{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:23:24Z","timestamp":1760149404093,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2023,7,21]],"date-time":"2023-07-21T00:00:00Z","timestamp":1689897600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Special Project for Sustainable Development of Shenzhen","award":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"],"award-info":[{"award-number":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"],"award-info":[{"award-number":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Province Science and Technology Department Project","award":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"],"award-info":[{"award-number":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"]}]},{"name":"Scientific research projects of Guangdong Provincial Meteorological Bureau","award":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"],"award-info":[{"award-number":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"]}]},{"name":"Science and Technology Innovation Team Plan of Guangdong Meteorological Bureau","award":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"],"award-info":[{"award-number":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"]}]},{"name":"Basic Research Fund of Chinese Academy of Meteorological Sciences","award":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"],"award-info":[{"award-number":["KCXFZ20201221173412035","42275065","2021B1212050024","GRMC2020M29","GRMCTD202003","2020Z010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The height of the stable boundary layer is a key parameter in atmospheric transmission and diffusion, air quality, emergency response, wind energy, and numerical weather prediction models. Existing methods mainly determine the stable boundary layer height via a threshold or minimum value of the wind speed variance under a low-level jet. Based on multi-meteorological element data from a meteorological gradient observation tower, this paper revealed the limitations of existing methods from the perspective of dynamic and thermal effects. In this paper, it is demonstrated that there were four types of shapes of the wind speed variance profile under the low-level jet and a method for using the shape of the variance profile to retrieve the height of the stable boundary layer was proposed. This method distinguished different types of wind speed variance profiles and solved the problems of the misjudgment and omissions (about 34%) present in existing methods. Our experiment showed that the average absolute error of the proposed method was less than 18 m and the average relative error was less than 9%. The results showed that the proposed inversion method was extended to all kinds of wind field detection equipment for inversion of the stable boundary layer height and has very high universality.<\/jats:p>","DOI":"10.3390\/rs15143638","type":"journal-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T01:12:28Z","timestamp":1690161148000},"page":"3638","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Novel Method for Determining the Height of the Stable Boundary Layer under Low-Level Jet by Judging the Shape of the Wind Velocity Variance Profile"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7242-3318","authenticated-orcid":false,"given":"Jinhong","family":"Xian","sequence":"first","affiliation":[{"name":"School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China"},{"name":"Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen 518040, China"}]},{"given":"Ning","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China"}]},{"given":"Chao","family":"Lu","sequence":"additional","affiliation":[{"name":"Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen 518040, China"}]},{"given":"Honglong","family":"Yang","sequence":"additional","affiliation":[{"name":"Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen 518040, China"}]},{"given":"Zongxu","family":"Qiu","sequence":"additional","affiliation":[{"name":"Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen 518040, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3350","DOI":"10.1029\/2018JD029848","article-title":"Surface Meteorological Conditions and Boundary Layer Height Variations During an Air Pollution Episode in Nanjing, China","volume":"124","author":"Yin","year":"2019","journal-title":"J. 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