This page provides information and links to different publications/products (journals, conferences, technical report, books and software) of Dr. Ramesh Teegavarapu and co-authors for research related to precipitation analysis, downscaling and estimation of point and gridded precipitation data.
Ramesh S. V. Teegavarapu, Priyank J. Sharma, Non-overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity, Journal of Hydrologic Engineering, ASCE, 2021. Published. Received the Editor’s choice recognition. Link to the Publication
Ramesh S. V. Teegavarapu, Priyank J. Sharma, Non-overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity, Closure for discussion, Journal of Hydrologic Engineering, ASCE, 2022. Published. https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0002193
Ramesh S. V. Teegavarapu and Priyank J. Sharma, Influences of Climate Variability on Regional Precipitation and Temperature Associations, Hydrological Sciences Journal, 2021. Published. Link to Publication
Ramesh S. V. Teegavarapu, Precipitation Imputation with Probability Space-based weighting methods, Journal of Hydrology, 2019. Link to Publication
Priyank J. Sharma and Ramesh S. V. Teegavarapu, Influences of Local Hydroclimatology and Teleconnections on Florida’s Precipitation and Temperature Variability, Published. Hydrological Processes, 2021. Link to Publication
Goly, A. and Ramesh S. V. Teegavarapu, Optimization and Variants of Quantile-based Methods for Bias Corrections of Statistically Downscaled Precipitation Data, Journal of Hydrologic Engineering, ASCE, 2020. Link to Publication
Subash Yeggina, S. V. Teegavarapu, Sekhar M., Evaluation and Bias Corrections of Gridded Precipitation Data for Hydrologic Modeling Support in Kabini River Basin, India, Journal of Theoretical and Applied Climatology, 2020. Link to Publication
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. 2019. Link to Publication
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, 2018
Ramesh S. V. Teegavarapu, A . Goly, Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation, Water Resources Management, 2017. 32(6), 1969-1992. Link to the Publication
Ramesh S. V. Teegavarapu, Spatial and Temporal Estimation and Analysis of Precipitation, Handbook of Applied Hydrology, 2017, McGraw Hill, Published. Link to Publication
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 Link to 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. Link to Publication
Ramesh S. V. Teegavarapu, Statistical Corrections of Spatially Interpolated Precipitation Estimates, Hydrological processes, 28(11), 3789–3808, 2014. DOI: 10.1002/hyp.9906. Link to Publication
Aneesh Goly, Ramesh S. V. Teegavarapu, Arpitha Mondal, Evaluation of Statistical Downscaling Models for Monthly Precipitation in Florida, Earth Interactions, 2014. Link to Publication
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. Link to Publication
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. Link to Publication
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. Link to Publication
Ramesh S. V. Teegavarapu, Use of Universal Function Approximation in Variance-dependent Interpolation Technique: An Application in Hydrology, Journal of Hydrology, 332, 16-29, 2007. Link to Publication
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. Link to Publication
Ramesh S. V. Teegavarapu, Ala Aly, Chandra S. Pathak, Jon Ahlquist, Henry Fuelberg, Jill Hood, Infilling Missing Precipitation Records using Variants of Spatial Interpolation and Data-Driven Methods: Use of Optimal Weighting Parameters and Nearest Neighbor-based Corrections, International Journal of Climatology, 2017. Link to Publication
Ramesh S. V. Teegavarapu, Aneesh Goly, Qinglong Wu, A Comprehensive Framework for Assessment of Radar-based Precipitation Data Estimates, Journal of Hydrologic Engineering, ASCE, 2015. Link to Publication
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,2017, Journal of Hydrology, Link to Publication
Ramesh S. V. Teegavarapu, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, Water Resources Research, 49(11), 7804-7814, 2013. Published. Link to Publication
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. Link to Publication
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. Link to the publication
Book Chapters
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. Link to Publication.
Ramesh S. V. Teegavarapu, Water Resources Management in a Changing Climate: Major Issues. 2020. In Climate-Change Sensitive Water Resources Management, Taylor and Francis. Link to Publication.
