Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations

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

doi:10.1371/journal.pone.0089681

Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations

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

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55 Scopus citations

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.

Original language	English
Article number	e89681
Journal	PLoS ONE
Volume	9
Issue number	4
DOIs	https://doi.org/10.1371/journal.pone.0089681
State	Published - Apr 1 2014
Externally published	Yes

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title = "Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations",

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.",

author = "Sheng Chen and Huijuan Liu and Yalei You and Esther Mullens and Junjun Hu and Ye Yuan and Mengyu Huang and Li He and Yongming Luo and Xingji Zeng and Guoqiang Tang and Yang Hong",

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doi = "10.1371/journal.pone.0089681",

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T1 - Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations

AU - Chen, Sheng

AU - Liu, Huijuan

AU - You, Yalei

AU - Mullens, Esther

AU - Hu, Junjun

AU - Yuan, Ye

AU - Huang, Mengyu

AU - He, Li

AU - Luo, Yongming

AU - Zeng, Xingji

AU - Tang, Guoqiang

AU - Hong, Yang

PY - 2014/4/1

Y1 - 2014/4/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84898892692

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DO - 10.1371/journal.pone.0089681

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VL - 9

JO - PLoS ONE

JF - PLoS ONE

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M1 - e89681

ER -

Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations

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