NDLI: Improving forecast skill by assimilation of AIRS temperature soundings

Content Provider	IEEE Xplore Digital Library
Author	Susskind, J. Reale, O.
Copyright Year	2010
Description	Author affiliation: UMBC, NASA Goddard Space Flight Center, Greenbelt, MD, USA 20771 (Reale, O.) \|\| NASA Goddard Space Flight Center, Greenbelt, MD, USA 20771 (Susskind, J.)
Abstract	This paper uses AIRS temperature profiles derived by the AIRS Science Team Version-5 retrieval algorithm. The AIRS Science Team Version-5 retrieval algorithm is being used operationally at the Goddard DAAC in the processing (and reprocessing) of all AIRS data. The AIRS Science Team Version-5 retrieval algorithm contains two significant improvements over Version-4: 1) Improved physics allows for use of AIRS observations in the entire 4.3 µm CO2 absorption band in the retrieval of temperature profile T(p) during both day and night. Tropospheric sounding 15 µm CO2 observations are now used primarily in the generation of cloud cleared radiances HRi. This approach allows for the generation of accurate values of HRi and T(p) under most cloud conditions. 2) Another very significant improvement in Version-5 is the ability to generate accurate case-by-case, level-by-level error estimates for the atmospheric temperature profile, as well as for channel-by-channel error estimates for HRi. These error estimates are used for quality control of the retrieved products. We have conducted forecast impact experiments assimilating AIRS temperature profiles with different levels of quality control using the NASA GEOS-5 data assimilation system. Assimilation of quality controlled T(p) resulted in significantly improved forecast skill compared to that obtained from analyses obtained when all data used operationally by NCEP, except for AIRS data, is assimilated. We also conducted an experiment assimilating AIRS radiances uncontaminated by clouds, as done operationally by ECMWF and NCEP. Forecasts resulting from assimilating AIRS radiances were of poorer quality than those obtained assimilating AIRS temperatures.
Starting Page	3534
Ending Page	3537
File Size	837056
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5652458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature control Quality control Clouds Temperature measurement Data assimilation Temperature distribution Ocean temperature remote sensing Forecasting infrared measurements infrared spectroscopy meteorology
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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