Ramesh S. V. Teegavarapu, Mean Areal Precipitation: Estimation and Issues. 2021. In Rainfall, Elsevier. Published.
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. Link to Publication.
Ramesh S. V. Teegavarapu, Chandra Pathak, Statistical Analysis of Precipitation Extremes, Chapter 1. Statistical Analysis of Hydrologic Variables: Methods and Applications. ASCE. 2019. Lead Editor of the book with two co-editors. Link to the publication
Ramesh S. V. Teegavarapu, Jose D. Salas, Jery R. Stedinger, Introduction chapter, in ASCE Book on Statistical Analysis of Hydrologic Variables: Methods and Applications, 2019. Link to the publication
Ramesh S. V. Teegavarapu, Spatial and Temporal Estimation and Analysis of Precipitation, Handbook of Applied Hydrology, McGraw Hill, Published. 2017. Link to Publication
Ramesh S. V. Teegavarapu, Climate variability and changes in precipitation extremes and characteristics, Sustainable Water Resources Planning and Management under Climate Change, Springer, 2017. One of the co-editors of the book. Link to Publication
Ramesh S. V. Teegavarapu, Evaluation and Improvement of Radar-based Rainfall and Design of Monitoring Networks, Radar Rainfall Data Estimation and Use, 2019. American Society of Civil Engineers (ASCE). Link to Publication
Ramesh S. V. Teegavarapu, Precipitation Data Augmentation, and Analysis of Radar-based Rainfall Data, Radar Rainfall Data Estimation and Use, 2019. American Society of Civil Engineers (ASCE). Link to Publication
Ramesh S. V. Teegavarapu, Framework for Bias Analysis of Radar Data, Radar Rainfall Data Estimation and Use, 2019. American Society of Civil Engineers (ASCE). Link to Publication
Ramesh S. V. Teegavarapu, Design of Rainfall Monitoring Network,Radar Rainfall Data Estimation and Use, 2019. American Society of Civil Engineers (ASCE). Link to Publication
Ramesh S. V. Teegavarapu, 2018. Changes and Trends in Precipitation Extremes and Characteristics: Links to Climate Variability and Change, Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change, Elsevier, 2018. Sole Editor. Link to Publication
Ramesh S. V. Teegavarapu, Precipitation and Climate Change, Floods in a Changing Climate: Extreme Precipitation, Cambridge University Press, UNESCO, International Hydrology Series, 2013. Link to Publication
Ramesh S. V. Teegavarapu, Precipitation Measurement, Floods in a Changing Climate :Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 Link to Publication
Ramesh S. V. Teegavarapu, Spatial Analysis of Precipitation, Floods in a Changing Climate:Extreme Precipitation, Cambridge University Press,International Hydrology Series, 2013 Link to Publication
Ramesh S. V. Teegavarapu, Extreme Precipitation and Floods, Floods in a Changing Climate:Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 Link to Publication
Ramesh S. V. Teegavarapu, Climate Change Modeling and Precipitation, Floods in a Changing Climate:Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 Link to Publication
Ramesh S. V. Teegavarapu, Precipitation Variability and Teleconnections, Floods in a Changing Climate:Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013 Link to Publication
Ramesh S. V. Teegavarapu, Precipitation Trends and Variability, Floods in a Changing Climate:Extreme Precipitation, Cambridge University Press, International Hydrology Series, 2013. Link to Publication
Conference Publications
Priyank Sharma, Ramesh S. V. Teegavarapu, Climate Variability Influences on Seasonal Precipitation-Temperature Associations across Florida. HYDRO 2020 International, 25th International Conference on Hydraulics, Water Resources and Coastal Engineering, India, March 26-28, 2021.
Ramesh S. V. Teegavarapu, Precipitation Imputation using Optimal Probability Space-Based Interpolation, EGU 2020. Not presented due to Covid19.
Ramesh S. V. Teegavarapu, Spatial Interpolation for Missing Precipitation Data: Use of Proximity Metrics, Nearest Neighbor Classifiers and Clusters, Abstract, EWRI, 2012, ASCE, New Mexico, May, 2012.
