| contributor author | Vivekanandan, J. | |
| contributor author | Ellis, S. M. | |
| contributor author | Oye, R. | |
| contributor author | Zrnic, D. S. | |
| contributor author | Ryzhkov, A. V. | |
| contributor author | Straka, J. | |
| date accessioned | 2017-06-09T14:42:19Z | |
| date available | 2017-06-09T14:42:19Z | |
| date copyright | 1999/03/01 | |
| date issued | 1999 | |
| identifier issn | 0003-0007 | |
| identifier other | ams-24861.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4161580 | |
| description abstract | Recent studies have shown the utility of polarimetric radar observables and derived fields for discrimination of hydrometeor particle types. Because the values of the radar observables that delineate different particle types overlap and are not sharply defined, the problem is well suited for a fuzzy logic approach. In this preliminary study the authors have developed and implemented a fuzzy logic algorithm for hydrometeor particle identification that is simple and efficient enough to run in real time for operational use. Although there are no in situ measurements available for this particle-type verification, the initial results are encouraging. Plans for further verification and optimization of the algorithm are described. | |
| publisher | American Meteorological Society | |
| title | Cloud Microphysics Retrieval Using S-band Dual-Polarization Radar Measurements | |
| type | Journal Paper | |
| journal volume | 80 | |
| journal issue | 3 | |
| journal title | Bulletin of the American Meteorological Society | |
| identifier doi | 10.1175/1520-0477(1999)080<0381:CMRUSB>2.0.CO;2 | |
| journal fristpage | 381 | |
| journal lastpage | 388 | |
| tree | Bulletin of the American Meteorological Society:;1999:;volume( 080 ):;issue: 003 | |
| contenttype | Fulltext | |
