Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances

Suzanne Wetzel Seemann; Jun Li; Liam E. Gumley; Kathleen I. Strabala; W. Paul Menzel

doi:10.1117/12.466686

16 June 2003 Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances

Suzanne Wetzel Seemann, Jun Li, Liam E. Gumley, Kathleen I. Strabala, W. Paul Menzel

Proceedings Volume 4895, Applications with Weather Satellites; (2003) https://doi.org/10.1117/12.466686
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

The algorithm for retrieving atmospheric temperature, moisture, and total column ozone using the Moderate Resolution Imaging Spectroradiometer (MODIS) longwave infrared radiances is presented. The operational MODIS algorithm performs clear sky retrievals globally over land and ocean for both day and night. The algorithm is based on a regression and has an option to follow the statistical retrieval with a nonlinear physical retrieval. The regression coefficients are determined from an extension of the NOAA-88 data set containing more than 8400 global radiosonde measurements of atmospheric temperature, moisture and ozone profiles. Evaluation of atmospheric products is performed by a comparison with data from ground-based instrumentation, geostationary infrared sounders, and polar orbiting microwave sounders. MODIS moisture products are in general agreement with the gradients and distributions from the other satellites, while MODIS depicts more detailed structure with its improved spatial resolution.

Citation Download Citation

Suzanne Wetzel Seemann, Jun Li, Liam E. Gumley, Kathleen I. Strabala, and W. Paul Menzel "Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances", Proc. SPIE 4895, Applications with Weather Satellites, (16 June 2003); https://doi.org/10.1117/12.466686

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