Ramesh S. V. Teegavarapu, Aneesh Goly, Chandramouli Viswanathan, Pradeep Behera, Precipitation Extremes and Climate Change: Evaluation using Descriptive WMO Indices. Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.
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, 10 pages, ASCE, 2011
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, 2010
Ramesh S. V. Teegavarapu and Chandra Pathak, Infilling Missing Precipitation Data using NEXRAD Data: Use of Optimal Spatial Interpolation and Data-Driven Methods, EWRI-ASCE World Environmental and Water Congress, 2010.
Ramesh S. V. Teegavarapu, Spatial Precipitation Analysis for Continuous Estimation (SPACE): Patterns, Organization and Processes, ASCE-EWRI, International Conference, 2010.
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.
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 and Pankaj Bajaj, Optimal Spatial Weighting Methods for Estimation of Missing Rain Gage Records, ASCE, World Environmental and Water Resources Congress, 2008.
Ramesh S. V. Teegavarapu, Delroy Peters and Chandra Pathak, Evaluation of Functional Forms of Rain Gage – Radar (NEXRAD) Data Relationships, ASCE, World Environmental and Water Resources Congress, 2008.
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, ASCE, World Environmental and Water Resources Congress, 2008.
Aswartha Balla, Ramesh S. V. Teegavarapu, Chandramouli Viswanathan, Lindell Ormsbee, Evaluation of Spatial Interpolation Techniques for Estimation of Missing Precipitation Data, ASCE Annual Conference, Tampa, 2007
Ramesh S. V. Teegavarapu and P. P. Mujumdar; Rainfall Forecasting using Neural Networks, Seventh IAHR International Symposium on Stochastic Hydraulics, Vol I, pp 325 – 332, 29th-31st July 1996, Mackay, Australia.
Aneesh Goly, Ramesh S. V. Teegavarapu, Assessment of various Statistical Downscaling Methods for Downscaling Precipitation in Florida. Paper submitted to ASC-EWRI World Environmental and Water Resources Congress, Cincinnati, USA. 2013.
Aneesh Goly, Ramesh S. V. Teegavarapu Multi-Objective Optimization Methods for Bias Correction of Statistically Downscaled Precipitation, Paper submitted to ASC-EWRI World Environmental and Water Resources Congress, Cincinnati, USA. 2013
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 International Conference, Kansas City, May 2009.
Aneesh Goly, Ramesh S. V. Teegavarapu, Influence of Teleconnections on Spatial and Temporal Variability of Extreme Precipitation Events in Florida, EWRI, 2012, ASCE, New Mexico, May, 2012.
Aneesh Goly, Ramesh S. V. Teegavarapu, Evaluation of Different Climate Change Models for Future Precipitation Projections in Florida, Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.
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 EWRI, 2012, ASCE, New Mexico, May, 2012.
Husayn El. Sharif and Ramesh S. V. Teegavarapu, Evaluation of Spatial Interpolation Methods for Missing Precipitation Data: Preservation of Spatial Statistics, Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.
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, 2010.
Articles in Books
Ramesh S.V. Teegavarapu and Chandra Pathak, Development of Optimal Z-R Relationships, Weather Radar, and Hydrology, IAHS Red Book published by International Association of Hydrological Sciences, United Kingdom, 351, 75-80. 2012. ISBN 978-1-907161-26-1, 672.
Books
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Research Posters
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.
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), 2014. Washington D.C., April 8, 2014.
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. AGU Fall Meeting, San Francisco, 2010.
Ramesh S. V. Teegavarapu, and C. Pathak, Development of Optimal Z-R Relationships, Weather Radar and Hydrology, Exeter, U.K., April 18, 2011.
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
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, World Environmental and Water Resources Congress, 2011.
Ramesh S. V. Teegavarapu, Chandramouli Viswanathan, Pradeep Behera, Variability of Precipitation Extremes and Climate Change: Evaluation using Descriptive Indices, AGU Fall Meeting, 2011.
Ramesh S. V. Teegavarapu, Chandramouli Viswanathan, Ravi Chittamuru, Examining climate change indices using Indiana rainfall data, KWRRI Annual Symposium, 2012.
