Paper
13 September 2011 Evaluation of cloudy data as stable references for climate research using AIRS and IRIS data
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Abstract
We explore the use cloudy data, including Deep Convective Clouds (DCC) in the tropical oceans for the evaluation of the absolute calibration accuracy and stability of infrared radiometers. For the evaluation of cloudy data we use random nadir samples. We illustrate the method with Atmospheric Infrared Sounder (AIRS) data and data from the Infrared Interferometric Spectrometer (IRIS) in the tropical oceans. AIRS is on the EOS Aqua satellite, which was launched in May 2002 and is expected to continue to produce high quality data until 2015. Two copies of IRIS flew on Nimbus satellites between April 1970 and January 1971. Based on inconsistencies between AIRS and IRIS data, the absolute accuracy of the IRIS data is about 1K, including a significant day/night bias. Part of the observed radiometric bias may have been introduced by quality control, which senses a temperature and spatial uniformity dependent degradation of instrument performance. The observed biases are larger than the 0.5K accuracy claimed in the literature. This absolute calibration uncertainty has to be taken into account in the analysis of changes in the more than 30 year time span between IRIS and AIRS, before they can be attributed to changes in the clouds or the climate. The method described in this paper can be applied retrospectively to any infrared radiometer like HIRS, AVHRR and GOES. It has the capability to exposes instrument artifacts, which are not apparent from the routine quality control of the data.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hartmut H. Aumann, Yibo Jiang, and Denis A. Elliott "Evaluation of cloudy data as stable references for climate research using AIRS and IRIS data", Proc. SPIE 8153, Earth Observing Systems XVI, 815304 (13 September 2011); https://doi.org/10.1117/12.892797
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KEYWORDS
IRIS Consortium

Clouds

Calibration

Infrared radiation

Climatology

Radiometry

Climate change

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