Dr. Goutam Konapala

Dr. Goutam Konapala

  • Associate Scientist, Earth Sciences
  • NASA/GSFC
  • Employer: UNIVERSITY OF MARYLAND BALTIMORE CO
  • Education

    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

    Positions/Employment

    5/2020 - Present

    Associate Scientist

    USRA/NASA-GFSC, Greenbelt
    10/2018 - 5/2020

    Post doctoral Associate

    Oak Ridge National Laboratory, Oak Ridge

    Current Projects

    Flood Inundation through Deep learning approaches

    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

    Improving streamflow simulations through deep learning approaches

    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

    Research Interests

    Surface Hydrology, Machine learning, High Performance Computing, Earth system modeling, Calibration of large scale computer models

    Selected Publications

    Refereed

    Konapala, G., S. V. Kumar, and S. Khalique Ahmad. 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]

    Konapala, G., S. Kao, and N. Addor. 2020. "Exploring Hydrologic Model Process Connectivity at the Continental Scale Through an Information Theory Approach." Water Resources Research, 56 (10): [10.1029/2020wr027340]

    Konapala, G., and A. Mishra. 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]

    Konapala, G., S.-C. Kao, S. L. Painter, and D. Lu. 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]

    Konapala, G., A. K. Mishra, Y. Wada, and M. E. Mann. 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]

    Konapala, G., and A. Mishra. 2020. "Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States." Water Resources Research, 56 (1): [10.1029/2018wr024620]

    Konapala, G., and A. Mishra. 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]

    Konapala, G., A. Valiya Veettil, and A. K. Mishra. 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]

    Konapala, G., A. Mishra, and L. R. Leung. 2017. "Changes in temporal variability of precipitation over land due to anthropogenic forcings." Environmental Research Letters, 12 (2): 024009 [10.1088/1748-9326/aa568a]

    Konapala, G., and A. K. Mishra. 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]

    Selected Publications

    Refereed

    Konapala, G., S. V. Kumar, and S. Khalique Ahmad. 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]

    Konapala, G., S. Kao, and N. Addor. 2020. "Exploring Hydrologic Model Process Connectivity at the Continental Scale Through an Information Theory Approach." Water Resources Research 56 (10): [10.1029/2020wr027340]

    Konapala, G., and A. Mishra. 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]

    Konapala, G., S.-C. Kao, S. L. Painter, and D. Lu. 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]

    Konapala, G., A. K. Mishra, Y. Wada, and M. E. Mann. 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]

    Konapala, G., and A. Mishra. 2020. "Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States." Water Resources Research 56 (1): [10.1029/2018wr024620]

    Konapala, G., and A. Mishra. 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]

    Konapala, G., A. Valiya Veettil, and A. K. Mishra. 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]

    Konapala, G., A. Mishra, and L. R. Leung. 2017. "Changes in temporal variability of precipitation over land due to anthropogenic forcings." Environmental Research Letters 12 (2): 024009 [10.1088/1748-9326/aa568a]

    Konapala, G., and A. K. Mishra. 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]

                                                                                                                                                                                            
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