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Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3972163/ https://www.ncbi.nlm.nih.gov/pubmed/24691358 http://dx.doi.org/10.1371/journal.pone.0089681 |
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author | Chen, Sheng Liu, Huijuan You, Yalei Mullens, Esther Hu, Junjun Yuan, Ye Huang, Mengyu He, Li Luo, Yongming Zeng, Xingji Tang, Guoqiang Hong, Yang |
author_facet | Chen, Sheng Liu, Huijuan You, Yalei Mullens, Esther Hu, Junjun Yuan, Ye Huang, Mengyu He, Li Luo, Yongming Zeng, Xingji Tang, Guoqiang Hong, Yang |
author_sort | Chen, Sheng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3972163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39721632014-04-04 Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations Chen, Sheng Liu, Huijuan You, Yalei Mullens, Esther Hu, Junjun Yuan, Ye Huang, Mengyu He, Li Luo, Yongming Zeng, Xingji Tang, Guoqiang Hong, Yang PLoS One Research Article 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. Public Library of Science 2014-04-01 /pmc/articles/PMC3972163/ /pubmed/24691358 http://dx.doi.org/10.1371/journal.pone.0089681 Text en © 2014 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chen, Sheng Liu, Huijuan You, Yalei Mullens, Esther Hu, Junjun Yuan, Ye Huang, Mengyu He, Li Luo, Yongming Zeng, Xingji Tang, Guoqiang Hong, Yang Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations |
title | Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations |
title_full | Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations |
title_fullStr | Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations |
title_full_unstemmed | Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations |
title_short | Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations |
title_sort | evaluation of high-resolution precipitation estimates from satellites during july 2012 beijing flood event using dense rain gauge observations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3972163/ https://www.ncbi.nlm.nih.gov/pubmed/24691358 http://dx.doi.org/10.1371/journal.pone.0089681 |
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