Satellite Sounding Applications at the Synoptic Scale and as Input to Global Numerical Models.
Final rept. 1 Apr 82-30 Jun 83,
COLORADO STATE UNIV FORT COLLINS DEPT OF ATMOSPHERIC SCIENCE
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This Final Report is a summary which describes previously reported research done for AFGL under this contract. It also includes a report of the latest research results. The new results include a new statistical procedure for retrieving water vapor profiles from satellite radiances. The statistical tools fo empirical orthogonal function EOF analysis and clustering were used to define types of vertical distributions of water vapor. The profile types are used as a basis for classifying soundings, and each class is shown to be characteristic of certain types of weather features. Multiple regression is used to retrieve approximate precipitable water using satellite-derived brightness temperatures simulated for the DMSP SSH-2 infrared sounder. Discriminant analysis is used to retrieve the type of vertical distribution in the water vapor profile. Channel selection is used for optimizing both the regression and the discrimination. It is shown that stratification of soundings by total water content improves discrimination skill. The potential for using the retrieval scheme in numerical modeling and in subjective forecasting is discussed. In addition a new computer program for executing water vapor profile retrievals is presented. The handling of sounding zenith angle variations and cloud contamination are dealt with specifically. A program listing is provided. Author
- Atmospheric Physics
- Statistics and Probability