{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T19:57:23Z","timestamp":1775851043100,"version":"3.50.1"},"reference-count":68,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,4,29]],"date-time":"2023-04-29T00:00:00Z","timestamp":1682726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key R&amp;D Project from the Science and Technology Department of Sichuan Province","award":["2021YFS0285"],"award-info":[{"award-number":["2021YFS0285"]}]},{"name":"Key R&amp;D Project from the Science and Technology Department of Sichuan Province","award":["XZ202101ZY0007G"],"award-info":[{"award-number":["XZ202101ZY0007G"]}]},{"name":"Key R&amp;D Project from the Science and Technology Department of Sichuan Province","award":["2020YFQ0013"],"award-info":[{"award-number":["2020YFQ0013"]}]},{"name":"Key R&amp;D Project from the Science and Technology Department of Tibet","award":["2021YFS0285"],"award-info":[{"award-number":["2021YFS0285"]}]},{"name":"Key R&amp;D Project from the Science and Technology Department of Tibet","award":["XZ202101ZY0007G"],"award-info":[{"award-number":["XZ202101ZY0007G"]}]},{"name":"Key R&amp;D Project from the Science and Technology Department of Tibet","award":["2020YFQ0013"],"award-info":[{"award-number":["2020YFQ0013"]}]},{"name":"Regional Innovation Cooperation Program","award":["2021YFS0285"],"award-info":[{"award-number":["2021YFS0285"]}]},{"name":"Regional Innovation Cooperation Program","award":["XZ202101ZY0007G"],"award-info":[{"award-number":["XZ202101ZY0007G"]}]},{"name":"Regional Innovation Cooperation Program","award":["2020YFQ0013"],"award-info":[{"award-number":["2020YFQ0013"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Precipitation is crucial for managing water resources in the Three River Headwaters (TRH) region of the Tibetan Plateau (TP). Gridded precipitation datasets across the TRH region exhibit significant discrepancies in their results. Previous studies have primarily focused on assessing average or extreme precipitation for a single dataset or several datasets. In this study, based on the observed gridded precipitation dataset (CN05.1), a comprehensive evaluation of the climatic features and extreme precipitation across the TRH region from 1983 to 2014 is performed by employing two gauge-based gridded datasets (GPCC and CRU), two satellite-derived precipitation datasets (P-CDR and IMERG), and two reanalysis precipitation datasets (ERA5 and CRA40). The results show that all datasets are consistent in reproducing the climatology, interannual variability, and annual cycle of precipitation in the TRH region. However, the different datasets exhibit significant discrepancies in characterizing the long-term trends and extreme precipitation events. P-CDR and GPCC provide a good representation of the spatial variability of the annual mean climatology. ERA5 and CRU are more reliable in capturing interannual variabilities. The long-term trends can be closely described by employing CRU. P-CDR and GPCC exhibit higher skills in terms of the annual cycle. P-CDR performs better than IMERG for daily precipitation in terms of probability distributions and other assessment metrics. P-CDR and IMERG have advantages and disadvantages in characterizing the nine extreme precipitation indices. This study demonstrates a comprehensive comparison method using multiple precipitation datasets to gain essential insight into the strengths and weaknesses of various datasets across the TRH region.<\/jats:p>","DOI":"10.3390\/rs15092352","type":"journal-article","created":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T12:10:03Z","timestamp":1682943003000},"page":"2352","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Precipitation Characteristics across the Three River Headwaters Region of the Tibetan Plateau: A Comparison between Multiple Datasets"],"prefix":"10.3390","volume":"15","author":[{"given":"Juan","family":"Du","sequence":"first","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China"}]},{"given":"Xiaojing","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China"}]},{"given":"Li","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China"},{"name":"Institute for Disaster Management and Reconstruction, Sichuan University, No. 122 Huanghe Middle Road Section 1, Chengdu 610207, China"}]},{"given":"Yufeng","family":"Ren","sequence":"additional","affiliation":[{"name":"China Yangtze Power Co., Ltd., Yichang 443133, China"}]},{"given":"Tianqi","family":"Ao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China"},{"name":"Institute for Disaster Management and Reconstruction, Sichuan University, No. 122 Huanghe Middle Road Section 1, Chengdu 610207, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.jhydrol.2017.12.025","article-title":"Improving Hydrological Simulations by Incorporating GRACE Data for Model Calibration","volume":"557","author":"Bai","year":"2018","journal-title":"J. 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