Dr. SATISH REGONDA


satish

Satish Regonda

Assistant Professor
Department of Civil Engineering
Email: satishr.at.iith.ac.in
Phone: +91-40-2301-7005

Areas of Interest:

Urban Flood Modeling, Understanding of surface hydrology and developing efficient solutions/tools, Hydrologic data base development in India, Scientific understanding of hydroclimatologic processes under changing/new regimes, Increase water awareness across various stakeholders, Hydrologic forecasting techniques/systems, Products to assist in decision making, Urban climate, Statistics, R and Shiny.

Education:

Ph. D., University of Colorado at Boulder, Colorado, USA (September, 2006)

Thesis title: Intra-annual to Inter-decadal variability in the Upper Colorado Hydroclimatology: Diagnosis, Forecasting and implications for Water Resources Management

M.Tech., Indian Institute of Technology Kanpur, India (August, 2002)

Thesis title: Investigation of Chaotic behavior in the Hydrologic Time series

B.Tech., Kakatiya Institute of Technology and Sciences, Warangal, India (June, 2000)

Project title: Computerized Stochastic Modeling of Annual Stream Flow of River Krishna

Work Experience:

Assistant Professor, Indian Institute of Technology Hyderabad, (February, 2017 – current)

Associate Research Scientist, Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA (March, 2015 – December, 2016)

Hydroclimate Consultant, World Bank, Washington, DC, USA (May, 2014 – December, 2016)

Research Hydrologist, Office of Hydrologic Development, NWS/NOAA, Silver Spring, MD, USA (October, 2007 – November, 2013)

National Research Council Postdoctoral Research Associate, Office of Hydrologic Development, NOAA, Silver Spring, MD, USA (October, 2006- October, 2007)

 

Publications

A. In Referred Journals

Regonda, S.K., B. F. Zaitchik, H.S. Badr, and M. Rodell, Using Climate Regionalization to Understand Climate Forecast System Version 2 (CFSV2) Precipitation Performance for the Conterminous United States (CONUS), Geophys. Res. Lett., 43, 6485 – 6492, doi:10.1002/2016GL069150, 2016

Brown, J. D., L. Wu, M. He, S. K. Regonda, H. Lee, D.-J. Seo, Verification of Temperature, Precipitation and Streamflow Forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 1. Experimental Design and Forcing Verification, Journal of Hydrology, 519, doi:10.1016/j.jhydrol.2014.05.030, 2014

Brown, J. D., M. He, S. K. Regonda, L. Wu, H. Lee, D.-J. Seo, Verification of Temperature, Precipitation and Streamflow Forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 2. Streamflow Verification, Journal of Hydrology, 519, doi:10.1016/j.jhydrol.2014.05.030, 2014

Regonda, S.K., D.-J. Seo, B. Lawrence, J.D. Brown, J. Demargne, Short-term Ensemble Streamflow Forecasting Using Operationally-Produced Single-valued Streamflow Forecasts – A Hydrologic Model Output Statistics (HMOS) Approach, Journal of Hydrology, 497, http://dx.doi.org/10.1016/j.jhydrol.2013.05.028, 2013.

Demargne et al., The Science of NOAA’s Operational Hydrologic Ensemble Forecast Service, Bulletin of American Meteorological Society, http://dx.doi.org/10.1175/BAMS-D-12-00081.1, 2013.

Regonda, S.K., E. Zagona, and B. Rajagopalan, Prototype Decision Support System for Operations on the Gunnison Basin with Improved Forecasts, Journal of Water Resources Planning and Management,137, 2011 [http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0000133].

Regonda, S. K., B. Rajagopalan, M. Clark, A New Method to Produce Categorical Streamflow Forecasts, Water Resources Research, W09501, 2006.

Regonda, S. K., B. Rajagopalan, M. Clark, and E. Zagona, Multi-model Ensemble Forecast of Spring Seasonal Flows in the Gunnison River Basin, Water Resources Research, 42, W09404, 2006 [http://onlinelibrary.wiley.com/doi/10.1029/2005WR004653/full].

