A Two-Dimensional Histogram Procedure to Analyze Cloud Cover from NOAA Satellite High-Resolution Imagery

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  • 1 Météorologie Nationale, EERM, Centre de Météorologie Spatiale, 22302 Lannion, France
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Abstract

A two-dimensional histogram method for cloud analysis from NOAA satellite high-resolution imagery is presented. The algorithm, using one visible or near-infrared channel and one infrared channel of the Advanced Very High Resolution Radiometer (AVHRR), applies to arrays segmented according to the temperature sounder (TOVS) grid; up to five cloud levels are identified in addition to the surface. A comparison with visual nephanalysis has been carried out for various cloud situations: the use of near-infrared radiance appears to give consistently better results than the visible radiance, leading to an agreement in about 87% of the cases for total cloud cover. Possible further improvements are discussed.

Abstract

A two-dimensional histogram method for cloud analysis from NOAA satellite high-resolution imagery is presented. The algorithm, using one visible or near-infrared channel and one infrared channel of the Advanced Very High Resolution Radiometer (AVHRR), applies to arrays segmented according to the temperature sounder (TOVS) grid; up to five cloud levels are identified in addition to the surface. A comparison with visual nephanalysis has been carried out for various cloud situations: the use of near-infrared radiance appears to give consistently better results than the visible radiance, leading to an agreement in about 87% of the cases for total cloud cover. Possible further improvements are discussed.

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