IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 51, NO. 1, JANUARY 2013 671
Diurnal and Scan Angle Variations in the Calibration
of GOES Imager Infrared Channels
Fangfang Yu, Member, IEEE, Xiangqian Wu, Member, IEEE, M. K. Rama Varma Raja,
Yaping Li, Member, IEEE, Likun Wang, and Mitchell Goldberg
Abstract—The current Geostationary Operational Environ-
mental Satellite (GOES) Imager infrared (IR) channels experience
a midnight effect that can result in erroneous instrument re-
sponsivity around satellite midnight. An empirical method named
the Midnight Blackbody Calibration Correction (MBCC) was
developed and implemented in the GOES Imager IR operational
calibration, aiming to correct the midnight calibration errors. The
main objective of this study is to evaluate the MBCC performance
for the GOES-11/-12 Imager IR channels by examining the diurnal
variation of the mean brightness temperature (Tb) bias with
respect to reference instruments. Two well-calibrated hyperspec-
tral radiometers on low Earth orbits (LEOs), the Atmospheric
Infrared Sounder on the Aqua satellite and the Infrared Atmo-
spheric Sounding Interferometer (IASI) on the Metop-A satellite,
are used as the reference instruments in this study. However, as the
timing of the collocated geostationary–LEO intercalibration data
is related to the GOES scan angle, it is then necessary to assess the
GOES scan angle calibration variations, which becomes the sec-
ond objective of this study. Our results show that the applications
and performance of the MBCC method varies greatly between the
different channels and different times. While it is usually applied
with high frequency for about 8 h around satellite midnight for
the short-wave channels (Ch2), it may only be intensively used
right after satellite midnight or even barely used for the other
IR channels. The MBCC method, if applied with high frequency,
can reduce the mean day/night calibration difference to less than
0.15 K in almost all the GOES IR channels studied in this paper
Manuscript received July 10, 2011; revised December 7, 2011 and March 3,
2012; accepted April 7, 2012. Date of publication June 11, 2012; date of
current version December 19, 2012. This work was supported by the Center for
Satellite Applications and Research, National Environmental Satellite, Data,
and Information Service, National Oceanic and Atmospheric Administration
(NOAA), through the Calibration and Validation project. The contents of this
paper are solely the opinions of the authors and do not constitute a statement of
policy, decision, or position on behalf of NOAA or the U.S. government.
F. Yu is with Earth Resources Technology, Inc., Laurel, MD 20707 USA
(e-mail: Fangfang.Yu@noaa.gov).
X. Wu and M. Goldberg are with the Center for Satellite Applications and
Research, National Environmental Satellite, Data, and Information Service,
National Oceanic and Atmospheric Administration, Camp Springs, MD 20746
USA (e-mail: xiangqian.wu@noaa.gov; mitch.goldberg@noaa.gov).
M. K. Rama Varma Raja was with I.M. Systems Group, Inc., Rockville, MD
20852 USA. He is now with Science Systems and Applications, Inc., Lanham,
MD 20706 (email: rama.mundakkara@ssaihq.com).
Y. Li is with I.M. Systems Group, Inc., Rockville, MD 20852 USA (e-mail:
Yaping.li@noaa.gov).
L. Wang was with Dell, Round Rock, TX 78682-7000 USA. He is now
with University of Maryland, College Park, MD 20742 USA (email: Likun.
Wang@noaa.gov).
Digital Object Identifier 10.1109/TGRS.2012.2197627
except for Ch4 (10.7 μm). The uncertainty of the nighttime GOES
and IASI Tb difference for different scan angles is less than 0.1 K
in each IR channel, indicating that there is no apparent systematic
variation with the scan angle, and therefore, the estimated diurnal
cycles of GOES Imager calibration is not prone to the systematic
effects due to scan angle.
Index Terms—Diurnal calibration variation, GEO-LEO inter–
calibration, Geostationary Operational Environmental Satellite
(GOES) Imager, GSICS, infrared channels, radiometric calibra-
tion, scan angle variation.
I. I NTRODUCTION
T
HE Geostationary Operational Environmental Satellite
(GOES) is a series of three-axis body-stabilized geosta-
tionary (GEO) satellites operated by the National Oceanic and
Atmospheric Administration (NOAA) of the U.S. Usually, two
GOES satellites, located at 75
◦
W (GOES-East) and 135
◦
W
(GOES-West) about 35800 km above the equator, are operated
simultaneously to provide continuous streams of satellite data
for weather monitoring and forecasting operations of the U.S.
and its neighboring environments. The satellite radiances and
the resulting quantitative meteorological products, such as sur-
face temperature, winds, and others, are also important inputs
to the numerical weather prediction systems and global climate
change studies.
Compared to the instruments onboard spin-stabilized satel-
lites which spend more than 90% of their time scanning space
(SP), the GOES instruments can continuously observe Earth
targets except for routine brief periods to scan SP and the
onboard blackbody (BB) for the radiometric calibration of
infrared (IR) data and other calibration purposes [1]. However,
several calibration issues, such as the midnight calibration
anomaly [2] and the angle-dependent variation of the scan-
mirror emissivity [1], [3], were identified for the instruments
onboard GOES and other three-axis stabilized satellite in-
struments. Around satellite midnight, the IR data experience
erroneous calibration slopes (responsivity) derived from the
standard IR calibration algorithm. This midnight slope error
was demonstrated to cause up to an approximate 1 K brightness
temperature (Tb) depression in the Imager short-wave channel
(3.8 μm) from the scene over the Gulf of Mexico, where diurnal
variation of ocean temperature should not exceed a few tenths
of a degree [2]. It was also found that the erroneous midnight
calibration slopes of the long-wave channels can result in
a systematic bias of over 0.6 K of sea surface temperature
when calculated using the split window technique [4]. To
compensate for the satellite midnight calibration anomaly, an
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