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- Subhrendu Gangopadhyay
Subhrendu Gangopadhyay
Reclamation Office: Technical Service Center, Water Resources Planning and Operations Support
Contact Information: (303) 445-2465, sgangopadhyay@usbr.gov
Research Funded by the Science and Technology Program
Subhrendu Gangopadhyay began doing research for the Science and Technology Program in the 2011 fiscal year, with funding provided by the program as recently as the 2023 fiscal year. Projects were funded under the Science and Technology Program research topics Water Supply Forecasting, Water Operation Models and Decision Support Systems, Water Resource Data Analysis and Managing Hydrologic Events.
The following research projects were funded in whole or in part by the Science and Technology Program. Subhrendu Gangopadhyay is listed as the principal investigator, or primary researcher. Click the project's title to view more information.
Stochastic Streamflow Generation: A Complementary Approach for Hydroclimate Projections in Hydrologically Complex Basins
Project ID: 23035
Fiscal Year of Funding: 2023 (with plans to continue through 2025)
Research Results:
contact Subhrendu Gangopadhyay
A Collaborative Stochastic Weather Generator for Climate Impacts Assessment
Project ID: 21039
Fiscal Year of Funding: 2021
Research Results:
Please contact research@usbr.gov
about research products related to this project.
Exploring the possibilities of improving flood frequency analysis in the West by incorporating paleohydrologic reconstructions
Project ID: 20056
Fiscal Years of Funding: 2020 - 2022
Research Results:
Please contact research@usbr.gov
about research products related to this project.
Importance of Temporal and Spatial Scale on Basin-Scale Groundwater Recharge Estimates in Historical and Projected Climate Change Conditions
Project ID: 9037
Fiscal Year of Funding: 2016
Research Results:
- Importance of Temporal and Spatial Scale on Basin-Scale Groundwater Recharge Estimates in Historical and Projected Climate Change Conditions (final, PDF, 7.6MB)
- Importance of Temporal and Spatial Scale on Basin-Scale Groundwater Recharge Estimates in Historical and Projected Climate Change Conditions (final, PDF, 7.6MB)
- Importance of Temporal and Spatial Scale on Basin-Scale Groundwater Recharge Estimates inHistorical and Projected Climate Change Conditions (final, PDF, 7.6MB)
Soil-Water-Balance Recharge Estimates for the Upper Colorado River Basin under Climate Change
Project ID: 2005
Fiscal Years of Funding: 2015 - 2016
Research Results:
- Soil-Water-Balance Recharge Estimates for the Upper Colorado River Basin under Climate Change (final, PDF, 1.9MB)
- Changes in Projected Spatial and Seasonal Groundwater Recharge in the Upper Colorado River Basin (final, PDF, 1.9MB)
- Changes in groundwater recharge under projected climate in the Upper Colorado River Basin (final, PDF, 1.9MB)
- Understanding the past to interpret the future: comparison of simulated groundwater recharge in the upper Colorado River basin using observed and GCM historical climate data (final, PDF, 1.9MB)
- Quantifying Projected Changes in Groundwater Recharge in the Upper Colorado River Basin (final, PDF, 1.9MB)
Analysis of infrequent large groundwater recharge events: Their importance for long-term groundwater availability, use, and management
Project ID: 5424
Fiscal Years of Funding: 2014 - 2015
Research Results:
Please contact research@usbr.gov
about research products related to this project.
Flood Frequency Variability on Seasonal to Multidecadal Time Scales in the Western US and Implications for Infrastructure Planning
Project ID: 1916
Fiscal Years of Funding: 2013 - 2015
Research Results:
Forecasting Extreme Flooding Events (final, PDF, 651KB)
Forecasting Crop Irrigation Water Requirements
Project ID: 1472
Fiscal Year of Funding: 2014
Research Results:
Forecasting Crop Irrigation Water Requirements (final, PDF, 507KB)
Understanding how Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projection Downscaling
Project ID: 675
Fiscal Years of Funding: 2011 - 2012
Research Results:
- How Does the Choice of Distributed Meteorological Data Affect Hydrologic Model Calibration and Streamflow Simulations? (final, PDF, 3.5MB)
- Choosing the Right Meteorological Dataset for Hydrologic Simulations (final, PDF, 3.5MB)
West-Wide Drought Assessment Using Paleoclimate and Bias-Correction Spatial Disaggregation (BCSD) ... Climate Projections
Project ID: 99
Fiscal Year of Funding: 2012
Research Results:
Drought Assessment Using Paleoclimate and BCSD-CMIP3 Climate Projections (final, PDF, 324KB)