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Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin
Hydrological modeling in the Third Pole remains challenging due to the complex topography and scarcity of in-situ precipitation observations. In this study, we assessed five satellite precipitation products (SPPs) including TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP, and simulated daily st...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349210/ https://www.ncbi.nlm.nih.gov/pubmed/35922539 http://dx.doi.org/10.1038/s41598-022-17551-y |
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author | Ji, Haoyu Peng, Dingzhi Gu, Yu Liang, Yaqi Luo, Xiaoyu |
author_facet | Ji, Haoyu Peng, Dingzhi Gu, Yu Liang, Yaqi Luo, Xiaoyu |
author_sort | Ji, Haoyu |
collection | PubMed |
description | Hydrological modeling in the Third Pole remains challenging due to the complex topography and scarcity of in-situ precipitation observations. In this study, we assessed five satellite precipitation products (SPPs) including TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP, and simulated daily streamflow in the Yarlung Zangbo River Basin (YZRB) with VIC model. The performance of SPPs was evaluated by CC, RB, RMSE, POD and FAR, to compare with daily observations. Overall, all SPPs showed decreasing trends of precipitation from east to west compared to 10 km rainfall data. PERSIANN had the highest values of POD (0.65), RB (91.6%) and FAR (0.59) but worst performed in streamflow. CMORPH, GPM and TRMM fit well with the observations annually but overestimate the precipitation in the southeast during wet seasons. Simulation from GPM and CMORPH yield satisfactory results (NSE of 0.86 and 0.82, RE of − 20% and − 13%, respectively), while TRMM outperformed GPM in modeling runoff with smaller relative error. Results indicated the potential of GPM and CMORPH in providing alternative rainfall information in YZRB. Accurate evaluation of multi-source SPPs and their hydrological utility in YZRB would benefit further hydrometeorological studies and water resources management in this area. |
format | Online Article Text |
id | pubmed-9349210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93492102022-08-05 Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin Ji, Haoyu Peng, Dingzhi Gu, Yu Liang, Yaqi Luo, Xiaoyu Sci Rep Article Hydrological modeling in the Third Pole remains challenging due to the complex topography and scarcity of in-situ precipitation observations. In this study, we assessed five satellite precipitation products (SPPs) including TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP, and simulated daily streamflow in the Yarlung Zangbo River Basin (YZRB) with VIC model. The performance of SPPs was evaluated by CC, RB, RMSE, POD and FAR, to compare with daily observations. Overall, all SPPs showed decreasing trends of precipitation from east to west compared to 10 km rainfall data. PERSIANN had the highest values of POD (0.65), RB (91.6%) and FAR (0.59) but worst performed in streamflow. CMORPH, GPM and TRMM fit well with the observations annually but overestimate the precipitation in the southeast during wet seasons. Simulation from GPM and CMORPH yield satisfactory results (NSE of 0.86 and 0.82, RE of − 20% and − 13%, respectively), while TRMM outperformed GPM in modeling runoff with smaller relative error. Results indicated the potential of GPM and CMORPH in providing alternative rainfall information in YZRB. Accurate evaluation of multi-source SPPs and their hydrological utility in YZRB would benefit further hydrometeorological studies and water resources management in this area. Nature Publishing Group UK 2022-08-03 /pmc/articles/PMC9349210/ /pubmed/35922539 http://dx.doi.org/10.1038/s41598-022-17551-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ji, Haoyu Peng, Dingzhi Gu, Yu Liang, Yaqi Luo, Xiaoyu Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin |
title | Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin |
title_full | Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin |
title_fullStr | Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin |
title_full_unstemmed | Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin |
title_short | Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin |
title_sort | evaluation of multiple satellite precipitation products and their potential utilities in the yarlung zangbo river basin |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349210/ https://www.ncbi.nlm.nih.gov/pubmed/35922539 http://dx.doi.org/10.1038/s41598-022-17551-y |
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