Deep-Dive Analysis of GOES-16/17

Andrew Bailey, I.M. Systems Group

  • Jaime Daniels, NOAA/NESDIS Center for Satellite Applications and Research

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  • Wayne Bresky, I.M. Systems Group

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  • Americo Allegrino, I.M. Systems Group

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  • Steve Wanzong, Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, UW-Madison

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  • Mark Kulie, NOAA/NESDIS Center for Satellite Applications and Research

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  • Andrew Heidinger, NOAA/NESDIS Center for Satellite Applications and Research

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  • James Carr, Carr Astronautics

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  • Houria Madani, Carr Astronautics

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  • Chris Velden, Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, UW-Madison

Both GOES-16 and GOES-17 Atmospheric Motion Vectors (AMVs) are now being produced operationally at NOAA/NESDIS. Efforts to validate and characterize the quality of these AMVs continue, particularly in light of the GOES-17 ABI cooling system anomaly. To support this effort, a number of deep-dive analysis tools were developed and are used here to evaluate the quality of the AMVs on a case-by-case basis. This poster will present the latest in-depth GOES-16/17 case study results from the application of these tools. A particular focus will be on efforts undertaken to mitigate the impact of the GOES-17 ABI Focal Plane Module warming anomaly on AMV counts and quality. Modifications made to the winds and cloud height retrieval algorithms when operating under mitigated conditions, as well as comparisons to recent developments in GEO-GEO Stereo Winds retrievals will be examined. An evaluation of an increased AMV mid-level slow speed bias, observed when employing an updated “Enterprise” version of the cloud height algorithm, is also considered.

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