability. <em>European Geophysical Union (EGU) General Assembly 2024, Vienna, April 2024<\/em>. &nbsp;2024EGUGA..2614414S.&nbsp; <a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2024EGUGA..2614414S\/doi:10.5194\/egusphere-egu24-14414\">https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2024EGUGA..2614414S\/doi:10.5194\/egusphere-egu24-14414<\/a><\/li>\n\n\n\n<li><a><strong>Ramesh S. V. Teegavarapu, <\/strong><\/a>Priyank Sharma, Diego Jara Li. Stationarity Assessment of Precipitation and Temperature Extremes in the Continental United States. <em>European Geophysical Union (EGU) General <\/em>Assembly &nbsp;2023, Vienna, April 25, 2023. &nbsp;2023EGUGA..2513123T. <a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2023EGUGA..2513123T\/doi:10.5194\/egusphere-egu23-13123\">https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2023EGUGA..2513123T\/doi:10.5194\/egusphere-egu23-13123<\/a><\/li>\n\n\n\n<li>Achala Singh, Priyank, J. Sharma,<strong> Ramesh S. V. Teegavarapu<\/strong>, Stationarity Assessment of Hydroclimatic Variables for a Tropical River Basin. <em>European Geophysical Union (EGU) General Assembly, <\/em>&nbsp;<em>2023, Vienna, April 25, 2023<\/em>. 2023EGUGA..25..634S. <a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2023EGUGA..25..634S\/doi:10.5194\/egusphere-egu23-634\">https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2023EGUGA..25..634S\/doi:10.5194\/egusphere-egu23-634<\/a><\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>,Precipitation Imputation using Optimal Probability Space-based Interpolation, <em>European Geophysical Union (EGU) General Assembly, 2020. <\/em>&nbsp;2020EGUGA..2220930T.<a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2020EGUGA..2220930T\/doi:10.5194\/egusphere-egu2020-20930\">https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2020EGUGA..2220930T\/doi:10.5194\/egusphere-egu2020-20930<\/a>&nbsp; Not presented due to COVID.<\/li>\n\n\n\n<li>Patel, P. L., Sharma, P., and <strong>Ramesh. S. V. Teegavarapu<\/strong>. Assessing the utility of climate variability information in streamflow forecasting, <em>European Geophysical Union (EGU) General Assembly <\/em><em>2021, online, 19\u201330 Apr 2021. <\/em>2021EGUGA..2314633L.&nbsp; <a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2021EGUGA..2314633L\/doi:10.5194\/egusphere-egu21-14633\">https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2021EGUGA..2314633L\/doi:10.5194\/egusphere-egu21-14633<\/a><\/li>\n\n\n\n<li>Sina Borzooei, <strong>Ramesh S. V. Teegavarapu<\/strong>, 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, <em>11<sup>th<\/sup> International Conference on Urban Drainage Modelling<\/em>, <em>23-26 September 2018, Palermo, Italy. 706-707.<\/em><\/li>\n\n\n\n<li>C. Pathak and <strong>Ramesh S. V. Teegavarapu<\/strong>, Radar-based Precipitation Estimates Use in Hydrologic Modeling and Extreme Event Analysis: Emerging Issues, Applications, and Lessons Learned, <em>ASCE-EWRI World Environmental and Water Congress, Sacramento, May 2017.<\/em><\/li>\n\n\n\n<li>Pradeep Behera<strong>, Ramesh S. V. Teegavarapu<\/strong>, C. Pathak. Variability of Storm Event Characteristics in Different Climate Zones of Continental United States: Implications for Stormwater Management and Hydrologic Design. <em>ASCE-EWRI World Environmental and Water Congress<\/em>, <em>Sacramento, May 2017.<\/em><\/li>\n\n\n\n<li>Pradeep Behera, <strong>Ramesh S. V. Teegavarapu<\/strong>, et al. Tracking Changes and Trends in the Potomac River Stream Flow Extremes and Characteristics. <em>ASCE-EWRI World Environmental and Water Congress, <\/em><em>&nbsp;2016 International Conference, West Palm Beach<\/em>, <em>Florida, USA<\/em>.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, C. Chandramouli, P. Behera. Evaluating between Sea Level Variations and Climate Variability for the Continental United States, <em>ASCE-EWRI World Environmental and Water Congress, <\/em><em>2016 International Conference<\/em>, <em>West Palm Beach, Florida, USA.