Ramesh S. V. Teegavarapu, Estimation of Missing Precipitation Data using Soft Computing based Spatial Interpolation Techniques, AGU Fall Meeting, 2007.
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.
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.
Ramesh S. V. Teegavarapu, Meskele, T., Chandra, P., Geo-Spatial Grid-based Transformations of Multi-Sensor Precipitation Estimates, AGU Fall Meeting, 2008.
Ramesh S. V. Teegavarapu, Pradeep Behera, Milla Pierce, Precipitation Characteristics and Climate Variability, EWRI Congress, 2015, Austin,Texas, May 18, 2015.
Ramesh S. V. Teegavarapu, Uncertainty Assessments of Spatially-Interpolated Missing Precipitation Data Estimates, AGU Fall Meeting, San Francisco, December 8-14, 2013. Presented.
Andre Ferreira, Ramesh S. V. Teegavarapu, C. Pathak, Evaluation of Optimal Reflectivity-Rainfall (Z-R) Relationships for Improved Precipitation Estimates, AGU Fall Meeting, 2009.
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.
Aneesh Goly, Ramesh S. V. Teegavarapu Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation, AGU Fall Meeting, 2014. December 15, 2014.
Aneesh Goly, Ramesh S. V. Teegavarapu, Spatial and Temporal Variation of Precipitation Extremes in Florida: Influence of Teleconnections, AGU Fall Meeting, 2011.
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.
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.
Chandramouli Viswanathan, Karim Mohammad, Ramesh S. V. Teegavarapu, Examining Climate Indices in the US Midwest Region to examine droughts, ASCE-EWRI, Environmental and Water Congress, 22 May, 2013, Cincinnati, USA.
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. Research Poster Award Winner.
Husayn El. Sharif, Ramesh S. V. Teegavarapu, Spatial Statistics Preserving Interpolation Methods for Estimation of Missing Precipitation Data, AGU Fall Meeting, 2011.
Noemi-Gonzalez, Ramesh S. V. Teegavarapu, Lin Huang, Evaluation of Spatial and Temporal Distribution of Precipitation Events and their Relation to Peak Flooding Events: AGU Fall Meeting, San Francisco, 2010.
Webinar
A Framework for Assessment of Radar-based Precipitation Data, 2018. Presented to United States Army Corporation of Engineers (USACE).
Technical Reports
Ramesh S. V. Teegavarapu, Design Ideas for a Prototype System Development for Evaluation of Radar Precipitation Estimates, USACE, September, 2018.
Ramesh S. V. Teegavarapu, Data Quality Improvement for NEXRAD and Stage Data: Phase II – HDET, USGS, WRRC, Florida, March 2018.
Ramesh S. V. Teegavarapu, Evaluation of Bias in Radar-based Precipitation Estimates: USACE, November 2017.
Ramesh S. V. Teegavarapu, Quality Assurance Tool (QA Tool) Design, South Florida Water Management District, November 2016,
Ramesh S. V. Teegavarapu, Data Quality Improvement for NEXRAD and Stage Data: Phase II – HDET, South Florida Water Management District, October 2016.
Ramesh S. V. Teegavarapu, Methodologies for Identification of Outliers and Anomalies in Precipitation Data, South Florida Water Management District (SFWMD), May 2016.
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 USACE.
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. Submitted to RCUSS, Kobe University, April 2016.
Ramesh S. V. Teegavarapu, Evaluation of Trends and Variability in Sea Level, Temperature and Precipitation of Japan: Links to Climate Variability and Change, Report submitted to Research Center for Urban Safety and Security (RCUSS), January 2016.
Ramesh S. V. Teegavarapu, Data Quality Improvement for NEXRAD and Stage Data, Final report. SFWMD, October 2015.
Ramesh S. V. Teegavarapu, Development and Evaluation of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydro-Meteorological Data (Phase II: Stage), USGS 104B grant report.
Ramesh S. V. Teegavarapu, Enhancements to Bias Analysis Tool and Application of BAT for Radar Data Assessment, Interim Report, February 2015.
Ramesh S. V. Teegavarapu, Development and Evaluation of Indices for Bias Assessment for Radar-based Rainfall Estimates, WRRC 104B Final Report, USGS. May 2014.
