{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:50:24Z","timestamp":1768812624359,"version":"3.49.0"},"reference-count":63,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T00:00:00Z","timestamp":1543449600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and Technology, China; Beijing Municipal Science and Technology Commission","award":["2017YFC1502701;Z171100002217080"],"award-info":[{"award-number":["2017YFC1502701;Z171100002217080"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Performance of four satellite precipitation products, namely, the China Meteorological Forcing Dataset (CMFD), Climate Prediction Center morphing technique (CMORPH), as well as 3B42 calibrated and 3B42-RT dataset, which are derived from the Tropical Rainfall Measuring Mission (TRMM) and Multi-satellite Precipitation Analysis (TMPA), were evaluated from daily to annual temporal scales over Beijing, using observations from 36 ground meteorological stations. Five statistical properties and three categorical metrics were used to test the results. The assessment showed that all four satellite precipitation products captured the temporal variability of precipitation. Although four satellite precipitation products captured the trend of more precipitation in the northeastern regions, all four products showed different distribution from the observations for 2001\u20132015 over Beijing. All precipitation products tended to overestimate moderate precipitation events and underestimate heavy precipitation events over Beijing, except for 3B42RT, which tended to overestimate most precipitation events. By comparison, the CMFD performed better than the CMORPH, 3B42 calibrated, and 3B42-RT datasets, having the higher correlation coefficient and low root mean squared difference, and mean absolute difference at all temporal scales. The average correlation coefficient of the CMFD, CMORPH, 3B42 calibrated, and 3B42-RT products for all 36 stations were 0.70, 0.60, 0.59, and 0.54 for daily precipitation and 0.78, 0.32, 0.74, and 0.44 for monthly precipitation. Overall, the CMFD was the most reliable for the Beijing region.<\/jats:p>","DOI":"10.3390\/rs10121914","type":"journal-article","created":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T11:47:53Z","timestamp":1543492073000},"page":"1914","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Assessment of Satellite-Derived Precipitation Products for the Beijing Region"],"prefix":"10.3390","volume":"10","author":[{"given":"Meifang","family":"Ren","sequence":"first","affiliation":[{"name":"College of Water Sciences, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China"}]},{"given":"Zongxue","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Water Sciences, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China"}]},{"given":"Bo","family":"Pang","sequence":"additional","affiliation":[{"name":"College of Water Sciences, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China"}]},{"given":"Wenfeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Swiss Federal Institute of Aquatic Science and Technology, Ueberlandstrasse 133, CH-8600 Duebendorf, Switzerland"},{"name":"Laboratoire des Sciences du Climat et de l\u2019Environnement, LSCE\/IPSL, CEA-CNRS-UVSQ, Universit\u00e9 Paris-Saclay, F-91191 Gif-sur-Yvette, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9219-8354","authenticated-orcid":false,"given":"Jiangtao","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Water Sciences, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China"}]},{"given":"Longgang","family":"Du","sequence":"additional","affiliation":[{"name":"Beijing Hydrology Bureau, Beijing 100038, China"}]},{"given":"Rong","family":"Wang","sequence":"additional","affiliation":[{"name":"National Climate Centre, Beijing 100081, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1175\/BAMS-D-13-00164.1","article-title":"The global precipitation measurement mission","volume":"95","author":"Hou","year":"2013","journal-title":"Bull. 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