A REGRESSION METHOD FOR OBTAINING REAL-T ME TEMPERATURE AND GEOPOTENTlAL HEIGHT PROFILES FROM SATELLITE SPECTROMETER MEASUREME AND ITS APPLICATION TO NIMBUS
نویسندگان
چکیده
A least squares regression method is formulated for obtaining global temperature and geopotential height profiles from satellite radiation measurements, particularly those obtained by the Satellite Infra-Red Spectrometer (SIRS) aboard the Nimbus 3 satellite launched Apr. 14, 1969. Regression equations relating temperature and geopotential height to spectral radiance observations are derived. A method accounting for the influence of clouds, mountains, and hot terrain on the solutions is described. Results obtained from Nimbus 3 radiance data are presented. The procedure described herein has been successfully applied to Nimbus 3 SIRS observations on a real-time basis. The temperature and geopotential heights obtained are being used operationally by the National Meteorolo'gical Center in their objective constant pressure analyses. Numerous meteorological results are given t o demonstrate the usefulness of this new sounding tool.
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