Publication Date:
2019-07-13
Description:
The paper applies iterated and non-iterated extended Kalman filters to solve two practical meteorological inversion problems. Passive microwave satellite soundings are used to infer vertical temperature profiles and cloud parameters. In both cases it is shown that improvements can be obtained over presently used techniques. Finally, the results suggest that modern multivariate nonlinear recursive estimation techniques based in a Bayesian methodology can be a valuable tool in the area of remote sounding of atmospheric parameters.
Keywords:
METEOROLOGY AND CLIMATOLOGY
Type:
1978 Conference on Decision and Control; Jan 10, 1979 - Jan 12, 1979; San Diego, CA
Format:
text
Permalink