Name
Title | ||
|---|---|---|
Bayesian estimation of precipitating cloud parameters from combined measurements of spaceborne microwave radiometer and radar |
Abstract | ||
|---|---|---|
The objective of this paper is to evaluate the potential of a Bayesian inversion algorithm using microwave multisen- sor data for the retrieval of surface rainfall rate and cloud parameters. The retrieval scheme is based on the maximum a posteriori probability (MAP) method, extended to the use of both spaceborne passive and active microwave data. The MAP technique for precipitation profiling is also proposed to approach the problem of the radar-swath synthetic broadening; that is, the capability to exploit the combined information also where only radiometric data are available. In order to show an application to airborne data, two case studies are selected within the tropi- cal ocean-global atmosphere coupled ocean-atmosphere response experiment (TOGA-COARE). They refer to a stratiform storm region and an intense squall line of two mesoscale convec- tive systems, which occurred over ocean on February 20 and 22, 1993, respectively. The estimated rainfall rates and columnar hydrometeor contents derived from the proposed algorithms are compared to each other and to radar estimates based on reflectivity-rainrate ( - - - ) relationships. Results in terms of reflectivity profiles and upwelling brightness temperatures, recon- structed from the estimated cloud structures, are also discussed. A database of combined measurements acquired at nadir during various TOGA-COARE flights, is used for applying the radar- swath synthetic broadening technique in the case of along-track radar-failure countermeasure. A simulated test of the latter technique is performed using the case studies of February 20 and 22, 1993. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/36.739124 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
Bayes methods,atmospheric techniques,clouds,maximum likelihood estimation,meteorological radar,microwave measurement,radiometry,rain,remote sensing by radar,spaceborne radar,storms,AD 1993 02 20,AD 1993 02 23,Bayesian estimation,Bayesian inversion algorithm,MAP method,TOGA-COARE,Tropical Ocean-Global Atmosphere Coupled Ocean-Atmosphere Response Experiment,active microwave data,along-track radar-failure countermeasure,columnar hydrometeor contents,intense squall line,maximum a posteriori probability,mesoscale convective systems,microwave multisensor data,passive microwave data,precipitating cloud parameters,radar-swath synthetic broadening,rainfall rates,reflectivity profiles,reflectivity-rainrate relationships,spaceborne microwave radar data,spaceborne microwave radiometer data,stratiform storm region,surface rainfall rate,tropics,upwelling brightness temperatures | Nadir,Radar,Meteorology,Remote sensing,Mesoscale meteorology,Radiometry,Squall line,Maximum a posteriori estimation,Brightness,Mathematics,Microwave radiometer | Journal |
Volume | Issue | ISSN |
37 | 1 | 0196-2892 |
Citations | PageRank | References |
24 | 7.99 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marzano, F.S. | 1 | 73 | 14.77 |
| Alberto Mugnai | 2 | 56 | 17.07 |
| Giulia Panegrossi | 3 | 52 | 16.68 |
| N. Pierdicca | 4 | 120 | 22.57 |