Advanced Retrieval and Analysis of Satellite Data for Numerical Weather Prediction
Abstract
This reports documents the development and testing of an advanced geophysical parameter retrieval, analysis and prediction system for global numerical weather prediction. The additions and improvements to the existing data assimilation system at the Phillips Laboratory are the following: a new surface pressure analysis, modifications for high resolution analysis, an optimal retrieval of SSM/T data based on Bayesian estimation, use of precipitation data to improve the moisture and divergence analysis and as input to a diabatic nonlinear normal mode initialization. The system uses a version of the advanced physics global spectral model of PL. The results of simulation tests show a significant improvement of the moisture analyses, especially in the tropics and Southern Hemisphere, and a smaller, but detectable improvement of the other variables, except in the stratosphere.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 10, 1992
- Accession Number
- ADA260036
Entities
People
- C. Grassotti
- J. F. Louis
- J. L. Moncet
- M. Mickelson
- R. G. Isaacs
- R. N. Hoffman
- T. Nehrkorn
Organizations
- Atmospheric and Environmental Research, Inc