{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:05:08Z","timestamp":1784736308254,"version":"3.55.0"},"reference-count":45,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T00:00:00Z","timestamp":1733702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42275007"],"award-info":[{"award-number":["42275007"]}]},{"name":"National Natural Science Foundation of China","award":["2024LRM-A04"],"award-info":[{"award-number":["2024LRM-A04"]}]},{"name":"National Natural Science Foundation of China","award":["20242BAB26050"],"award-info":[{"award-number":["20242BAB26050"]}]},{"name":"Open Grants of the China Meteorological Administration Radar Meteorology Key Laboratory","award":["42275007"],"award-info":[{"award-number":["42275007"]}]},{"name":"Open Grants of the China Meteorological Administration Radar Meteorology Key Laboratory","award":["2024LRM-A04"],"award-info":[{"award-number":["2024LRM-A04"]}]},{"name":"Open Grants of the China Meteorological Administration Radar Meteorology Key Laboratory","award":["20242BAB26050"],"award-info":[{"award-number":["20242BAB26050"]}]},{"name":"Natural Science Foundation of Jiangxi Province in China","award":["42275007"],"award-info":[{"award-number":["42275007"]}]},{"name":"Natural Science Foundation of Jiangxi Province in China","award":["2024LRM-A04"],"award-info":[{"award-number":["2024LRM-A04"]}]},{"name":"Natural Science Foundation of Jiangxi Province in China","award":["20242BAB26050"],"award-info":[{"award-number":["20242BAB26050"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A new method is proposed for identifying ground clutter in single-polarization radar data based on the gated recurrent unit (GRU) neural network. This method needs five independent input variables related to radar reflectivity structure, which are the reflectivity at current tilt, the reflectivity at the upper tilt, the reflectivity at 3.5 km, the echo top height, and the texture of reflectivity at current tilt, respectively. The performance of the new method is compared with that of the traditional method used in the Weather Surveillance Radar 1988-Doppler system in four cases with different scenarios. The results show that the GRU method is more effective than the traditional method in capturing ground clutter, particularly in situations where ground clutter exists at two adjacent elevation angles. Furthermore, in order to assess the new method more comprehensively, 709 radar scans from Nanchang radar in July 2019 and 708 scans from Jingdezhen radar in June 2019 were collected and processed by the two methods, and the frequency map of radar reflectivity exceeding 20 dBZ was analyzed. The results indicate that the GRU method has a stronger ability than the traditional method to identify and remove ground clutter. Meanwhile, the GRU method can also preserve meteorological echoes well.<\/jats:p>","DOI":"10.3390\/rs16234609","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T10:11:47Z","timestamp":1733739107000},"page":"4609","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Recognition of Ground Clutter in Single-Polarization Radar Based on Gated Recurrent Unit"],"prefix":"10.3390","volume":"16","author":[{"given":"Jiaxin","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Poyang Lake Wetland and Watershed Research of Ministry of Education, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, School of Geography and Environmental Science, Jiangxi Normal University, Nanchang 330022, China"},{"name":"China Meteorological Administration Radar Meteorology Key Laboratory, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5760-0419","authenticated-orcid":false,"given":"Haibo","family":"Zou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Poyang Lake Wetland and Watershed Research of Ministry of Education, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, School of Geography and Environmental Science, Jiangxi Normal University, Nanchang 330022, China"},{"name":"China Meteorological Administration Radar Meteorology Key Laboratory, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Landi","family":"Zhong","sequence":"additional","affiliation":[{"name":"Nanchang Meteorological Bureau, Nanchang 330104, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4991-3647","authenticated-orcid":false,"given":"Zhiqun","family":"Hu","sequence":"additional","affiliation":[{"name":"China Meteorological Administration Radar Meteorology Key Laboratory, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,9]]},"reference":[{"key":"ref_1","first-page":"909","article-title":"Study of the Classified Identification of the Strong Convective Weathers Based on the LightGBM Algorithm","volume":"40","author":"Liu","year":"2023","journal-title":"Plateau Meteorol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s10712-009-9079-x","article-title":"Review of the different sources of uncertainty in single polarization radar-based estimates of rainfall","volume":"31","author":"Villarini","year":"2010","journal-title":"Surv. 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