Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model
Abstract Makkah region is one of the most flash flood-prone areas of Saudi Arabia due to terrain characteristics and the synoptic-scale weather conditions that intensify through interaction with the local topography causing high convective short-lived rainfall events, although these conditions are q...
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Format: | Article |
Language: | English |
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SpringerOpen
2022-10-01
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Series: | Applied Water Science |
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Online Access: | https://doi.org/10.1007/s13201-022-01768-3 |
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author | Ahmed M. Al-Areeq Muhammad A. Al-Zahrani Hatim O. Sharif |
author_facet | Ahmed M. Al-Areeq Muhammad A. Al-Zahrani Hatim O. Sharif |
author_sort | Ahmed M. Al-Areeq |
collection | DOAJ |
description | Abstract Makkah region is one of the most flash flood-prone areas of Saudi Arabia due to terrain characteristics and the synoptic-scale weather conditions that intensify through interaction with the local topography causing high convective short-lived rainfall events, although these conditions are quite infrequent. Most of these events last for less than two hours. This study aims to assess the performance of five satellite precipitation products over a 1725 km2 sparsely gauged, arid basin. A fully distributed, physically based hydrologic model was forced by the five satellite precipitation products, and the evaluation included the hydrographs and runoff maps predicted by the model. Moreover, the propagation of the satellite rainfall errors into runoff predictions was quantified. Large variations and significant biases were found in satellites precipitation estimates compared to the available ground rainfall measurements. The Early IMERG product showed the best agreement with the reported total rainfall accumulations followed by Late IMERG while the other products significantly underestimated precipitation accumulations. Comparison with estimated runoff peaks showed that the Early IMERG product has the lowest errors in runoff peaks. Therefore, the hydrographs produced by the Early IMERG product were used as a reference to quantify the propagation of satellite precipitation errors into runoff predictions over the Makkah watershed. The results clearly indicated that both systematic and random rainfall errors were significantly amplified in runoff predictions. |
first_indexed | 2024-04-12T00:36:26Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 2190-5487 2190-5495 |
language | English |
last_indexed | 2024-04-12T00:36:26Z |
publishDate | 2022-10-01 |
publisher | SpringerOpen |
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series | Applied Water Science |
spelling | doaj.art-8b00f84361794efb94addd3cdc50fa642022-12-22T03:55:08ZengSpringerOpenApplied Water Science2190-54872190-54952022-10-01121112110.1007/s13201-022-01768-3Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic modelAhmed M. Al-Areeq0Muhammad A. Al-Zahrani1Hatim O. Sharif2Interdisciplinary Research Center for Membrane and Water Security, King Fahd University of Petroleum and Minerals (KFUPM)Department of Civil and Environmental Engineering, King Fahd University of Petroleum and MineralsDepartment of Civil and Environmental Engineering, University of Texas at San AntonioAbstract Makkah region is one of the most flash flood-prone areas of Saudi Arabia due to terrain characteristics and the synoptic-scale weather conditions that intensify through interaction with the local topography causing high convective short-lived rainfall events, although these conditions are quite infrequent. Most of these events last for less than two hours. This study aims to assess the performance of five satellite precipitation products over a 1725 km2 sparsely gauged, arid basin. A fully distributed, physically based hydrologic model was forced by the five satellite precipitation products, and the evaluation included the hydrographs and runoff maps predicted by the model. Moreover, the propagation of the satellite rainfall errors into runoff predictions was quantified. Large variations and significant biases were found in satellites precipitation estimates compared to the available ground rainfall measurements. The Early IMERG product showed the best agreement with the reported total rainfall accumulations followed by Late IMERG while the other products significantly underestimated precipitation accumulations. Comparison with estimated runoff peaks showed that the Early IMERG product has the lowest errors in runoff peaks. Therefore, the hydrographs produced by the Early IMERG product were used as a reference to quantify the propagation of satellite precipitation errors into runoff predictions over the Makkah watershed. The results clearly indicated that both systematic and random rainfall errors were significantly amplified in runoff predictions.https://doi.org/10.1007/s13201-022-01768-3GSSHASatellite precipitationFloodingHydrologySaudi Arabia |
spellingShingle | Ahmed M. Al-Areeq Muhammad A. Al-Zahrani Hatim O. Sharif Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model Applied Water Science GSSHA Satellite precipitation Flooding Hydrology Saudi Arabia |
title | Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model |
title_full | Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model |
title_fullStr | Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model |
title_full_unstemmed | Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model |
title_short | Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model |
title_sort | assessment of the performance of satellite rainfall products over makkah watershed using a physically based hydrologic model |
topic | GSSHA Satellite precipitation Flooding Hydrology Saudi Arabia |
url | https://doi.org/10.1007/s13201-022-01768-3 |
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