Hydrologic utility of satellite precipitation products in flood prediction: A meta-data analysis and lessons learnt

Gilbert Hinge, Mohamed A. Hamouda, Di Long, Mohamed M. Mohamed

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

This work summarizes lessons learnt on using satellite precipitation products (SPPs) for flood simulation and prediction and proposes ways forward in this field of research. A meta-analysis was carried out to review: effect of climate zone, topographical features, selection of hydrological models, and calibration procedures on SPPs forced hydrological model performance. SPPs performance was shown to be higher in temperate and tropical than in dry climates. Low lying and moderate elevations areas exhibited high-performance accuracy compared to higher latitudes landscapes. SPPs that use microwave algorithms were found to outperform the others. The best simulation and prediction results were found after bias correction and model recalibration. From a general standpoint, SPPs offer great potential for flood simulation and prediction, but the performance of SPPs needs to be enhanced for operational purposes. The present study discusses bias correction techniques, model recalibration, the importance of interaction between different types of SPPs and hydrological models, and other lessons learned and future directions of using SPPs for future flood applications.

Original languageEnglish
Article number128103
JournalJournal of Hydrology
Volume612
DOIs
Publication statusPublished - Sep 2022

Keywords

  • Flood
  • Hydrologic prediction
  • Hydrological model
  • Satellite precipitation product

ASJC Scopus subject areas

  • Water Science and Technology

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