{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:44:53Z","timestamp":1760150693935,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T00:00:00Z","timestamp":1703203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Jiangsu Funding Program for Excellent Postdoctoral Talent","award":["2023ZB012","LAPC-KF-2023-05"],"award-info":[{"award-number":["2023ZB012","LAPC-KF-2023-05"]}]},{"name":"the State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry","award":["2023ZB012","LAPC-KF-2023-05"],"award-info":[{"award-number":["2023ZB012","LAPC-KF-2023-05"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Weather radars play a crucial role in the monitoring of severe convective weather. However, due to their limited detection range, they cannot conduct an effective monitoring in remote offshore areas. Therefore, this paper utilized UNet++ to establish a model for retrieving radar composite reflectivity based on Himawari-9 satellite datasets. In the process of comparative analysis, we found that both satellite and radar data exhibited significant diurnal cycles, but there were notable differences in their variation characteristics. To address this, we established four comparative models to test the influence of latitude and diurnal cycles on the inversion results. The results showed that adding the distribution map of the minimum brightness temperature at the corresponding time in the model could effectively improve the model\u2019s performance in both spatial and temporal dimensions, reduce the root-mean-square error (RMSE) of the model, and enhance the accuracy of severe convective weather monitoring.<\/jats:p>","DOI":"10.3390\/rs16010056","type":"journal-article","created":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T04:44:40Z","timestamp":1703220280000},"page":"56","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring"],"prefix":"10.3390","volume":"16","author":[{"given":"Bingcheng","family":"Wan","sequence":"first","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"},{"name":"State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5488-6095","authenticated-orcid":false,"given":"Chloe Yuchao","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China"},{"name":"Shanghai Key Laboratory of Ocean-Land-Atmosphere Boundary Dynamics and Climate Change, Fudan University, Shanghai 200438, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s13351-020-9875-2","article-title":"Advances in Severe Convection Research and Operation in China","volume":"34","author":"Yu","year":"2020","journal-title":"J. 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