Ph.D., Civil Engineering, 2018, Clemson University
M.Tech., Civil Engineering , 2014, Indian Institute of Technology, Bombay, India
B.Tech., Civil Engineering, 2012, Indian Institute of Technology, Bhubaneswar, India
(Associate Scientist, Earth Sciences)
Email: | goutam.konapala@nasa.gov |
Org Code: | 618 |
Address: |
NASA/GSFC Mail Code 618 Greenbelt, MD 20771 |
Employer: | UNIVERSITY OF MARYLAND BALTIMORE CO |
Ph.D., Civil Engineering, 2018, Clemson University
M.Tech., Civil Engineering , 2014, Indian Institute of Technology, Bombay, India
B.Tech., Civil Engineering, 2012, Indian Institute of Technology, Bhubaneswar, India
USRA/NASA-GFSC - Greenbelt
May 2020 - Present
Oak Ridge National Laboratory - Oak Ridge
October 2017 - May 2020
Hydrology / Water Cycle
Rapid and accurate detection of flood inundation from satellite imagery can aid emergency planning and damage assessment. We develop deep learning frameworks to automate flood inundation mapping from remote sensing imagery
Hydrology / Water Cycle
Incomplete representations of physical processes often lead to structural errors in process-based hydrologic models. Machine learning (ML) algorithms can reduce streamflow modeling errors but do not enforce physical consistency. Therefore, we build hybrid models by integrating process-based hydrologic model outputs with ML algorithm to streamflow simulations across the world
2022. "Quantifying Spatial Drought Propagation Potential in North America Using Complex Network Theory." Water Resources Research 58 (3): [10.1029/2021wr030914] [Journal Article/Letter]
2021. "Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning." ISPRS Journal of Photogrammetry and Remote Sensing 180 163-173 [10.1016/j.isprsjprs.2021.08.016] [Journal Article/Letter]
2020. "Exploring Hydrologic Model Process Connectivity at the Continental Scale Through an Information Theory Approach." Water Resources Research 56 (10): [10.1029/2020wr027340] [Journal Article/Letter]
2020. "Dynamics of virtual water networks: Role of national socio-economic indicators across the world." Journal of Hydrology 589 125171 [10.1016/j.jhydrol.2020.125171] [Journal Article/Letter]
2020. "Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US." Environmental Research Letters 15 (10): 104022 [10.1088/1748-9326/aba927] [Journal Article/Letter]
2020. "Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation." Nature Communications 11 (1): 3044 [10.1038/s41467-020-16757-w] [Journal Article/Letter]
2020. "Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States." Water Resources Research 56 (1): [10.1029/2018wr024620] [Journal Article/Letter]
2017. "Review of complex networks application in hydroclimatic extremes with an implementation to characterize spatio-temporal drought propagation in continental USA." Journal of Hydrology 555 600-620 [10.1016/j.jhydrol.2017.10.033] [Journal Article/Letter]
2017. "Teleconnection between low flows and large-scale climate indices in Texas River basins." Stochastic Environmental Research and Risk Assessment 32 (8): 2337-2350 [10.1007/s00477-017-1460-6] [Journal Article/Letter]
2017. "Changes in temporal variability of precipitation over land due to anthropogenic forcings." Environmental Research Letters 12 (2): 024009 [10.1088/1748-9326/aa568a] [Journal Article/Letter]
2016. "Three-parameter-based streamflow elasticity model: application to MOPEXbasins in the USA at annual and seasonal scales." Hydrology and Earth System Sciences 20 (6): 2545-2556 [10.5194/hess-20-2545-2016] [Journal Article/Letter]