Cikkek nyilvánosan hozzáférhető megbízással - Alfred KalyanapuTovábbi információ
Sehol sem hozzáférhető: 1
Predicting Channel Conveyance in the Obion River Watershed Using SAMBLE Method
MNM Bhuyian, A Kalyanapu
Journal of Hydrologic Engineering 25 (2), 05019033, 2020
Megbízások: US Department of Agriculture
Valahol hozzáférhető: 11
TRITON: A Multi-GPU open source 2D hydrodynamic flood model
M Morales-Hernández, MB Sharif, A Kalyanapu, SK Ghafoor, TT Dullo, ...
Environmental Modelling & Software 141, 105034, 2021
Megbízások: US Department of Energy, US Department of Defense
High-performance computing in water resources hydrodynamics
M Morales-Hernández, MB Sharif, S Gangrade, TT Dullo, SC Kao, ...
Journal of Hydroinformatics 22 (5), 1217-1235, 2020
Megbízások: US Department of Energy, US Department of Defense
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
Megbízások: US Department of Energy, US Department of Defense
Pygee-swtoolbox: A python jupyter notebook toolbox for interactive surface water mapping and analysis using google earth engine
C Owusu, NJ Snigdha, MT Martin, AJ Kalyanapu
Sustainability 14 (5), 2557, 2022
Megbízások: US Department of Agriculture
Simulation of Hurricane Harvey flood event through coupled hydrologic‐hydraulic models: Challenges and next steps
TT Dullo, S Gangrade, M Morales‐Hernández, MB Sharif, SC Kao, ...
Journal of Flood Risk Management 14 (3), e12716, 2021
Megbízások: US Department of Energy, US Department of Defense
Assessing climate change-induced flood risk in the Conasauga river watershed: an application of ensemble hydrodynamic inundation modeling
TT Dullo, S Gangrade, M Morales-Hernández, MB Sharif, AJ Kalyanapu, ...
Natural Hazards and Earth System Sciences Discussions 2020, 1-54, 2020
Megbízások: US Department of Energy, US Department of Defense
Performance evaluation of a two-dimensional flood model on heterogeneous high-performance computing architectures
MB Sharif, SK Ghafoor, TM Hines, M Morales-Hernändez, KJ Evans, ...
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-9, 2020
Megbízások: US Department of Energy, US Department of Defense
Predicting channel conveyance and characterizing planform using river bathymetry via satellite image compilation (RiBaSIC) algorithm for DEM-based hydrodynamic modeling
MNM Bhuyian, A Kalyanapu
Remote Sensing 12 (17), 2799, 2020
Megbízások: US Department of Agriculture
Unraveling the 2021 Central Tennessee flood event using a hierarchical multi-model inundation modeling framework
S Gangrade, GR Ghimire, SC Kao, M Morales-Hernández, AA Tavakoly, ...
Journal of Hydrology 625, 130157, 2023
Megbízások: US Department of Energy, US Department of Defense
Multiscale observation product (mop) for temporal flood inundation mapping of the 2015 dallas texas flood
E Sava, G Cervone, A Kalyanapu
Remote Sensing 15 (6), 1615, 2023
Megbízások: US Department of Defense
High Performance Computing in hydraulics: the new era of flood forecasting
M Morales Hernandez, MB Sharif, S Gangrade, TT Dullo, SC Kao, ...
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2019
Megbízások: US Department of Energy, US Department of Defense
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