On temporal averaging of polar orbiting satellite data

Computer Science – Sound

Scientific paper

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Scientific paper

The spatial and temporal sampling of polar-orbiting satellites results in errors in some level 3 data products of mean global fields. The problem has been identified in data from the Special Sensor Microwave Imager, Active Microwave Instrument, and the Microwave Sounding Unit and therefore is believed to be ubiquitous to many global data sets from polar-orbiting satellites. Zeng and Levy [1995] have shown that improper spatial smoothing of the monthly mean winds generated from scatterometer data may introduce unacceptable errors in monthly surface flux estimates. They have proposed an effective interpolating and filtering procedure for AMI data. We investigate the severity of the problem and discuss the adaptation of such a scheme to general satellite application.

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