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The beamfilling algorithm for retrieval of hydrometeor profile parameters from passive microwave measurements
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. 39:117-124
- Publication Year :
- 2001
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2001.
-
Abstract
- The horizontal inhomogeneity of the atmosphere within a satellite microwave radiometer's field of view (FOV) has always been considered as a source of rainfall retrieval errors. The hydrometeor profile retrieval algorithm presented exploits it to obtain an approximation of a radiative transfer model, which allows relatively simple inversion. The atmosphere within the FOV is treated as a combination of horizontally homogeneous domains. Assuming that one of known "basic" hydrometeor profiles occurs in each domain, the inverse problem is reduced to a determination of "beamfilling coefficients." The online procedure includes determination of beamfilling coefficients and a footprint-averaged hydrometeor profile as a linear combination of "basic" ones. Off-line procedures involve the selection of a minimum number of necessary "basic" brightness temperature vectors and correction of "basic" hydrometeor profiles to provide the best retrieval accuracy for a given cloud/radiative simulation. The performance of the algorithm is tested for both numerical simulations and TRMM/TMI data. Numerical simulation has allowed a comparison of the information content of radiometer measurements from SSM/I, TMI, and the future AMSR. The effectiveness of the algorithm is being tested for rain water integral and rain rate retrievals from TRMM TMI measurements.
- Subjects :
- Radiometer
Meteorology
Computer science
Microwave radiometer
Inversion (meteorology)
Atmospheric model
Inverse problem
Atmosphere
Atmospheric radiative transfer codes
Brightness temperature
Radiative transfer
General Earth and Planetary Sciences
Radiometry
Precipitation
Electrical and Electronic Engineering
Algorithm
Physics::Atmospheric and Oceanic Physics
Microwave
Remote sensing
Subjects
Details
- ISSN :
- 01962892
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Accession number :
- edsair.doi...........ef04844d342997df9f4bac9a0c67d792