{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T05:47:02Z","timestamp":1780465622308,"version":"3.54.1"},"reference-count":51,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T00:00:00Z","timestamp":1717459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42305009"],"award-info":[{"award-number":["42305009"]}]},{"name":"National Natural Science Foundation of China","award":["42175006"],"award-info":[{"award-number":["42175006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Overshooting tops (OTs), prominent signatures within deep convective storms, are produced by intense updrafts and are closely linked to heavy rainfall, strong winds, and other severe weather conditions. Using an OT dataset derived from multiyear observations of precipitation radar on board the Global Precipitation Measurement core observatory as a reference, the performances of two commonly used OT detection algorithms are evaluated for the Himawari-8 and Fengyun-4A satellites. The results indicate that the infrared contour-based algorithm based on Himawari-8 is the most effective for objective OT detection in eastern China. It exhibits a probability of detection (POD) of 62.1% and a false-alarm ratio (FAR) of 36.6%, outperforming others by achieving a greater POD and a lower FAR. Furthermore, based on the severe weather records from surface meteorological stations and nearby OT detections, a strong relationship is revealed between GEO-detected OTs and the occurrence of short-term heavy rainfall (e.g., \u226520 mm h\u22121) and extreme wind speed (e.g., \u226517.2 m s\u22121) events. The OT matched percentages for these events are 61.8% and 54.0%, respectively. This suggests that GEO satellite-based OT data can serve as an important objective product for forecasters to increase their understanding of severe convective storms.<\/jats:p>","DOI":"10.3390\/rs16112015","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T08:43:54Z","timestamp":1717577034000},"page":"2015","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Geostationary Satellite-Based Overshooting Top Detections and Their Relationship to Severe Weather over Eastern China"],"prefix":"10.3390","volume":"16","author":[{"given":"Liangxiao","family":"Sun","sequence":"first","affiliation":[{"name":"Jiangsu Climate Center, Nanjing 210041, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9333-4055","authenticated-orcid":false,"given":"Xiaoyong","family":"Zhuge","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shihua","family":"Zhu","sequence":"additional","affiliation":[{"name":"Jiangsu Climate Center, Nanjing 210041, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1175\/WAF1022.1","article-title":"A quantitative analysis of the enhanced-V feature in relation to severe weather","volume":"22","author":"Brunner","year":"2007","journal-title":"Weather Forecast."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.atmosres.2010.10.001","article-title":"Overshooting cloud top detections using MSG SEVIRI infrared brightness temperatures and their relationship to severe weather over Europe","volume":"99","author":"Bedka","year":"2011","journal-title":"Atmos. 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