Cloud Detection and Clearing Algorithm for Simulated Measurement Of Pollution In The Troposphere (MOPITT) Instrument Data

Laurie Rokke; John Gille; Liwen Pan; Paul Bailey; David Edwards

doi:10.1364/ORSA.1997.OThA.2

Optical Remote Sensing of the Atmosphere
Technical Digest Series (Optica Publishing Group, 1997),
paper OThA.2
•https://doi.org/10.1364/ORSA.1997.OThA.2

Cloud Detection and Clearing Algorithm for Simulated Measurement Of Pollution In The Troposphere (MOPITT) Instrument Data

Laurie Rokke, John Gille, Liwen Pan, Paul Bailey, and David Edwards

Optical Remote Sensing of the Atmosphere 1997

Santa Fe, New Mexico United States
10–14 February 1997
ISBN:

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Constituent Sensing from Space: II (OThA)

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L. Rokke, J. Gille, L. Pan, P. Bailey, and D. Edwards, "Cloud Detection and Clearing Algorithm for Simulated Measurement Of Pollution In The Troposphere (MOPITT) Instrument Data," in Optical Remote Sensing of the Atmosphere, Technical Digest Series (Optica Publishing Group, 1997), paper OThA.2.

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Abstract

The attenuation of radiation by clouds in the Measurement Of Pollution In The Troposphere (MOPITT) field of view will have a significant impact on the signals measured at 2.2µm, 2.3µm and 4.7µm. In a four-year cloud study by Wylie et al.(1994), using High Resolution Infrared Radiation Sounder (HIRS) data, they found only 23% of the observations were cloud free. HIRS has a field of view of 20 km which compares well to the 22x22 km field of view of MOPITT. Thus MOPITT can expect over 75% of the observations to be cloud contaminated.

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