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Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations

Author

Listed:
  • Sheng Chen
  • Huijuan Liu
  • Yalei You
  • Esther Mullens
  • Junjun Hu
  • Ye Yuan
  • Mengyu Huang
  • Li He
  • Yongming Luo
  • Xingji Zeng
  • Guoqiang Tang
  • Yang Hong

Abstract

Satellite-based precipitation estimates products, CMORPH and PERSIANN-CCS, were evaluated with a dense rain gauge network over Beijing and adjacent regions for an extremely heavy precipitation event on July 21 2012. CMORPH and PEERSIANN-CSS misplaced the region of greatest rainfall accumulation, and failed to capture the spatial pattern of precipitation, evidenced by a low spatial correlation coefficient (CC). CMORPH overestimated the daily accumulated rainfall by 22.84% while PERSIANN-CCS underestimated by 72.75%. In the rainfall center, both CMORPH and PERSIANN-CCS failed to capture the temporal variation of the rainfall, and underestimated rainfall amounts by 43.43% and 87.26%, respectively. Based on our results, caution should be exercised when using CMORPH and PERSIANN-CCS as input for monitoring and forecasting floods in Beijing urban areas, and the potential for landslides in the mountainous zones west and north of Beijing.

Suggested Citation

  • Sheng Chen & Huijuan Liu & Yalei You & Esther Mullens & Junjun Hu & Ye Yuan & Mengyu Huang & Li He & Yongming Luo & Xingji Zeng & Guoqiang Tang & Yang Hong, 2014. "Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-7, April.
    • Handle: RePEc:plo:pone00:0089681
    DOI: 10.1371/journal.pone.0089681
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    Cited by:

    1. Hamada Rizk & Yukako Nishimur & Hirozumi Yamaguchi & Teruo Higashino, 2021. "Drone-Based Water Level Detection in Flood Disasters," IJERPH, MDPI, vol. 19(1), pages 1-15, December.

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