{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:23:04Z","timestamp":1775665384430,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurate wind shear detection is crucial for aviation safety, especially in landing and departure. A new approach for windshear alerting is proposed and demonstrated. This approach monitors orthogonal wind components in multiple runways using single coherent Doppler wind lidar (CDWL). First, the two orthogonal components of the wind field are retrieved from radial speed by an updated variational method. Then, the heading wind and cross wind on different runways are calculated simultaneously, without the location restriction of the single lidar. Finally, a windshear alerting message is generated through quantitatively evaluating the distribution of shear ramps over the monitoring area. The new CDWL-based approach for windshear alerting is implemented at the Beijing Daxing International Airport. The retrieved horizontal wind from the lidar is consistent with that from anemometers. Thanks to its high spatial\/temporal resolution, some meteorological phenomena of aviation hazards, including microburst, windshear, gust front, and vortex are well captured. Particularly, all 10 windshear cases reported by crews are successfully identified during the windshear verification experiment, demonstrating the effectiveness and robustness of the new approach.<\/jats:p>","DOI":"10.3390\/rs14071626","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T21:45:51Z","timestamp":1648590351000},"page":"1626","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Microburst, Windshear, Gust Front, and Vortex Detection in Mega Airport Using a Single Coherent Doppler Wind Lidar"],"prefix":"10.3390","volume":"14","author":[{"given":"Jinlong","family":"Yuan","sequence":"first","affiliation":[{"name":"School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China"},{"name":"ZhongKe-YiAn Technology Co., Ltd., Shenzhen 518066, China"}]},{"given":"Lian","family":"Su","sequence":"additional","affiliation":[{"name":"School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China"},{"name":"ZhongKe-YiAn Technology Co., Ltd., Shenzhen 518066, China"}]},{"given":"Haiyun","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China"},{"name":"ZhongKe-YiAn Technology Co., Ltd., Shenzhen 518066, China"}]},{"given":"Yi","family":"Li","sequence":"additional","affiliation":[{"name":"Meteorological Center of Southwest Air Traffic Management Bureau of CAAC, Chengdu 610202, China"}]},{"given":"Ming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tibet Autonomous Region Administration of CAAC, Lhasa 850707, China"}]},{"given":"Guangju","family":"Zhen","sequence":"additional","affiliation":[{"name":"North China Regional Air Traffic Management Bureau of CAAC, Beijing 102604, China"}]},{"given":"Jianyu","family":"Li","sequence":"additional","affiliation":[{"name":"ZhongKe-YiAn Technology Co., Ltd., Shenzhen 518066, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"ref_1","unstructured":"ICAO (2005). 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