Global Three-Dimensional Water Vapor Feature-Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites

Amir Ouyed, Nadia Smith, Xubin Zeng, Thomas Galarneau, Hui Su, Ross D. Dixon

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The lack of measurements of three-dimensional (3D) distribution of horizontal wind vectors is a major challenge in atmospheric science. Here, we develop an algorithm to retrieve winds for nine pressure levels at 1° grid spacing from 70°N to 70°S. The retrieval is done by tracking water vapor from the hyperspectral Cross-track Infrared Sounder aboard two polar satellites (NOAA-20 and Suomi-NPP) that have overlapped tracks separated by 50 min. We impose a gross error check by flagging retrievals that are too different from ERA-5 reanalysis. Testing the algorithm for the first week of January and July 2020 indicates that our algorithm yields 104 wind profiles per day and these 3D winds qualitatively agree with ERA-5. Compared with radiosonde data, the errors are within the range of reported errors of cloud-tracking winds.

Original languageEnglish (US)
Article numbere2022GL101830
JournalGeophysical Research Letters
Volume50
Issue number7
DOIs
StatePublished - Apr 16 2023

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences

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