| タイトル | Impact of TRMM and SSM/I Rainfall Assimilation on Global Analysis and QPF |
| 著者（英） | Reale, Oreste; Zhang, Sara; Hou, Arthur |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2002-01-01 |
| 言語 | eng |
| 内容記述 | Evaluation of QPF skills requires quantitatively accurate precipitation analyses. We show that assimilation of surface rain rates derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager and Special Sensor Microwave/Imager (SSM/I) improves quantitative precipitation estimates (QPE) and many aspects of global analyses. Short-range forecasts initialized with analyses with satellite rainfall data generally yield significantly higher QPF threat scores and better storm track predictions. These results were obtained using a variational procedure that minimizes the difference between the observed and model rain rates by correcting the moist physics tendency of the forecast model over a 6h assimilation window. In two case studies of Hurricanes Bonnie and Floyd, synoptic analysis shows that this procedure produces initial conditions with better-defined tropical storm features and stronger precipitation intensity associated with the storm. |
| NASA分類 | Meteorology and Climatology |
| 権利 | No Copyright |
