NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Impact of Assimilating Adaptively Thinned AIRS Cloud-Cleared Radiances in the GEOSThis work examines the assimilation of AIRS (Atmospheric Infrared Sounder) radiances from two points of view: the thinning strategy and the use of cloud-cleared radiances as opposed to clear-sky. Previous published work by this team, based on a very large set of Observing System Experiments performed with a 2014 3DVAR version of the GEOS (Goddard Earth Observing System), has shown that the assimilation of adaptively thinned AIRS cloud-cleared radiances (CCRs) improves the representation of tropical cyclones (TCs) without damaging the global forecast skill. The simple adaptive methodology is based on denser AIRS coverage in moving domains centered on TCs, and sparser coverage everywhere else. Subsequent experiments showed that the adaptive methodology produces good results also when applied to clear-sky CrIS (Cross-track Infrared Sounder) and IASI (Infrared Atmospheric Sounding Interferometer) radiances. In addition, the results indicate that the density of all hyperspectral data assimilated over meteorologically inactive areas is excessive, probably because of horizontal error correlation, suggesting that the global thinning should be more aggressive. More recent work focused on the polar regions has shown another positive impact of assimilating cloud-cleared AIRS radiances instead of clear-sky. The results show that high latitude atmospheric dynamics is very sensitive to the representation of the lower tropospheric temperature structure over the Arctic region. Specifically, assimilation of CCRs over areas that are data poor and also affected by broken stratus clouds, and as such minimally observed by AIRS clear-sky radiances, changes substantially the temperature structure over the Arctic low troposphere. Ingestion of CCRs over the region propagates, through hydrostatic adjustments, to mid-tropospheric geopotential height, allowing for better prediction of mid-latitude waves. In addition, adaptively thinned CCRs also improve the representation of mesoscale convective cyclones at high latitudes. An example of an Antarctic low is provided. Finally, recent ongoing work with the hybrid 4DenVAR GEOS, investigating the 2017 boreal TC season, has confirmed the previous results: namely that aggressively thinned cloud-cleared radiances improve TC structure with no loss of global skill.
Document ID
20190026782
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
McGrath-Spangler, Erica
(Universities Space Research Association (USRA) Greenbelt, MD, United States)
Reale, Oreste
(Universities Space Research Association (USRA) Greenbelt, MD, United States)
Ganeshan, Manisha
(Universities Space Research Association (USRA) Greenbelt, MD, United States)
McCarty, Will
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Gelaro, Ron
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
June 30, 2019
Publication Date
May 29, 2019
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN69343
Meeting Information
Meeting: Joint Center for Satellite Data Assimilation Technical Review Meeting and Science Workshop (JCSDA 2019)
Location: Washington, DC
Country: United States
Start Date: May 29, 2019
End Date: May 31, 2019
Sponsors: University Corp. for Atmospheric Research, NASA Headquarters
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
CCR
3DVAR
TC
No Preview Available