Xubin Zeng, Hui Su, Svetla Hristova-Veleva, Derek J. Posselt, Robert Atlas, Shannon T. Brown, Ross D. Dixon, Eric Fetzer, Thomas J. Galarneau, Michael Hardesty, Jonathan H. Jiang, Pekka P. Kangaslahti, Amir Ouyed, Thomas S. Pagano, Oliver Reitebuch, Remy Roca, Ad Stoffelen, Sara Tucker, Anna Wilson, Longtao Wu, Igor Yanovsky
{"title":"Vientos - 结合被动水汽探测仪和多普勒风激光雷达进行三维风力测量的新卫星任务概念","authors":"Xubin Zeng, Hui Su, Svetla Hristova-Veleva, Derek J. Posselt, Robert Atlas, Shannon T. Brown, Ross D. Dixon, Eric Fetzer, Thomas J. Galarneau, Michael Hardesty, Jonathan H. Jiang, Pekka P. Kangaslahti, Amir Ouyed, Thomas S. Pagano, Oliver Reitebuch, Remy Roca, Ad Stoffelen, Sara Tucker, Anna Wilson, Longtao Wu, Igor Yanovsky","doi":"10.1175/bams-d-22-0283.1","DOIUrl":null,"url":null,"abstract":"Abstract It is challenging to accurately characterize the three-dimensional distribution of horizontal wind vectors (known as 3D winds). Feature-matching satellite cloud top or water vapor fields have been used for decades to retrieve atmospheric motion vectors, but this approach is mostly limited to a single and uncertain pressure level at a given time. Satellite wind lidar measurements are expected to provide more accurate data and capture the line-of-sight wind for clear skies, within cirrus clouds, and above thick clouds, but only along a curtain parallel to the satellite track. Here we propose Vientos – a new satellite mission concept that combines 2 or more passive water vapor sounders with Doppler wind lidar to measure 3D winds. The need for 3D wind observations is highlighted by inconsistencies in reanalysis estimates, particularly under precipitating conditions. Recent studies have shown that 3D winds can be retrieved using water vapor observations from two polar-orbiting satellites separated by 50 minutes, with the help of advanced optical flow algorithms. These winds can be improved through the incorporation of a small number of co-located higher-accuracy measurements via machine learning. The Vientos concept would enable simultaneous measurements of 3D winds, temperature, and humidity, and is expected to have a significant impact on scientific research, weather prediction, and other applications. For example, it can help better understand and predict the preconditions for organized convection. This article summarizes recent results, presents the Vientos mission architecture, and discusses implementation scenarios for a 3D wind mission under current budget constraints.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"298 1","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vientos - A new satellite mission concept for 3D wind measurements by combining passive water vapor sounders with Doppler wind lidar\",\"authors\":\"Xubin Zeng, Hui Su, Svetla Hristova-Veleva, Derek J. Posselt, Robert Atlas, Shannon T. Brown, Ross D. Dixon, Eric Fetzer, Thomas J. Galarneau, Michael Hardesty, Jonathan H. Jiang, Pekka P. Kangaslahti, Amir Ouyed, Thomas S. Pagano, Oliver Reitebuch, Remy Roca, Ad Stoffelen, Sara Tucker, Anna Wilson, Longtao Wu, Igor Yanovsky\",\"doi\":\"10.1175/bams-d-22-0283.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract It is challenging to accurately characterize the three-dimensional distribution of horizontal wind vectors (known as 3D winds). Feature-matching satellite cloud top or water vapor fields have been used for decades to retrieve atmospheric motion vectors, but this approach is mostly limited to a single and uncertain pressure level at a given time. Satellite wind lidar measurements are expected to provide more accurate data and capture the line-of-sight wind for clear skies, within cirrus clouds, and above thick clouds, but only along a curtain parallel to the satellite track. Here we propose Vientos – a new satellite mission concept that combines 2 or more passive water vapor sounders with Doppler wind lidar to measure 3D winds. The need for 3D wind observations is highlighted by inconsistencies in reanalysis estimates, particularly under precipitating conditions. Recent studies have shown that 3D winds can be retrieved using water vapor observations from two polar-orbiting satellites separated by 50 minutes, with the help of advanced optical flow algorithms. These winds can be improved through the incorporation of a small number of co-located higher-accuracy measurements via machine learning. The Vientos concept would enable simultaneous measurements of 3D winds, temperature, and humidity, and is expected to have a significant impact on scientific research, weather prediction, and other applications. For example, it can help better understand and predict the preconditions for organized convection. This article summarizes recent results, presents the Vientos mission architecture, and discusses implementation scenarios for a 3D wind mission under current budget constraints.\",\"PeriodicalId\":9464,\"journal\":{\"name\":\"Bulletin of the American Meteorological Society\",\"volume\":\"298 1\",\"pages\":\"\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the American Meteorological Society\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1175/bams-d-22-0283.1\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the American Meteorological Society","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1175/bams-d-22-0283.1","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Vientos - A new satellite mission concept for 3D wind measurements by combining passive water vapor sounders with Doppler wind lidar
Abstract It is challenging to accurately characterize the three-dimensional distribution of horizontal wind vectors (known as 3D winds). Feature-matching satellite cloud top or water vapor fields have been used for decades to retrieve atmospheric motion vectors, but this approach is mostly limited to a single and uncertain pressure level at a given time. Satellite wind lidar measurements are expected to provide more accurate data and capture the line-of-sight wind for clear skies, within cirrus clouds, and above thick clouds, but only along a curtain parallel to the satellite track. Here we propose Vientos – a new satellite mission concept that combines 2 or more passive water vapor sounders with Doppler wind lidar to measure 3D winds. The need for 3D wind observations is highlighted by inconsistencies in reanalysis estimates, particularly under precipitating conditions. Recent studies have shown that 3D winds can be retrieved using water vapor observations from two polar-orbiting satellites separated by 50 minutes, with the help of advanced optical flow algorithms. These winds can be improved through the incorporation of a small number of co-located higher-accuracy measurements via machine learning. The Vientos concept would enable simultaneous measurements of 3D winds, temperature, and humidity, and is expected to have a significant impact on scientific research, weather prediction, and other applications. For example, it can help better understand and predict the preconditions for organized convection. This article summarizes recent results, presents the Vientos mission architecture, and discusses implementation scenarios for a 3D wind mission under current budget constraints.
期刊介绍:
The Bulletin of the American Meteorological Society (BAMS) is the flagship magazine of AMS and publishes articles of interest and significance for the weather, water, and climate community as well as news, editorials, and reviews for AMS members.