Ramesh S. V. Teegavarapu Development and Assessment of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydrometeorological Data (Phase II: Stage) September 2014.
Ramesh S. V. Teegavarapu Aneesh Goly, Development and Assessment of Data Accuracy Assessment Algorithms for Identifying Anomalies in Hydrometeorological Data (Phase I: Stage), March 2013.
Ramesh S. V. Teegavarapu Bias Assessment Tool – Methodology and Help Manual, SFWMD, 2012.
Ramesh S. V. Teegavarapu Aneesh Goly. Assessment and Evaluation of NEXRAD-based Rainfall Estimates in South Florida Water Management District, SFWMD, 2012.
Ramesh S. V. Teegavarapu, Assessment of Spatial and Temporal Variation of Extreme Precipitation Events in Coastal Basins of SFWMD Region, SFWMD, 2011.
Ramesh S. V. Teegavarapu Spatial and Temporal Distribution of Extreme Precipitation Events and their relation to Peak Flooding, SFWMD, 2010.
Ramesh S. V. Teegavarapu, Comparing NEXRAD Rainfall and Rain Gauge Data in South Florida Water Management District, Report, September 2008: Interim & Final Report
Ramesh S. V. Teegavarapu, NEXRAD Data Improvement Project Report, Report submitted to SFWMD, August 2008, 110 pages: Interim & Final Reports
Ramesh S. V. Teegavarapu, Comparing NEXRAD Rainfall and Rain Gauge Data in South Florida Water Management District, Report, USGS 104B Grant, WRRC, 2008
Ramesh S. V. Teegavarapu, Assessment of In-filling Methods for Estimation of daily Precipitation Records, submitted to South West Florida Water Management District, November 2007.
Software
- Rainfall Analysis and INterpolation (RAIN) – Designed and Developed by Dr. Ramesh Teegavarapu (2012). Available with Book purchase.
RAIN provides several spatial interpolation methods for estimation of missing precipitation data at a site. Analysis of rainfall in space and time is also possible using RAIN. This software can also be used for interpolation of hydrometeorological variables. RAIN software provides over 20 deterministic and stochastic interpolation methods.
- Statistical Evaluation of Extreme Precipitation (SEEP) – Designed and developed by Dr. Ramesh Teegavarapu (2014)
SEEP is a state-of-the-art software for analysis of hydrological time series, especially precipitation extremes. SEEP includes an exhaustive EDA (exploratory data analysis) module also. Not available in public domain.
- TRMM – Precipitation Data Extraction Module – Designed and Developed by Dr. Ramesh Teegavarapu (2014)
This software helps in extracting and processing Tropical Rainfall Monitoring Mission precipitation data.
- Rain Radar Retrieval (R3) – Designed by Dr. Ramesh Teegavarapu. Developed by Dr. T and Mr. Andre Ferreira.
R3 is a comprehensive rainfall and radar retrieval software developed to: 1) obtain rain gage data; 2) process radar-reflectivity values to obtain rainfall totals; 3) evaluate radar data in space and time.
- Bias Assessment Tool (BAT)– Designed by Dr. Ramesh Teegavarapu. Developed by Dr. Ramesh Teegavarapu and Dr. Aneesh Goly
BAT is developed to evaluate radar data using several statistical and performance indices. It is can used for evaluation of hydrologic models and any simulation model-generated results. BAT can be used for forecast verification of precipitation forecasts available from National Weather Service (NWS). Currently used by SFWMD. BAT consists of several error and performance metrics for evaluation of radar data at different temporal and spatial resolutions.
- Grid-based Transformations of Multi-Sensor Precipitation Estimates -Developed by Dr. Teegavarapu.
Evaluation of methods for geometric transformation of HRAP (Hydrologic Research Analysis Project) grid to Cartesian grid Evaluation of available spatial analysis techniques for achieving the transformation Development of multiple spatial transformations/approaches, and test and evaluate the performance of each of these approaches. Implementation of the transformation approach to obtain estimates of rainfall for 2 km x 2km Cartesian grid for the period of interest
