{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T03:03:30Z","timestamp":1775703810761,"version":"3.50.1"},"reference-count":46,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42077012"],"award-info":[{"award-number":["42077012"]}]},{"name":"National Natural Science Foundation of China","award":["41771263"],"award-info":[{"award-number":["41771263"]}]},{"name":"National Natural Science Foundation of China","award":["41571130053"],"award-info":[{"award-number":["41571130053"]}]},{"name":"National Natural Science Foundation of China","award":["20222-051261-1"],"award-info":[{"award-number":["20222-051261-1"]}]},{"name":"Jinggang Shan Agricultural Hi-tech District","award":["42077012"],"award-info":[{"award-number":["42077012"]}]},{"name":"Jinggang Shan Agricultural Hi-tech District","award":["41771263"],"award-info":[{"award-number":["41771263"]}]},{"name":"Jinggang Shan Agricultural Hi-tech District","award":["41571130053"],"award-info":[{"award-number":["41571130053"]}]},{"name":"Jinggang Shan Agricultural Hi-tech District","award":["20222-051261-1"],"award-info":[{"award-number":["20222-051261-1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Precipitation is an essential element in earth system research, which greatly benefits from the emergence of Satellite Precipitation Products (SPPs). Therefore, assessment of the accuracy of the SPPs is necessary both scientifically and practically. The Integrated Multi-Satellite Retrievals for GPM (IMERG) is one of the most widely used SPPs in the scientific community. However, there is a lack of comprehensive evaluation for the performance of the newly released IMERG Version 07, which is essential for determining its effectiveness and reliability in precipitation estimation. In this study, we compare the IMERG V07 Final Run (V07_FR) with its predecessor IMERG V06_FR across scales from January 2016 to December 2020 over the globe (cross-compare their similarities and differences) and a focused study on mainland China (validate against 2481 rain gauges). The results show that: (1) Globally, the annual mean precipitation of V07_FR increases 2.2% compared to V06_FR over land but decreases 5.8% over the ocean. The two SPPs further exhibit great differences as indicated by the Critical Success Index (CSI = 0.64) and the Root Mean Squared Difference (RMSD = 3.42 mm\/day) as compared to V06_FR to V07_FR. (2) Over mainland China, V06_FR and V07_FR detect comparable precipitation annually. However, the Probability of Detection (POD) improves by 5.0%, and the RMSD decreases by 3.7% when analyzed by grid cells. Further, the POD (+0%~+6.1%) and CSI (+0%~+8.8%) increase and the RMSD (\u221211.1%~0%) decreases regardless of the sub-regions. (3) Under extreme rainfall rates, V07_FR measures 4.5% lower extreme rainfall rates than V06_FR across mainland China. But V07_FR tends to detect more accurate extreme precipitation at both daily and event scales. These results can be of value for further SPP development, application in climatological and hydrological modeling, and risk analysis.<\/jats:p>","DOI":"10.3390\/rs15235622","type":"journal-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T07:59:31Z","timestamp":1701676771000},"page":"5622","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements"],"prefix":"10.3390","volume":"15","author":[{"given":"Yaji","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-842X","authenticated-orcid":false,"given":"Zhi","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Earth System Science, Stanford University, Stanford, CA 94025, USA"}]},{"given":"Lei","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China"}]},{"given":"Yong","family":"Zhong","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Areas, Guilin University of Technology, Guilin 541004, China"}]},{"given":"Xinhua","family":"Peng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100081, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1038\/s41586-023-06474-x","article-title":"Anthropogenic fingerprints in daily precipitation revealed by deep learning","volume":"622","author":"Ham","year":"2023","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/s11069-006-9106-x","article-title":"Flood and landslide applications of near real-time satellite rainfall products","volume":"43","author":"Hong","year":"2007","journal-title":"Nat. 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