Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin

Study region: This research is carried out in the Kabompo Basin, a headwater catchment of the Zambezi Basin which has an area of 67,261 km2. Kabompo River originates in North-Western Province of Zambia between the Zambezi and Congo River Basins. Study focus: This study focuses on error propagation o...

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Autores principales:	W. Gumindoga, T.H.M. Rientjes, A.T. Haile, P. Reggiani, H. Makurira
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Bias correction Error Model calibration Objective functions Water balance Zambezi basin Physical geography GB3-5030 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/a9a9476dd95d4456b973dcb476a0053b
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spelling	oai:doaj.org-article:a9a9476dd95d4456b973dcb476a0053b2021-11-28T04:32:28ZPropagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin2214-581810.1016/j.ejrh.2021.100966https://doaj.org/article/a9a9476dd95d4456b973dcb476a0053b2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2214581821001956https://doaj.org/toc/2214-5818Study region: This research is carried out in the Kabompo Basin, a headwater catchment of the Zambezi Basin which has an area of 67,261 km2. Kabompo River originates in North-Western Province of Zambia between the Zambezi and Congo River Basins. Study focus: This study focuses on error propagation of the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center-MORPHing (CMORPH) rainfall product on simulated streamflow. Assessments are based on automated multi-objective calibration of the Representative Elementary Watershed (REW) model (2006–2012). Parameters of the model were optimized using the ɛ-NSGAII algorithm. Assessments on error propagation targeted streamflow modelling for hydrograph shape and volume, specific hydrograph characteristics, and water balance composition. New hydrological insights for the region: By use of multiple objective functions, this study shows that uncorrected CMORPH results in substantial augmentation of rainfall error to streamflow simulation mismatch whereas bias corrected estimates result in attenuation of error. This study shows that analysis for water balance composition has great potential to improve application of satellite precipitation products in water management and decision making in the Zambezi basin. This study advises optimization of model parameters for each respective rainfall input data source so to identify outcomes and effects of respective rainfall data sources on the simulated water balance. Optimization of parameter sets by ɛ -NSGAII results in optimal parameter sets that attributes to findings on the water balance composition and closure.W. GumindogaT.H.M. RientjesA.T. HaileP. ReggianiH. MakuriraElsevierarticleBias correctionErrorModel calibrationObjective functionsWater balanceZambezi basinPhysical geographyGB3-5030GeologyQE1-996.5ENJournal of Hydrology: Regional Studies, Vol 38, Iss , Pp 100966- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bias correction Error Model calibration Objective functions Water balance Zambezi basin Physical geography GB3-5030 Geology QE1-996.5
spellingShingle	Bias correction Error Model calibration Objective functions Water balance Zambezi basin Physical geography GB3-5030 Geology QE1-996.5 W. Gumindoga T.H.M. Rientjes A.T. Haile P. Reggiani H. Makurira Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin
description	Study region: This research is carried out in the Kabompo Basin, a headwater catchment of the Zambezi Basin which has an area of 67,261 km2. Kabompo River originates in North-Western Province of Zambia between the Zambezi and Congo River Basins. Study focus: This study focuses on error propagation of the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center-MORPHing (CMORPH) rainfall product on simulated streamflow. Assessments are based on automated multi-objective calibration of the Representative Elementary Watershed (REW) model (2006–2012). Parameters of the model were optimized using the ɛ-NSGAII algorithm. Assessments on error propagation targeted streamflow modelling for hydrograph shape and volume, specific hydrograph characteristics, and water balance composition. New hydrological insights for the region: By use of multiple objective functions, this study shows that uncorrected CMORPH results in substantial augmentation of rainfall error to streamflow simulation mismatch whereas bias corrected estimates result in attenuation of error. This study shows that analysis for water balance composition has great potential to improve application of satellite precipitation products in water management and decision making in the Zambezi basin. This study advises optimization of model parameters for each respective rainfall input data source so to identify outcomes and effects of respective rainfall data sources on the simulated water balance. Optimization of parameter sets by ɛ -NSGAII results in optimal parameter sets that attributes to findings on the water balance composition and closure.
format	article
author	W. Gumindoga T.H.M. Rientjes A.T. Haile P. Reggiani H. Makurira
author_facet	W. Gumindoga T.H.M. Rientjes A.T. Haile P. Reggiani H. Makurira
author_sort	W. Gumindoga
title	Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin
title_short	Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin
title_full	Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin
title_fullStr	Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin
title_full_unstemmed	Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin
title_sort	propagation of cmorph rainfall errors to rew streamflow simulation mismatch in the upper zambezi basin
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a9a9476dd95d4456b973dcb476a0053b
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Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin

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