Sudershan Gangrade
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Effects of climate change on streamflow extremes and implications for reservoir inflow in the United States
BS Naz, SC Kao, M Ashfaq, H Gao, D Rastogi, S Gangrade
Journal of Hydrology 556, 359-370, 2018
TRITON: A Multi-GPU open source 2D hydrodynamic flood model
M Morales-HernŠndez, MB Sharif, A Kalyanapu, SK Ghafoor, TT Dullo, ...
Environmental Modelling & Software 141, 105034, 2021
High‐resolution ensemble projections of near‐term regional climate over the continental United States
M Ashfaq, D Rastogi, R Mei, SC Kao, S Gangrade, BS Naz, D Touma
Journal of Geophysical Research: Atmospheres 121 (17), 9943-9963, 2016
Streamflow simulation in data-scarce basins using Bayesian and physics-informed machine learning models
D Lu, G Konapala, SL Painter, SC Kao, S Gangrade
Journal of Hydrometeorology 22 (6), 1421-1438, 2021
Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama‐Coosa‐Tallapoosa River Basin
D Rastogi, SC Kao, M Ashfaq, R Mei, ED Kabela, S Gangrade, BS Naz, ...
Journal of Geophysical Research: Atmospheres 122 (9), 4808-4828, 2017
High-performance computing in water resources hydrodynamics
M Morales-HernŠndez, MB Sharif, S Gangrade, TT Dullo, SC Kao, ...
Journal of Hydroinformatics 22 (5), 1217-1235, 2020
Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment
S Gangrade, SC Kao, TT Dullo, AJ Kalyanapu, BL Preston
Journal of Hydrology 576, 342-355, 2019
Sensitivity of Probable Maximum Flood in a Changing Environment
S Gangrade, SC Kao, BS Naz, D Rastogi, M Ashfaq, N Singh, BL Preston
Water Resources Research, 2018
Multi-model hydroclimate projections for the Alabama-Coosa-Tallapoosa River Basin in the southeastern United States
S Gangrade, SC Kao, RA McManamay
Scientific reports 10 (1), 2870, 2020
Performance Evaluation of a Two-Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures
MB Sharif, SK Ghafoor, TM Hines, M Morales-Hernšndez, KJ Evans, ...
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-9, 2020
Simulation of Hurricane Harvey flood event through coupled hydrologic‐hydraulic models: Challenges and next steps
TT Dullo, S Gangrade, M Morales‐HernŠndez, MB Sharif, SC Kao, ...
Journal of Flood Risk Management 14 (3), e12716, 2021
Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling
TT Dullo, GK Darkwah, S Gangrade, M Morales-HernŠndez, MB Sharif, ...
Natural Hazards and Earth System Sciences 21 (6), 1739-1757, 2021
Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed
X Li, C Rankin, S Gangrade, G Zhao, K Lander, N Voisin, M Shao, ...
Journal of Hydrology 603, 127126, 2021
Machine learning assisted reservoir operation model for long‐term water management simulation
S Gangrade, D Lu, SC Kao, SL Painter
JAWRA Journal of the American Water Resources Association 58 (6), 1592-1603, 2022
Will future climate change increase the risk of violating minimum flow and maximum temperature thresholds below dams in the Pacific Northwest?
HI Jager, AW King, S Gangrade, A Haines, C DeRolph, BS Naz, M Ashfaq
Climate Risk Management 21, 69-84, 2018
Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey
X Li, D Fu, J Nielsen-Gammon, S Gangrade, SC Kao, P Chang, ...
Journal of Hydrology 616, 128774, 2023
The Third Assessment of the Effects of Climate Change on Federal Hydropower
SC Kao, M Ashfaq, D Rastogi, S Gangrade, R Uria Martinez, A Fernandez, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2022
Evaluating Enhanced Reservoir Evaporation Losses From CMIP6‐Based Future Projections in the Contiguous United States
B Zhao, SC Kao, G Zhao, S Gangrade, D Rastogi, M Ashfaq, H Gao
Earth's Future 11 (3), e2022EF002961, 2023
Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States
GR Ghimire, C Hansen, S Gangrade, SC Kao, PE Thornton, D Singh
Water Resources Research 59 (2), e2022WR032312, 2023
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification
M Fan, S Liu, D Lu, S Gangrade, SC Kao
Environmental Modelling & Software 170, 105849, 2023
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