Paper
30 October 2007 Dust aerosol optical depth retrieval over desert surface using the SEVIRI window channels
Bart De Paepe, Steven Dewitte
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Abstract
Dust aerosols have an impact in the thermal infrared wavelengths that we can use to detect aerosols over desert surfaces. To retrieve the aerosol properties over land, we have to account for the surface contribution. The surface radiation depends on the skin temperature, which is characterized by a strong diurnal variation. Therefore, it is better to use the surface emissivity, which we assume constant over a time span of 24 hours.1 The surface emissivity is based on clear sky observations that are corrected for atmospheric extinction and emission. The clear sky image is a composite of pixels that is characterized by the highest brightness temperature of the SEVIRI channel at 10.8μm. Due to the lower temperatures of clouds and aerosols we can assume that the selected pixel values are obtained for a clear sky day. We use a forward model to simulate the thermal infrared radiation transfer in the dust layer. The apparent surface radiation in the presence of aerosols is calculated as a function of the geometric angles, the surface emissivity, and the aerosol optical depth (AOD). This is stored in lookup tables (LUT) that are inverted to retrieve the AOD from the observed apparent surface radiation. The retrieval algorithm consists of firstly, processing the clear sky image and computing the surface emissivity, secondly, processing of the instantaneous image and computing the apparent surface radiation, and thirdly, selecting the corresponding LUT and retrieving the AOD that matches to the observed apparent surface radiation.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bart De Paepe and Steven Dewitte "Dust aerosol optical depth retrieval over desert surface using the SEVIRI window channels", Proc. SPIE 6745, Remote Sensing of Clouds and the Atmosphere XII, 67450B (30 October 2007); https://doi.org/10.1117/12.731734
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KEYWORDS
Aerosols

Satellites

Atmospheric particles

Atmospheric modeling

Clouds

Skin

Channel projecting optics

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