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Evaluating the Performance of Merged Multi-Satellite Precipitation Products Over a Complex Terrain

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  • Saeed Golian

  • Saber Moazami
  • Pierre-Emmanuel Kirstetter
  • Yang Hong

Abstract

The aim of this paper is to investigate the effectiveness of merging satellite precipitation products on rainfall estimates over different terrains in Iran. Four widely used satellite rainfall estimates (SREs) namely PERSIANN, TMPA-3B42, TMPA-3B42RT, and CMORPH were evaluated and blended in order to generate new combinations in which we expect to estimate rainfall more accurately than with using each individual product. For this purpose, first, the daily bias of each satellite algorithm was calculated at each pixel by comparing with gauge observed data for the time period of 2003–2008. Then, for each pixel, a linear combination of SREs was selected which resulted in the least bias for that pixel. This combination named as merged satellite rainfall estimate (MSRE). In order to test the proposed method, several statistical indices including bias, root mean square error (RMSE), and correlation coefficient (CC) were employed. The results indicate that the merged product used in this study can improve the accuracy of rainfall estimates compared with each individual satellite estimate over all the study regions for different seasons. However, the efficiency of improvement depends highly on the number of rain gauges distributed over the study area. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Saeed Golian & Saber Moazami & Pierre-Emmanuel Kirstetter & Yang Hong, 2015. "Evaluating the Performance of Merged Multi-Satellite Precipitation Products Over a Complex Terrain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4885-4901, October.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:13:p:4885-4901
    DOI: 10.1007/s11269-015-1096-6
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    References listed on IDEAS

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    1. Shanhu Jiang & Liliang Ren & Yang Hong & Xiaoli Yang & Mingwei Ma & Yu Zhang & Fei Yuan, 2014. "Improvement of Multi-Satellite Real-Time Precipitation Products for Ensemble Streamflow Simulation in a Middle Latitude Basin in South China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2259-2278, June.
    2. Li Li & Yang Hong & Jiahu Wang & Robert Adler & Frederick Policelli & Shahid Habib & Daniel Irwn & Tesfaye Korme & Lawrence Okello, 2009. "Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria, Africa," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 50(1), pages 109-123, July.
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    Cited by:

    1. Tai Wei & Xian-Ci Zhong & Yang Gao, 2026. "Evaluating and enhancing the performance of satellite precipitation products by considering uncertainty in rain gauge observations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 122(6), pages 1-30, March.

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