<\/em><\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Low Flow Variability, and Coupled Oceanic-Atmospheric Oscillations, <em>American Geophysical Union (AGU) Fall Meeting<\/em>, <em>December 2014.<\/em> &nbsp;2014AGUFM.H23N1086T<\/li>\n\n\n\n<li>Aneesh Goly and <strong>Ramesh S. V. Teegavarapu<\/strong>, Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation. <em>American Geophysical Union (AGU) Fall Meeting<\/em>, <em>December 2014.<\/em> &nbsp;2014AGUFM.H13F1188G<\/li>\n\n\n\n<li>Sudhagar Nagarajan, Yushin Ahn, <strong>Ramesh S. V. Teegavarapu<\/strong>, Analytical Incorporation of Velocity Parameters into Ice Sheet Elevation Change Rate Computations. <em>American Geophysical Union (AGU) Fall Meeting<\/em>, Extended Abstract: # C21C-0361. 2014AGUFM.C21C0361N<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Hydrologic Design under Changing Regional Precipitation Extremes and Characteristics: Influences of Climate Variability and Change, <em>KOBE-EU Symposium<\/em>, <em>October 13-15, 2014<\/em>.<\/li>\n\n\n\n<li>Chandra Pathak, <strong>Ramesh S. V. Teegavarapu<\/strong>, Uncertainty Analysis Approaches in Hydrologic Modeling, <em>ASCE-EWRI World Environmental and Water Congress<\/em><em>, 2014<\/em>.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, <em>ASCE-EWRI World Environmental and Water Congress<\/em><em>, 2014<\/em>.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong> and Milla Pierce, Precipitation Regime Changes under Decadal and Multi-Decadal Oscillations, <em>ASCE-EWRI World Environmental and Water Congress<\/em><em>, 2014<\/em>.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra Pathak, Optimizing Reflectivity-Rain Rate (Z-R) Relationship Parameters for Improved Radar-based Precipitation Estimates, <em>Weather Radar and Hydrology (WRaH) International Symposium, April 7-9, Washington DC, &nbsp;2014<\/em>.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly, Quinlong Wu, A Comprehensive Framework for Assessment of Radar Data, <em>Weather Radar and Hydrology (WRaH) International Symposium, April 7-9, Washington DC, &nbsp;2014<\/em>.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu, <\/strong>&nbsp;Uncertainty Assessments of Spatially Interpolated Missing Precipitation Data Estimates, <em>American Geophysical Union (AGU) Fall Meeting, 2013.<\/em> 2013AGUFM.H33B1343T<\/li>\n\n\n\n<li>Aneesh Goly,<strong>&nbsp; Ramesh S. V. Teegavarapu, <\/strong>&nbsp;Coupled Oceanic-Atmospheric Variability at Different Temporal Scales and U.S. Precipitation Characteristics, <em>American Geophysical Union (AGU) Fall Meeting, 2013.<\/em> 2013AGUFM.H52B..05G<\/li>\n\n\n\n<li>Aneesh Goly,<strong>&nbsp; Ramesh S. V. Teegavarapu<\/strong>, Comparative Assessment of Statistical Downscaling Methods for Precipitation in Florida, <em>American Geophysical Union (AGU) Fall Meeting, 2012. 2012AGUFMGC41B0966G<\/em><\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>,Estimation of Missing Precipitation Records using Classifier, Cluster and Proximity Metric-Based Interpolation Schemes.&nbsp; <em>American Geophysical Union (AGU) Fall Meeting, 2012.<\/em> 2012AGUFM.H33K1489T<\/li>\n\n\n\n<li>Husayn El. Sharif, <strong>Ramesh S. V. Teegavarapu<\/strong>, Evaluation of Fuzzy-Logic Framework for Spatial Statistics Preserving Methods for Estimation of Missing Precipitation Data.&nbsp; <em>American Geophysical Union (AGU) Fall Meeting, 2012. <\/em>2012AGUFM.H33C1352E<\/li>\n\n\n\n<li>Husayn El. Sharif, <strong>Ramesh S. V. Teegavarapu<\/strong>, Spatial Statistics Preserving Interpolation Methods for Estimation of Missing Precipitation Data. <em>American Geophysical Union (AGU) Fall Meeting, 2011. <\/em>2011AGUFM.H41G1132E<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu,&nbsp; <\/strong>Viswanathan, C., Behera P.Variability of Precipitation Extremes and Climate Change: Evaluation using Descriptive Indices. <em>American Geophysical Union (AGU) Fall Meeting, 2011. <\/em>2011AGUFM.H21D1138T<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Anurag Nayak, Chandra Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis, <em>American Geophysical Union (AGU) Fall Meeting, 2010<\/em>. &nbsp;2010AGUFM.H13E1020T.