Share Email Print

Proceedings Paper

Assessment of Midnight Blackbody Calibration Correction (MBCC) using the Global Space-based Inter-Calibration System (GSICS)
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The geostationary meteorological satellites (GEO), such as Geostationary Operational Environmental Satellite (GOES), are susceptible to a calibration anomaly around local midnight of the sub-satellite point. A counter measure, the Midnight Blackbody Calibration Correction (MBCC) currently exists at operational level. In this study, the MBCC performance on GOES-11 satellite is characterized with the help of Global Space-based Inter-Calibration System (GSICS) data sets. Results from the comparison of coincident and collocated GSICS-based GOES-11-AIRS data pairs, corresponding to two and half year period from January 2007 through June 2009, reveal that "mid-night residuals" in brightness temperatures persist in all of the GOES-11 Infra-Red (IR) channels, in spite of MBCC. The GOES-11 split window channels (channels 4 and 5) consistently showed significantly large negative (GOES-11-AIRS) biases often reaching values of -1. 5 K or less while the short wave Infra-Red (SWIR) channel (channel 2) produced relatively smaller negative biases (~ -0.3 K or less). Interestingly, the water vapor IR channel (channel 3) exhibits a different pattern from rest of the channels in which consistently opposite biases with small positive (GOES-11-AIRS) difference values (~ 0.3 K or less) could be observed. The reason for the differential behavior of GOES-11 channel 3 is yet to be understood, while it is hypothesized that this might be linked to the convolution algorithm used for matching the AIRS data spectrally with those from GOES water vapor channel. The amount of midnight residuals is shown to have a consistent seasonal dependency, which gets repeated year after year, for the period considered in the analysis.

Paper Details

Date Published: 12 August 2009
PDF: 8 pages
Proc. SPIE 7456, Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III, 745603 (12 August 2009); doi: 10.1117/12.825407
Show Author Affiliations
M. K. Rama Varma Raja, NOAA/NESDIS/STAR (United States)
Xiangqian Wu, NOAA/NESDIS/STAR (United States)
Fangfang Yu, NOAA/NESDIS/STAR (United States)
Likun 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)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?