Vientos—A New Satellite Mission Concept for 3D Wind Measurements by Combining Passive Water Vapor Sounders with Doppler Wind Lidar

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 WuIgor Yanovsky

Research output: Contribution to journalArticlepeer-review

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 two 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 50min, with the help of advanced optical flow algorithms. These winds can be improved through the incorporation of a small number of collocated 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.

Original languageEnglish (US)
Pages (from-to)E357-E369
JournalBulletin of the American Meteorological Society
Volume105
Issue number2
DOIs
StatePublished - Feb 2024
Externally publishedYes

Keywords

  • Convective storms
  • Dynamics
  • Machine learning
  • Satellite observations
  • Wind
  • Wind shear

ASJC Scopus subject areas

  • Atmospheric Science

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