Regonda, S. K., B. Rajagopalan, U. Lall, M. Clark and Y. Moon, Local Polynomial Method for Ensemble Forecast of Time Series, Nonlinear Processes in Geophysics, Special issue on “Nonlinear Deterministic Dynamics in Hydrologic Systems: Present Activities and Future Challenges”, 12, 397-406, 2005 [http://www.nonlin-processes-geophys.net/12/397/2005/npg-12-397-2005.pdf].

Regonda, S. K., B. Rajagopalan, M. Clark, and J. Pitlick, Seasonal Cycle Shifts in Hydroclimatology Over the Western US, Journal of Climate, 18, http://dx.doi.org/10.1175/JCLI-3272.1, 2005.

Regonda, S. K., Sivakumar, B, and Jain, A., Temporal Scaling in River Flow: Can it be Chaotic?, Hydrological Sciences, 49(3), 373-385, 2004.

B. Products

A web-based streamflow forecasts’ diagnostic and post-processing tool, Hydro-EMOS

A web-based poverty visualization and analysis tool

C. Presentations at Conferences

Phanindra KBVN and S.K. Regonda, Decision Support Tools for Real-time Management of Water Resources: Opportunities and Challenges in Urban Context, Visakhapatnam Urban Observatory Workshop, Visakhapatnam, Andhra Pradesh, India, 21 March 2017

Demargne J., J.D. Brown, L. Wu, S.K. Regonda, M. He, M. Fresch, D.-J, Seo, Short-to-Long Range Hydrologic Ensemble Forecast Service in the U.S. National Weather Service, the Centre for Australian Weather and Climate Research (CAWCR) Workshop, Melbourne, Australia, October 21 – 23 2013.

Regonda S.K, Ensemble Postprocessor (EnsPost): Science Details of EnsPost Technique and EnsPostPE Control Options, HEFS Training Workshop (3), National Weather Service, Silver Spring, MD, April 30 – May 2, 2013

Demargne J., J.D. Brown, L. Wu, S.K. Regonda, M. He, M. Fresch, Hydrologic Ensemble Forecast Service for Operational Short-to-Long Range Hydrometeorological and Hydrologic Ensembles in the U.S. National Weather Service, European Geophysical Union (EGU) General Assembly, Vienna, Austria, April 7-12, 2013.

Regonda S.K, Ensemble Postprocessor (EnsPost) Calibration: Software Demonstration and Scientific Guidance, HEFS Training Workshop (2), National Weather Service, Silver Spring, MD, September 17 – 21, 2012

Regonda S.K, Ensemble Postprocessor, HEFS Training Workshop (1), National Weather Service, Silver Spring, MD, March 20 – 22, 2012

Regonda S.K, J.D. Brown, J. Demargne, and D.-J. Seo, Evaluation of a Gaussian Regression Based Streamflow Postprocessor Using Simulated Streamflows for Test Basins in the Southeast U.S., HEPEX International Workshop on Post-processing and Verification of Hydrological Ensemble Predictions, Delft, the Netherlands, June 7-9, 2011.

Demargne J., L. Wu, S.K. Regonda, and J.D. Brown, Verification of Experimental Short-term Streamflow Ensemble Forecasts Produced by the U.S. National Weather Service, American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 13-17, 2010.

Seo, D.-J., J. Demargne, L. Wu, Y. Liu, J.D. Brown, S.K. Regonda, and H. Lee, Hydrologic ensemble prediction for risk-based water resources management and hazard mitigation, 3rd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (JFIC2010), Las Vegas, NV, June 27 – July 1, 2010.

Regonda, S.K, D.-J. Seo, and B. Lawrence, Short-term Ensemble Streamflow Forecasting Using Operationally-Produced Single-valued Streamflow Forecasts, European Geophysical Union (EGU) General Assembly, Vienna, Austria, May 3-7, 2010.

Regonda, S.K., H. Herr, B. Lawrence, and D.-J. Seo, Short-term Ensemble Streamflow Forecasting – A Hydrologic Model Output Statistics (HMOS) Approach, American Geophysical Union Fall Meeting, San Francisco, CA, December 15- December 19, 2008.

Schaake, J. C., R. Hartman, K. Werner, S.K. Regonda, and J. Brown, Post-Processing Hydrologic Ensemble Forecasts to fix Bias and Spread Problems, American Geophysical Union Fall Meeting, San Francisco, CA, December 15- December 19, 2008.

