Infrared radiance analysis from the SNPP airborne field campaign

Allen M. Larar; Daniel K. Zhou; Xu Liu; William L. Smith

doi:10.1117/12.2069446

18 November 2014 Infrared radiance analysis from the SNPP airborne field campaign

Allen M. Larar, Daniel K. Zhou, Xu Liu, William L. Smith

Proceedings Volume 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V; 92630X (2014) https://doi.org/10.1117/12.2069446
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

Experimental field campaigns, including satellite under-flights with well-calibrated FTS sensors aboard high-altitude aircraft, are an essential part of the satellite measurement system validation task aimed at improving observations of the Earth’s atmosphere, clouds, and surface for enabling enhancements in weather prediction, climate monitoring capability, and environmental change detection. The Suomi NPP (SNPP) airborne field campaign was conducted during the 6 - 31 May, 2013 timeframe based out of Palmdale, CA, and focused on under-flights of the SNPP satellite with the NASA ER-2 aircraft in order to perform cal/val of the satellite instruments and their corresponding data products. Aircraft flight profiles were designed to under-fly multiple satellites within a single sortie, when feasible, to address satellite sensor validation and cross-validation; specifically, in addition to under-flying SNPP, flight profiles were defined to also obtain data coincident with the NASA A-train (i.e. AQUA), MetOP-A, and MetOP-B satellites to enable intercomparisons with instruments aboard those platforms (i.e. AIRS, IASI, and CrIS). This presentation focuses on radiance analysis from the SNPP airborne field campaign with a particular emphasis on NAST-I intercomparisons with the Crosstrack Infrared Sounder (CrIS).

Citation Download Citation

Allen M. Larar, Daniel K. Zhou, Xu Liu, and William L. Smith "Infrared radiance analysis from the SNPP airborne field campaign", Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92630X (18 November 2014); https://doi.org/10.1117/12.2069446

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