| contributor author | Hillger, Donald W. | |
| contributor author | Purdom, James F. W. | |
| date accessioned | 2017-06-09T14:03:22Z | |
| date available | 2017-06-09T14:03:22Z | |
| date copyright | 1990/12/01 | |
| date issued | 1990 | |
| identifier issn | 0894-8763 | |
| identifier other | ams-11635.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4146885 | |
| description abstract | Clustering is used to enhance mesoscale meteorological detail in retrievals produced from satellite sounding measurements. By placing sounding fields-of-view (FOVs) into groups of similar measurements, mesoscale details are reinforced, compared to arbitrary grouping of FOVs into a fixed block size. Clustering takes advantage of similarity among the measurements to avoid smearing gradient information. A case study is presented showing the advantage of clustering as applied to the satellite sounding problem. | |
| publisher | American Meteorological Society | |
| title | Clustering of Satellite Sounding Radiances to Enhance Mesoscale Meteorological Retrievals | |
| type | Journal Paper | |
| journal volume | 29 | |
| journal issue | 12 | |
| journal title | Journal of Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1990)029<1344:COSSRT>2.0.CO;2 | |
| journal fristpage | 1344 | |
| journal lastpage | 1351 | |
| tree | Journal of Applied Meteorology:;1990:;volume( 029 ):;issue: 012 | |
| contenttype | Fulltext | |