HR: 1400h
AN: OS23E-04    [Abstracts]
TI: Overview of the heritage Calibration/Validation system for NOAA/NESDIS operational global Sea Surface Temperature products from AVHRR
AU: de Alwis, D A
EM: Dilkushi.deAlwis@noaa.gov
AF: NOAA/NESDIS, Center for Satellite Applications and Research (STAR), 5200 Auth Road, Camp Springs, md 20746, United States
AU: de Alwis, D A
EM: Dilkushi.deAlwis@noaa.gov
AF: Cooperative Institute for Research in the Atmospheres (CIRA), Colorado State University, Foothills Campus, Fort Collins, co 80523, United States
AU: * Ignatov, A
EM: Alex.Ignatov@noaa.gov
AF: NOAA/NESDIS, Center for Satellite Applications and Research (STAR), 5200 Auth Road, Camp Springs, md 20746, United States
AU: Sapper, J
EM: John.Sapper@noaa.gov
AF: NOAA NESDIS, Office of Satellite Data Processing and Distribution (OSDPD), 5200 Auth Road, Camp Springs, md 20746, United States
AU: Pichel, W
EM: William.G.Pichel@noaa.gov
AF: NOAA/NESDIS, Center for Satellite Applications and Research (STAR), 5200 Auth Road, Camp Springs, md 20746, United States
AU: Li, X
EM: Xiaofeng.Li@noaa.gov
AF: IMSG Inc., 3401 Bexhill Place, Kensington, md 20895, United States
AU: Dash, P
EM: Prasanjit.Dash@noaa.gov
AF: NOAA/NESDIS, Center for Satellite Applications and Research (STAR), 5200 Auth Road, Camp Springs, md 20746, United States
AU: Dash, P
EM: Prasanjit.Dash@noaa.gov
AF: Cooperative Institute for Research in the Atmospheres (CIRA), Colorado State University, Foothills Campus, Fort Collins, co 80523, United States
AU: Kihai, Y
EM: Yury.Kihai@noaa.gov
AF: QSS Group Incorporated, 4500 Forbes Boulevard, Lanham, md 20705, United States
AB: Operational polar-orbiting NOAA satellites provide repetitive daily global coverage of the Earth. NESDIS has pioneered global production of Sea Surface Temperature (SST) from the Advanced Very High Resolution Radiometers (AVHRR) flown onboard NOAA satellites in the early 1980s and operational production has continued ever since. An important element of the global SST production is a continuous match-up of satellite data with in-situ SSTs. Early in satellite lifetime, the match-up data are used to train the regression-based Multi Channel and Non Linear SST (MCSST/NLSST) algorithms, i.e., derive coefficients of SST equations. This stage is referred to as calibration. Later in the satellite missions, the match-up data are used to continuously evaluate SST product performance. This stage is referred to as validation. Currently, it includes calculating a global bias and root-mean-squared deviation (RMSD) between the satellite and in-situ SSTs, on a monthly basis. The primary objective of this paper is to describe the heritage NESDIS AVHRR SST Cal/Val system, and document the latest AVHRR SST validation results from NOAA 16, 17, and 18 satellites from 2003 until present. Typically, global monthly bias is within ±0.1K and RMSD ~ 0.55K. The second objective is to check the robustness and seasonal stability of the derived MC/NLSST coefficients and RMSD, and in particular, estimate their sensitivity to the removal of outliers. Currently, outliers are identified by comparison of both in situ and satellite SSTs with the Bauer-Robinson 1985 SST climatology. We conclude the presentation with identifying potential improvements to the heritage AVHRR SST Cal/Val system.
DE: 3225 Numerical approximations and analysis (4260)
DE: 4594 Instruments and techniques
SC: Ocean Sciences [OS]
MN: 2007 Joint Assembly