<\/li>\n\n\n\n<li>Noemi Gonzalez, <strong>Ramesh S. V. Teegavarapu<\/strong>, Lin Huang, Evaluation of Spatial and Temporal Distribution of Extreme Precipitation Events and their Relation to Peak Flooding, <a><em>American Geophysical Union (AGU) Fall Meeting, 2010<\/em><\/a>. 2010AGUFM.H13E1021G.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu, <\/strong>Sharika U. Senarath, Chandra S. Pathak. Evaluation of Variants of Monte Carlo Simulation for Hydrologic Model Uncertainty Assessment, <em>American Geophysical Union (AGU) Fall Meeting, <\/em>2009. 2009AGUFM.H41F0963T<\/li>\n\n\n\n<li>Andre Ferreira, <strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra S. Pathak. Evaluation of Optimal Reflectivity-Rain Rate (Z-R) Relationships for Improved Precipitation Estimates, <em>American Geophysical Union (AGU) Fall Meeting, <\/em>2009. 2009AGUFM.H31D0805F<\/li>\n\n\n\n<li>Meskele, T., <strong>Ramesh. S. V. Teegavarapu<\/strong>, Chandra S. Pathak. Comparative Evaluation of NEXRAD and TRMM Satellite based Precipitation Estimates and Rain Gage Measurements, <em>American Geophysical Union (AGU) Fall Meeting, <\/em>2008. 2008AGUFM.H23E1023M<\/li>\n\n\n\n<li><strong>Ramesh. S. V. Teegavarapu<\/strong>, Meskele, T.,&nbsp; Chandra S. Pathak, Geo-Spatial Grid-based Transformations of Multi-Sensor Precipitation Estimates, <em>American Geophysical Union (AGU) Fall Meeting, <\/em>2008. 2008AGUFM.H23E1022T<\/li>\n\n\n\n<li><strong>Ramesh. S. V. Teegavarapu<\/strong>,Water Resources Management and Hydrologic Design Under Uncertain Climate Change Scenarios, <em>American Geophysical Union (AGU) Spring&nbsp; Meeting, <\/em>2008. 2008AGUSM.H51B..04T<\/li>\n\n\n\n<li><strong>Ramesh. S. V. Teegavarapu<\/strong>,Optimal Cluster-based Models for Estimation of Missing Precipitation Records, <em>American Geophysical Union (AGU) Fall Spring Meeting, <\/em>2008. 2008AGUSM.H23A..06T<\/li>\n\n\n\n<li>Delroy Peters, <strong>Ramesh. S. V. Teegavarapu, <\/strong>Chandra S. Pathak. Characterizing Rain Gage \u2013 Radar (NEXRAD) Data Relationships Using Inductive Modeling, <em>American Geophysical Union (AGU) Fall Meeting, <\/em>2007. 2007AGUFM.H23K..08P<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, Estimation of Missing Precipitation Data using Soft Computing based Spatial Interpolation Techniques, <em>American Geophysical Union (AGU) Fall Meeting, <\/em>2007. &nbsp;2007AGUFM.H13H1683T<\/li>\n\n\n\n<li><strong>Ramesh S.V.&nbsp; Teegavarapu<\/strong>, Integration of Spatial Interpolation Techniques and Association Rules for Estimation of Missing Precipitation Data, <em>American Geophysical Union (AGU) Fall Meeting, &nbsp;2006.<\/em>&nbsp; 2006AGUFM.H23D1544T<\/li>\n\n\n\n<li><strong>Ramesh S.V. Teegavarapu<\/strong>, Seth Bradley and Lindell Ormsbee, Probabilistic Goal-Driven Water Quality Management, abstract published, <em>American Geological Society (AGS) Annual Meeting<\/em>, <em>March 2006.<\/em> Presented by Seth Bradley.<\/li>\n\n\n\n<li>Seth Bradley, Lindell Ormsbee, <strong>Ramesh S.V.&nbsp; Teegavarapu<\/strong>, Modeling the Fate and Transport of Pathogens in a Watershed using Discrete Volume Method, abstract published, <em>American Geological Society (AGS) Annual Meeting<\/em>, March 2006.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, 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<\/li>\n\n\n\n<li><strong>Ramesh S.V. Teegavarapu<\/strong>, A New Integrated Neural Network Architecture for Streamflow Forecasting, abstract, <a><em>American Geophysical Union (AGU) Fall Meeting<\/em><\/a>, <em>December 2005<\/em>.&nbsp; EOS transactions, 86(52), H54B-08. 2005AGUFM.H54B..08T<\/li>\n\n\n\n<li>Viswanathan C., <strong>Ramesh S. V. Teegavarapu<\/strong>, Lindell Ormsbee. Surface Water Assessment and Hydrologic Modeling under Karst Aquifer Conditions. <em>American Geophysical Union (AGU) Fall Meeting<\/em>, <em>December 2005<\/em>.