Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin

Several satellite-based and reanalysis products with a high spatial and temporal resolution have become available in recent decades, making it worthwhile to study the performance of multiple precipitation forcing data on hydrological modeling. This study aims to examine the veracity of five precipit...

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Main Authors: Jamal Hassan Ougahi, Syed Amer Mahmood
Format: Article
Language:English
Published: IWA Publishing 2022-03-01
Series:Journal of Water and Climate Change
Subjects:
Online Access:http://jwcc.iwaponline.com/content/13/3/1563
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author Jamal Hassan Ougahi
Syed Amer Mahmood
author_facet Jamal Hassan Ougahi
Syed Amer Mahmood
author_sort Jamal Hassan Ougahi
collection DOAJ
description Several satellite-based and reanalysis products with a high spatial and temporal resolution have become available in recent decades, making it worthwhile to study the performance of multiple precipitation forcing data on hydrological modeling. This study aims to examine the veracity of five precipitation products employing a semi-distributed hydrological model, i.e., the Soil and Water Assessment Tool (SWAT) to simulate streamflow over the Chenab River Basin (CRB). The performance indices such as coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE) and percentage bias (PBIAS) were used to compare observed and simulated streamflow at daily and monthly scales during calibration (2015–2018) and validation (2019–2020). The hydrologic performance of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA) 5-Land (ERA5) was very good at daily (calibration R2=0.83, NSE=0.81, PBIAS=−6%; validation R2=0.75, NSE=0.74, PBIAS=−9.6%) and monthly ( calibration R2=0.94, NSE=0.94, PBIAS=−3.3%; validation R2=0.91, NSE=0.89, PBIAS=−3.2%) scales. This study suggests that the ERA5 precipitation product was the most reliable of the five precipitation products, while the CHIRPS performance was the worst. These findings contribute to highlighting the performance of five precipitation products and reference in the selection of precipitation data as input data to the SWAT model in similar regions. HIGHLIGHTS This study evaluates the suitability of precipitation products in modeling runoff at a basin scale.; Five precipitation products (ERA5, CFSR, MERRA2, PERSIANN-CDR and CHIRPS) were evaluated for streamflow simulation.; The streamflow simulated from reanalysis showed better performance than satellite-based precipitation datasets.; Only ERA5 and CFSR data showed good performance, while CHIRPS performs worst.;
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spelling doaj.art-6bd307acde364e199b0cf070b8dc37192022-12-22T02:56:07ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542022-03-011331563158210.2166/wcc.2022.410410Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basinJamal Hassan Ougahi0Syed Amer Mahmood1 Geography & Environmental Science, School of Social Sciences, Dundee, DD1 4HN Scotland, UK Department of Space Science, University of the Punjab, Lahore, Pakistan Several satellite-based and reanalysis products with a high spatial and temporal resolution have become available in recent decades, making it worthwhile to study the performance of multiple precipitation forcing data on hydrological modeling. This study aims to examine the veracity of five precipitation products employing a semi-distributed hydrological model, i.e., the Soil and Water Assessment Tool (SWAT) to simulate streamflow over the Chenab River Basin (CRB). The performance indices such as coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE) and percentage bias (PBIAS) were used to compare observed and simulated streamflow at daily and monthly scales during calibration (2015–2018) and validation (2019–2020). The hydrologic performance of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA) 5-Land (ERA5) was very good at daily (calibration R2=0.83, NSE=0.81, PBIAS=−6%; validation R2=0.75, NSE=0.74, PBIAS=−9.6%) and monthly ( calibration R2=0.94, NSE=0.94, PBIAS=−3.3%; validation R2=0.91, NSE=0.89, PBIAS=−3.2%) scales. This study suggests that the ERA5 precipitation product was the most reliable of the five precipitation products, while the CHIRPS performance was the worst. These findings contribute to highlighting the performance of five precipitation products and reference in the selection of precipitation data as input data to the SWAT model in similar regions. HIGHLIGHTS This study evaluates the suitability of precipitation products in modeling runoff at a basin scale.; Five precipitation products (ERA5, CFSR, MERRA2, PERSIANN-CDR and CHIRPS) were evaluated for streamflow simulation.; The streamflow simulated from reanalysis showed better performance than satellite-based precipitation datasets.; Only ERA5 and CFSR data showed good performance, while CHIRPS performs worst.;http://jwcc.iwaponline.com/content/13/3/1563cfsrchirpsera5merra2persiann-cdrswat model
spellingShingle Jamal Hassan Ougahi
Syed Amer Mahmood
Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin
Journal of Water and Climate Change
cfsr
chirps
era5
merra2
persiann-cdr
swat model
title Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin
title_full Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin
title_fullStr Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin
title_full_unstemmed Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin
title_short Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin
title_sort evaluation of satellite based and reanalysis precipitation datasets by hydrologic simulation in the chenab river basin
topic cfsr
chirps
era5
merra2
persiann-cdr
swat model
url http://jwcc.iwaponline.com/content/13/3/1563
work_keys_str_mv AT jamalhassanougahi evaluationofsatellitebasedandreanalysisprecipitationdatasetsbyhydrologicsimulationinthechenabriverbasin
AT syedamermahmood evaluationofsatellitebasedandreanalysisprecipitationdatasetsbyhydrologicsimulationinthechenabriverbasin