{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T03:20:40Z","timestamp":1768792840550,"version":"3.49.0"},"reference-count":51,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T00:00:00Z","timestamp":1712620800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2022YFC3004402"],"award-info":[{"award-number":["2022YFC3004402"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["221111321100"],"award-info":[{"award-number":["221111321100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Henan provincial key research and development program","award":["2022YFC3004402"],"award-info":[{"award-number":["2022YFC3004402"]}]},{"name":"Henan provincial key research and development program","award":["221111321100"],"award-info":[{"award-number":["221111321100"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Remote sensing precipitation data have the characteristics of wide coverage and revealing spatiotemporal information, but their spatial resolution is low. The accuracy of the data is obviously different in different study areas and hydrometeorological conditions. This study evaluated four precipitation products in the Yellow River basin from 2001 to 2019, constructed the optimal combined product, conducted downscaling with various machine algorithms, and performed corrections using meteorological station precipitation data to analyze the spatiotemporal trends of precipitation. The results showed that (1) GPM and MSWEP had the best four evaluation indicators, with R2 values of 0.93 and 0.90, respectively, and the smallest FSE and RMSE, with a BIAS close to 0. A high-precision mixed precipitation dataset, GPM-MSWEP, was constructed. (2) Among the three methods, the downscaling results of DFNN showed higher accuracy. (3) The results, after correction with GWR, could more effectively enhance the accuracy of the data. (4) Precipitation in the Yellow River Basin showed a decreasing trend in January, September, and December, while it exhibited an increasing trend in other months and seasons, with 2002 and 2016 being points of abrupt change. This study provides a reference for the production of high-precision satellite precipitation products in the Yellow River basin.<\/jats:p>","DOI":"10.3390\/rs16081318","type":"journal-article","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T10:08:50Z","timestamp":1712657330000},"page":"1318","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8794-1476","authenticated-orcid":false,"given":"Haibo","family":"Yang","sequence":"first","affiliation":[{"name":"School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6024-5640","authenticated-orcid":false,"given":"Xiang","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1474-4222","authenticated-orcid":false,"given":"Yingchun","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China"}]},{"given":"Zhengrong","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China"}]},{"given":"Shiqi","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China"}]},{"given":"Bo","family":"Yu","sequence":"additional","affiliation":[{"name":"CEC Guiyang Exploration and Design Research Institute Co., Guiyang 550081, China"}]},{"given":"Yanling","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhengzhou Meteorological Bureau, Zhengzhou 450001, China"}]},{"given":"Ke","family":"Li","sequence":"additional","affiliation":[{"name":"Henan Provincial Meteorological Observatory, Zhengzhou 450001, China"}]},{"given":"Zheng","family":"Duan","sequence":"additional","affiliation":[{"name":"Department of Physical Geography and Ecosystem Science, Lund University, S-22362 Lund, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3223-6344","authenticated-orcid":false,"given":"Qiuhua","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. 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