HR: 0800h
AN: A51B-0755    [Abstracts]
TI: Atmospheric Soundings From AIRS/AMSU in Partial Cloud Cover
AU: * Susskind, J
EM: joel.susskind-1@nasa.gov
AF: NASA GSFC, Code 910.4, Greenbelt, MD 20771 United States
AU: Blaisdell, J M
EM: blaisdell@gsfc.nasa.gov
AF: SAIC, NASA GSFC Code 910.4, Greenbelt, MD 20771 United States
AU: Iredell, L F
EM: lena.f.iredell@gsfc.nasa.gov
AF: SAIC, NASA GSFC Code 910.4, Greenbelt, MD 20771 United States
AU: Keita, F
EM: Fricky.Keita@gsfc.nasa.gov
AF: SAIC, NASA GSFC Code 910.4, Greenbelt, MD 20771 United States
AU: Molnar, G I
EM: molnar@srt.gsfc.nasa.gov
AF: UMBC/JCET, NASA GSFC Code 910.4, Greenbelt, MD 20771 United States
AB: Simultaneous use of AIRS/AMSU-A observations allow for the determination of accurate atmospheric soundings under partial cloud cover conditions. The methodology involves the determination of the radiances AIRS would have seen if the AIRS fields of view were clear, called clear column radiances, and use of these radiances to infer the atmospheric and surface conditions giving rise to these clear column radiances. Susskind et al., (2003) demonstrate via simulation that accurate temperature soundings and clear column radiances can be derived from AIRS/AMSU-A observations in cases of up to 80% partial cloud cover, with only a small degradation in accuracy compared to that obtained in clear scenes. Susskind and Atlas (2004) show that these findings hold for real AIRS/AMSU-A soundings as well. For data assimilation purposes, this small degradation in accuracy is more than offset by a significant increase in spatial coverage (roughly 50% of global cases were accepted, compared to 3.6% of the global cases being diagnosed as clear), and assimilation of AIRS temperature soundings in partially cloudy conditions resulted in a larger improvement in forecast skill than when AIRS soundings were assimilated only under clear conditions. Alternatively, derived AIRS clear column radiances under partial cloud cover could also be used for data assimilation purposes. Further improvements in AIRS sounding methodology have been made since the results shown in Susskind and Atlas (2004). A new version of the AIRS/AMSU-A retrieval algorithm, Version 4.0, will be delivered to the Goddard DAAC for production of AIRS derived products, including clear column radiances. Results will be shown of the accuracy and spatial distribution of temperature-moisture profiles and clear column radiances derived from AIRS/AMSU-A as a function of fractional cover using the Version 4.0 algorithm. References Susskind, J., C. D. Barnet, and J. M. Blaisdell, "Retrieval of Atmospheric and Surface Parameters from AIRS/AMSU/HSB Data in the Presence of Clouds," IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 2, 2003. Susskind, J., R. Altas, "Atmospheric Soundings from AIRS/AMSU/HSB," SPIE Defense and Security Symposium, Orlando, Florida, April 12-16, 2004.
DE: 3339 Ocean/atmosphere interactions (0312, 4504)
DE: 3374 Tropical meteorology
DE: 3300 METEOROLOGY AND ATMOSPHERIC DYNAMICS
DE: 1640 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting