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Proceedings Paper

Diurnal drift correction in the NESDIS/STAR MSU/AMSU atmospheric temperature climate data record
Author(s): Cheng-Zhi Zou; Wenhui Wang
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Paper Abstract

NESDIS/Center for Satellite Applications and Research (STAR) has been reprocessing and recalibrating observations from the Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit (AMSU) to generate atmospheric temperature climate data record (CDR). To obtain reliable atmospheric temperature trends from the dataset, diurnal drift errors due to orbital drift must be removed from the time series. This adjustment is especially important for the MSU/AMSU mid-tropospheric temperature product over land where diurnal-drift effect is large. In this study, we applied the diurnal anomalies developed by the Remote Sensing Systems (RSS) to the STAR MSU/AMSU atmospheric temperatures CDR and examined how the correction affects the trend and intersatellite biases over land. A scaling factor was introduced to multiply the RSS diurnal anomalies to account for uncertainties in the dataset. The results show that the diurnal drift has negligible effect on the mid-tropospheric temperature trends over oceans, which is consistent with previous investigations. However, the trend over land is very sensitive to the magnitude of the scaling factor. The final scaling factor was determined by minimizing intersatellite temperature differences over land. The trend values corresponding to such a scaling factor for the 28-year (1979-2006) merged MSU T2 time series are 0.193 K/Decade over the global land and 0.180 K/Decade over the global ocean. The global mean T2 trend is 0.183 K/decade.

Paper Details

Date Published: 12 August 2009
PDF: 7 pages
Proc. SPIE 7456, Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III, 74560G (12 August 2009);
Show Author Affiliations
Cheng-Zhi Zou, NOAA/NESDIS/STAR (United States)
Wenhui Wang, NOAA/NESDIS/STAR (United States)

Published in SPIE Proceedings Vol. 7456:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III
Mitchell D. Goldberg; Hal J. Bloom, Editor(s)

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