Regonda, S.K., and D.-J. Seo, Statistical Post Processing of Streamflow Ensembles to Improve Reliability over a Wide Range of Time scale, poster presentation at the Climate Prediction Program for the Americas Meeting, Silver Spring, MD, September 29 – October 1, 2008.

Regonda, S.K., H. Herr, B. Lawrence, and D.-J. Seo, Hydrologic Model Output Statistics (HMOS) Streamflow Ensemble Processor, National Development and Operations Hydrologist (DOH) Workshop, Silver Spring, MD, July 15-July 17, 2008.

Schaake, J. C., R. Hartman, J. Brown, D.-J. Seo and S.K. Regonda, A Post-Processor for Hydrologic Ensemble Forecast Products, National Development and Operations Hydrologist (DOH) Workshop, Silver Spring, MD, July 15-July 17, 2008.

Schaake, J. C., R. Hartman, J. Brown, D.-J. Seo and S.K. Regonda, A Post-Processor for Hydrologic Ensemble Forecasts, European Geosciences Union, Vienna, Austria, April 13-April 18, 2008.

Demargne, J., D.-J. Seo, L. Wu, J. Brown, S.K. Regonda, and H. Lee, Short-Term Ensemble Activities, COMET Advanced Hydrologic Sciences Course, UCAR, Boulder, CO, May 15-May 24, 2007.

Regonda, S. K., B. Rajagopalan, M. Clark, and E. Zagona, Statistical Multimodel Ensemble Forecasting Technique: Application to Spring Flows in the Gunnison River Basin, River Forecast Center Short-Term Ensemble Workshop, National Weather Service, Silver Spring, MD, November 28- November 30, 2006.

Regonda, S. K., B. Rajagopalan, U. Lall, M. Clark and Y. Moon, Local Polynomial Method for Ensemble Forecast of Time Series, poster presentation at the American Geophysical Union Fall Meeting, San Francisco, CA, December 5- December 9, 2005.

Regonda, S. K., B. Rajagopalan, M. Clark, and E. Zagona, Multi-model Ensemble Forecast of Spring Seasonal Flows in the Gunnison River Basin”, American Geophysical Union Spring Meeting, New Orleans, LA, May 23-May 27, 2005.

Regonda, S. K., B. Rajagopalan, M. Clark, and J. Pitlick, Seasonal Cycle Shifts in Hydroclimatology over the Western US, American Geophysical Union, Hydrology Days, Fort Collins, CO, Mar 10- Mar 12, 2004.

Regonda, S. K., B. Rajagopalan and K. Strzepek, Storage Analysis Using Stochastic Nonparametric Streamflow Simulation: Case Study of the Proposed Seaman Reservoir Expansion in Northern Colorado, American Geophysical Union, Hydrology Days, Fort Collins, CO, Mar 31 – Apr 2, 2003.

D. Book Chapter

Rajagopalan, B., K. Grantz, S. K. Regonda, M. Clark and E. Zagona, Ensemble Streamflow Forecasting: Methods and Applications, in Advances in Water Science Methodologies Ed by U. Aswathanarayana, Taylor and Francis, Netherlands, 2005.

Courses Taught:

  • Fluid Mechanics Lab (CE2031), Department of Civil Engineering, IIT Hyderabad (August 2017)
  • Engineering Hydrology and Hydrologic Systems (CE 6500), Department of Civil Engineering, IIT Hyderabad (August 2017)

 

Two PhD Positions are available funded through following projects starting from August 2019.

1. Urban Flood Modeling – A Web-based decision tool. The project supported by the Department of Science & Technology, DST, SPLICE, Climate Change Programme. This is a collaborative project between IIT Hyderabad and IIT Bhubaneswar.

2. An Experimental Operational Hydrologic Modeling and Forecasting System for River Basin Hydrology and Extremes for India. The project supported under Monsoon Mission of Indian Institute of Tropical Meteorology (IITM), Earth System Sciences Organization (ESSO) of Ministry of Earth Sciences (MoES), Government of India. This is a collaborative project with University of Colorado at Boulder and IIT Gandhinagar.

If interested please write to me. PhD admissions related information can be found at https://www.iith.ac.in/phdadmissions/, and the last date to submit the application form is 23 April 2019 (4 pm IST).