Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

GEO-GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring

Version 1 : Received: 26 September 2020 / Approved: 26 September 2020 / Online: 26 September 2020 (12:47:16 CEST)
Version 2 : Received: 2 November 2020 / Approved: 3 November 2020 / Online: 3 November 2020 (14:46:46 CET)

A peer-reviewed article of this Preprint also exists.

Carr, J.L.; Wu, D.L.; Daniels, J.; Friberg, M.D.; Bresky, W.; Madani, H. GEO–GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring. Remote Sens. 2020, 12, 3779. Carr, J.L.; Wu, D.L.; Daniels, J.; Friberg, M.D.; Bresky, W.; Madani, H. GEO–GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring. Remote Sens. 2020, 12, 3779.

Journal reference: Remote Sens. 2020, 12, 3779
DOI: 10.3390/rs12223779

Abstract

Height assignment is an important problem for satellite measurements of Atmospheric Motion Vectors (AMVs) that are interpreted as winds by forecast and assimilation systems. Stereo methods assign heights to AMVs from the parallax observed between observations from different vantage points in orbit while tracking cloud or moisture features. In this paper, we fully develop the stereo method to jointly retrieve wind vectors with their geometric heights from geostationary satellite pairs. Synchronization of observations between observing systems is not required. NASA and NOAA stereo-winds codes have implemented this method and we have processed large datasets from GOES-16, -17, and Himawari-8. Our retrievals are validated against rawinsonde observations and demonstrate the potential to improve forecast skill. Stereo winds also offer an important mitigation for the loop heat pipe anomaly on GOES-17 during times when warm focal plane temperatures cause infra-red channels that are needed for operational height assignments to fail. We also examine several application areas, including deep convection in tropical cyclones, planetary boundary layer dynamics, and fire smoke plumes, where stereo methods provide insights into atmospheric processes. The stereo method is broadly applicable across the geostationary ring where systems offering similar Image Navigation and Registration (INR) performance as GOES-R are deployed.

Subject Areas

3D-winds; atmospheric motion vectors (AMVs); GOES-R; ABI; Himawari; AHI; planetary boundary layer (PBL); stereo imaging; parallax; Image Navigation and Registration (INR)

Comments (1)

Comment 1
Received: 3 November 2020
Commenter: James Carr
Commenter's Conflict of Interests: Author
Comment: Revisions following the first round of review.
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