| contributor author | Park, Rae-Seol | |
| contributor author | Chae, Jung-Hyo | |
| contributor author | Hong, Song-You | |
| date accessioned | 2017-06-09T17:33:20Z | |
| date available | 2017-06-09T17:33:20Z | |
| date copyright | 2016/03/01 | |
| date issued | 2016 | |
| identifier issn | 0027-0644 | |
| identifier other | ams-87159.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4230797 | |
| description abstract | n this study, a revised prognostic cloud fraction scheme for atmospheric models is proposed and its performance is evaluated with a diagnostic cloud fraction scheme. A revision is proposed through a direct linkage between hydrometeors in the cumulus parameterization scheme and the amount of predicted cloud fractions. Cloud fractions that are determined via the prognostic cloud fraction scheme appear to be more realistic than those determined via a diagnostic cloud fraction scheme when both are compared with satellite data. In a medium-range forecast test bed, the biases of large-scale features such as temperature, geopotential height, and mean sea level pressure are moderately reduced when the prognostic cloud fraction scheme is used. | |
| publisher | American Meteorological Society | |
| title | A Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 3 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-15-0273.1 | |
| journal fristpage | 1219 | |
| journal lastpage | 1229 | |
| tree | Monthly Weather Review:;2016:;volume( 144 ):;issue: 003 | |
| contenttype | Fulltext | |