&nbsp; 2005AGUFM.H21A1320V<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong>, and Lindell Ormsbee, Regional Assessment of Pathogen Pollution Using Kriging Approach, <em>EOS transactions, <\/em><em>American Geophysical Union (AGU) Fall Meeting<\/em>, <em>December 2004<\/em>. &nbsp;<em>H53A-1210, 85(47), 2004.<\/em> &nbsp;2004AGUFM.H53A1210T<\/li>\n\n\n\n<li><strong>Ramesh S.V. Teegavarapu<\/strong>, Anil Tangirala, and Lindell Ormsbee.&nbsp; Assessing Hydrologic Similarity of Watersheds by Analyzing Geometric Patterns in Streamflow Time Series, Abstract in <em>EOS Transactions 84(46), American Geophysical Union (AGU) Fall Meeting, 2003<\/em>. 2003AGUFM.H12B0969T.<\/li>\n\n\n\n<li>Anil Tangirala, <strong>Ramesh S.V.&nbsp; Teegavarapu<\/strong> and Lindell Ormsbee.&nbsp; Developing Water Quality Management Strategies at Different Watershed Scales Using System Dynamics Simulation, <em>Abstract in EOS Transactions 84(46), American Geophysical Union (AGU) Fall Meeting, 2003<\/em>. 2003AGUFM.H51C1064T<\/li>\n\n\n\n<li><strong>Ramesh S.V. Teegavarapu<\/strong>, Improving Neural Network Performance for Streamflow Prediction: Use of Geometrical Patterns in Time Series, extended abstract, <em>AWRA Annual Conference, November 2002<\/em>, p129, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/li>\n\n\n\n<li><strong>Ramesh S.V. Teegavarapu<\/strong>, Amin Elshorbagy and Lindell Ormsbee; Characterizing Pollutant Loadings in Streams using System Dynamics Simulation, extended abstract, <em>Proceedings of AWRA Annual Conference, November 2002<\/em>, p 247, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/li>\n\n\n\n<li>Amin Elshorbagy, <strong>Ramesh S.V. Teegavarapu<\/strong> and Lindell Ormsbee; System Dynamics, GIS and Inductive Modeling: A Tool Kit for Water Quality Management, extended abstract, <em>Proceedings of AWRA Annual Conference, November 2002<\/em>, p 64, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/li>\n\n\n\n<li><strong>Ramesh S.V.&nbsp; Teegavarapu<\/strong> and Lindell Ormsbee; Modeling Environmental Systems using System Dynamics Approach and Object-Oriented Simulation Tools, extended abstract published in CD ROM proceedings of <em>AEESP\/AAEE Conference<\/em>, Understanding Complex Environmental systems, pp 52, 2002.<\/li>\n\n\n\n<li><strong>Ramesh S. V. Teegavarapu<\/strong> and Amin El-Shorbagy; Disaggregation of Streamflows Using Neural Networks, Extended Abstract published. <em>International Conference of the American Institute of Hydrology (AIH)<\/em>, November 2000.<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n<h6><strong><span style=\"color: #999999\">\u00a9 Ramesh<\/span>Teegavarapu<\/strong><\/h6>\n\n\n<p><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>_________________________________ [Adopted from a paper recently published by Dr. T.\u00a0 Drought analysis under El Nino Southern Oscillation] One of the major focus areas : Precipitation Estimation and Analysis. Link to publications: click here\u00a0 Achala Singh, Priyank, J. Sharma, Ramesh S. &hellip; <a href=\"https:\/\/faculty.eng.fau.edu\/ramesh\/?page_id=40\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":73,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"[]"},"class_list":["post-40","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=\/wp\/v2\/pages\/40","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=\/wp\/v2\/users\/73"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=40"}],"version-history":[{"count":106,"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=\/wp\/v2\/pages\/40\/revisions"}],"predecessor-version":[{"id":2414,"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=\/wp\/v2\/pages\/40\/revisions\/2414"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.fau.edu\/ramesh\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=40"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}