Paper
12 October 2006 AIRS retrieval validation during the EAQUATE
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Abstract
Atmospheric and surface thermodynamic parameters retrieved with advanced hyperspectral remote sensors of Earth observing satellites are critical for weather prediction and scientific research. The retrieval algorithms and retrieved parameters from satellite sounders must be validated to demonstrate the capability and accuracy of both observation and data processing systems. The European AQUA Thermodynamic Experiment (EAQUATE) was conducted mainly for validation of the Atmospheric InfraRed Sounder (AIRS) on the AQUA satellite, but also for assessment of validation systems of both ground-based and aircraft-based instruments which will be used for other satellite systems such as the Infrared Atmospheric Sounding Interferometer (IASI) on the European MetOp satellite, the Cross-track Infrared Sounder (CrIS) from the NPOESS Preparatory Project and the following NPOESS series of satellites. Detailed inter-comparisons were conducted and presented using different retrieval methodologies: measurements from airborne ultraspectral Fourier transform spectrometers, aircraft in-situ instruments, dedicated dropsondes and radiosondes, and ground based Raman Lidar, as well as from the European Center for Medium range Weather Forecasting (ECMWF) modeled thermal structures. The results of this study not only illustrate the quality of the measurements and retrieval products but also demonstrate the capability of these validation systems which are put in place to validate current and future hyperspectral sounding instruments and their scientific products.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel K. Zhou, William L. Smith Sr., Vincenzo Cuomo, Jonathan P. Taylor, Christopher D Barnet, Paolo Di Girolamo, Gelsomina Pappalardo, Allen M. Larar, Xu Liu, Stuart M. Newman, Clare Lee, and Stephen A Mango "AIRS retrieval validation during the EAQUATE", Proc. SPIE 6362, Remote Sensing of Clouds and the Atmosphere XI, 636224 (12 October 2006); https://doi.org/10.1117/12.689024
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KEYWORDS
Satellites

LIDAR

Raman spectroscopy

Humidity

Clouds

Temperature metrology

Skin

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