Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model DOI
Praveen Kalura, Ashish Pandey, V. M. Chowdary

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(9)

Published: Sept. 1, 2024

Abstract Significant advancements in satellite‐based precipitation retrieval algorithms have led to the development of continuous, quasi‐global products, offering unique opportunities for hydrometeorological and climate research. In this context, six products (SPPs), including CHIRPS, CMORPH, GSMaP, IMERG, MSWEP, PERSIANN, were thoroughly investigated their application hydrological simulations over Wardha River basin India. The observed gridded product developed by India Meteorological Department (IMD) has been used as reference data evaluate performance SPPs. Hydrological variables such runoff, soil moisture (SM) evapotranspiration (ET) simulated using Variable Infiltration Capacity model. performances SPPs are critically assessed various statistical metrics, Pearson's correlation coefficient ( R ), Klinga‐Gupta Efficiency (KGE), Percent Bias (PBIAS), root mean square error (RMSE), RMSE standard deviation ratio (RSR). model‐simulated discharge was compared with streamflow observations at a single gauging site, while spatially distributed comparison conducted between SM ET ET. IMD dataset consistently shows superior simulation both daily monthly scales, KGE values 0.85 0.91, respectively. Among SPPs, MSWEP CHIRPS excel simulating discharge, For simulation, outperforms other achieving an overall value 0.37. contrast, PERSIANN is most effective products.

Language: Английский

Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model DOI
Praveen Kalura, Ashish Pandey, V. M. Chowdary

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(9)

Published: Sept. 1, 2024

Abstract Significant advancements in satellite‐based precipitation retrieval algorithms have led to the development of continuous, quasi‐global products, offering unique opportunities for hydrometeorological and climate research. In this context, six products (SPPs), including CHIRPS, CMORPH, GSMaP, IMERG, MSWEP, PERSIANN, were thoroughly investigated their application hydrological simulations over Wardha River basin India. The observed gridded product developed by India Meteorological Department (IMD) has been used as reference data evaluate performance SPPs. Hydrological variables such runoff, soil moisture (SM) evapotranspiration (ET) simulated using Variable Infiltration Capacity model. performances SPPs are critically assessed various statistical metrics, Pearson's correlation coefficient ( R ), Klinga‐Gupta Efficiency (KGE), Percent Bias (PBIAS), root mean square error (RMSE), RMSE standard deviation ratio (RSR). model‐simulated discharge was compared with streamflow observations at a single gauging site, while spatially distributed comparison conducted between SM ET ET. IMD dataset consistently shows superior simulation both daily monthly scales, KGE values 0.85 0.91, respectively. Among SPPs, MSWEP CHIRPS excel simulating discharge, For simulation, outperforms other achieving an overall value 0.37. contrast, PERSIANN is most effective products.

Language: Английский

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