{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T07:11:28Z","timestamp":1773904288658,"version":"3.50.1"},"reference-count":46,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T00:00:00Z","timestamp":1651017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The National Natural Science Foundation of China","award":["U1902209"],"award-info":[{"award-number":["U1902209"]}]},{"name":"The National Natural Science Foundation of China","award":["202201AS070069"],"award-info":[{"award-number":["202201AS070069"]}]},{"name":"The National Natural Science Foundation of China","award":["12530000431270053A"],"award-info":[{"award-number":["12530000431270053A"]}]},{"name":"National Natural Science Foundation of Yunnan Province","award":["U1902209"],"award-info":[{"award-number":["U1902209"]}]},{"name":"National Natural Science Foundation of Yunnan Province","award":["202201AS070069"],"award-info":[{"award-number":["202201AS070069"]}]},{"name":"National Natural Science Foundation of Yunnan Province","award":["12530000431270053A"],"award-info":[{"award-number":["12530000431270053A"]}]},{"name":"Climate Center of Yunnan Meteorological Bureau","award":["U1902209"],"award-info":[{"award-number":["U1902209"]}]},{"name":"Climate Center of Yunnan Meteorological Bureau","award":["202201AS070069"],"award-info":[{"award-number":["202201AS070069"]}]},{"name":"Climate Center of Yunnan Meteorological Bureau","award":["12530000431270053A"],"award-info":[{"award-number":["12530000431270053A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study adopts a two-way approach to CORDEX-CORE RegCM4-7 seasonal precipitation simulations\u2019 Added Value (AV) analysis over Africa, which aims to quantify potential improvements introduced by the downscaling approach at high and low resolution, using satellite-based observational products. The results show that RegCM4-7 does add value to its driving Global Climate Models (GCMs) with a positive Added Value Coverage (AVC) ranging between 20 and 60% at high resolution, depending on the season and the boundary conditions. At low resolution, the results indicate an increase in the positive AVC by up to 20% compared to the high-resolution results, with an up to 8% decrease for instances where an increase is not observed. Typical climate zones such as West Africa, Central Africa, and Southern East Africa, where improvements by Regional Climate Models (RCMs) are expected due to strong dependence on mesoscale and fine-scale features, show positive AVC greater than 20%, regardless of the season and the driving GCM. These findings provide more evidence for confirming the hypothesis that the RCMs AV is influenced by their internal physics rather than being the product of a mere disaggregation of large-scale features provided by GCMs. Although the results show some dependencies to the driving GCMs relating to their equilibrium climate sensitivity nature, the findings at low resolutions similar to the native GCM resolutions make the influence of internal physics more important. The findings also feature the CORDEX-CORE RegCM4-7 precipitation simulations\u2019 potential in bridging the quality and resolution gap between coarse GCMs and high-resolution remote sensing datasets. Even if further post-processing activities, such as bias correction, may still be needed to remove persistent biases at high resolution, using upscaled RCMs as an alternative to GCMs for large-scale precipitation studies over Africa can be insightful if the AV and other performance statistics are satisfactory for the intended application.<\/jats:p>","DOI":"10.3390\/rs14092102","type":"journal-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T22:20:20Z","timestamp":1651098020000},"page":"2102","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Resolution-Sensitive Added Value Analysis of CORDEX-CORE RegCM4-7 Past Seasonal Precipitation Simulations over Africa Using Satellite-Based Observational Products"],"prefix":"10.3390","volume":"14","author":[{"given":"Gnim Tchalim","family":"Gnitou","sequence":"first","affiliation":[{"name":"Binjiang College, Nanjing University of Information Science & Technology, Wuxi 214105, China"}]},{"given":"Guirong","family":"Tan","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Yan","family":"Hongming","sequence":"additional","affiliation":[{"name":"Yunnan Climate Center, Kunming 650034, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6636-9554","authenticated-orcid":false,"given":"Isaac Kwesi","family":"Nooni","sequence":"additional","affiliation":[{"name":"Binjiang College, Nanjing University of Information Science & Technology, Wuxi 214105, China"},{"name":"School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8328-8745","authenticated-orcid":false,"given":"Kenny Thiam Choy","family":"Lim Kam Sian","sequence":"additional","affiliation":[{"name":"Binjiang College, Nanjing University of Information Science & Technology, Wuxi 214105, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1140\/epjp\/s13360-020-00453-1","article-title":"Producing actionable climate change information for regions: The distillation paradigm and the 3R framework","volume":"135","author":"Giorgi","year":"2020","journal-title":"Eur. 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