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contributor authorPlokhenko, Youri
contributor authorMenzel, W. Paul
date accessioned2017-06-09T14:07:46Z
date available2017-06-09T14:07:46Z
date copyright2001/03/01
date issued2001
identifier issn0894-8763
identifier otherams-12969.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148366
description abstractThe accuracy of temperature and moisture vertical profiles retrieved from infrared spectral measurements is dependent on accurate definition of all contributions from the observed ?surface?atmosphere? system to the outgoing radiances. The associated inverse problem is ill posed. Instrument noise is a major contributor to errors in modeling spectral measurements. This paper considers an approach for noise reduction in the Geostationary Operational Environmental Satellite (GOES) spectral channels using spatial averaging that is based upon spectral characteristics of the measurements, spatial properties of atmospheric fields of temperature and moisture, and properties of the inverse problem. Spatial averaging over different fields of regard is studied for the GOES-8 sounder spectral bands. Results of the statistical analysis are presented.
publisherAmerican Meteorological Society
titleMathematical Aspects in Meteorological Processing of Infrared Spectral Measurements from the GOES Sounder. Part I: Constructing the Measurement Estimate Using Spatial Smoothing
typeJournal Paper
journal volume40
journal issue3
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(2001)040<0556:MAIMPO>2.0.CO;2
journal fristpage556
journal lastpage567
treeJournal of Applied Meteorology:;2001:;volume( 040 ):;issue: 003
contenttypeFulltext


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