Paper
13 October 2008 Cloud and thermodynamic parameters retrieved from satellite ultraspectral infrared measurements
Author Affiliations +
Proceedings Volume 7107, Remote Sensing of Clouds and the Atmosphere XIII; 71070N (2008) https://doi.org/10.1117/12.800327
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
Atmospheric thermodynamic parameters and surface properties are basic meteorological variables for weather forecasting. A physical geophysical parameter retrieval scheme dealing with cloudy and cloud-free radiances observed with satellite ultraspectral infrared sounders has been developed and applied to data from the Infrared Atmospheric Sounding Interferometer (IASI) and the Atmospheric InfraRed Sounder (AIRS). The retrieved parameters presented herein are from radiance data gathered during the Joint Airborne IASI Validation Experiment (JAIVEx). JAIVEx provided intensive aircraft observations obtained from airborne Fourier Transform Spectrometer (FTS) systems, in-situ measurements, and dedicated dropsonde and radiosonde measurements for the validation of the IASI products. Here, IASI atmospheric profile retrievals are compared with those obtained from dedicated dropsondes, radiosondes, and the airborne FTS system. The IASI examples presented here demonstrate the ability to retrieve fine-scale horizontal features with high vertical resolution from satellite ultraspectral sounder radiance spectra.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel K. Zhou, William L. Smith, Allen M. Larar, Xu Liu, Jonathan P. Taylor, Peter Schlüssel, L. Larrabee Strow, and Stephen A. Mango "Cloud and thermodynamic parameters retrieved from satellite ultraspectral infrared measurements", Proc. SPIE 7107, Remote Sensing of Clouds and the Atmosphere XIII, 71070N (13 October 2008); https://doi.org/10.1117/12.800327
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KEYWORDS
Clouds

Satellites

Infrared radiation

Temperature metrology

Skin

Fourier transforms

Algorithm development

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