Goutam Konapala

Biographic Data

ID7994057
NAMEGoutam Konapala
GIVEN NAMESGoutam
FAMILY NAMEKonapala
SIGNATUREKONAPALA G
AFFILIATIONSClemson University
ORCID0000-0003-0225-9633
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2020
H-INDEX0

  • Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US

    Open AccessGoutam Konapala, Shih‐Chieh Kao et al.ARTICLEEnvironmental Research Letters2020

    Incomplete representations of physical processes often lead to structural errors in process-based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow modeling errors but do not enforce physical consistency. As a result, ML algorithms may be unreliable if used to provide future hydroclimate projections where climates and land use patterns are outside the range of training data. Here we test hybrid models built by integra…

  • Changes in temporal variability of precipitation over land due to anthropogenic forcings

    Open AccessGoutam Konapala, Ashok K Mishra et al.ARTICLEEnvironmental Research Letters2017

    This study investigated the anthropogenic influence on the temporal variability of annual precipitation for the period 1950–2005 as simulated by the CMIP5 models. The temporal variability of both annual precipitation amount (PRCPTOT) and intensity (SDII) was first measured using a metric of statistical dispersion called the Gini coefficient. Comparing simulations driven by both anthropogenic and natural forcing (ALL) with simulations of natural f…