Skip to main navigation Skip to search Skip to main content

Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model

  • Ahmed Al-Areeq*
  • , Hatim O. Sharif
  • , Al-Zahrani Mohammad Abdullah M
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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 km 2 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.

Original languageAmerican English
Article number246
JournalApplied Water Science
Volume12
Issue number11
DOIs
StatePublished - Nov 2022

Bibliographical note

Funding Information:
The authors would like to thank King Fahd University of Petroleum and Minerals for support during this work.

Publisher Copyright:
© 2022, The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Flooding
  • GSSHA
  • Hydrology
  • Satellite precipitation
  • Saudi Arabia

ASJC Scopus subject areas

  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Assessment of the performance of satellite rainfall products over Makkah watershed using a physically based hydrologic model'. Together they form a unique fingerprint.

Cite this