| タイトル | AIRS Impact on Analysis and Forecast of an Extreme Rainfall Event (Indus River Valley 2010) with a Global Data Assimilation and Forecast System |
| 著者（英） | Lau, W. K.; Susskind, J.; Reale, O.; Rosenberg, R. |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2011-01-01 |
| 言語 | eng |
| 内容記述 | A set of data assimilation and forecast experiments are performed with the NASA Global data assimilation and forecast system GEOS-5, to compare the impact of different approaches towards assimilation of Advanced Infrared Spectrometer (AIRS) data on the precipitation analysis and forecast skill. The event chosen is an extreme rainfall episode which occurred in late July 11 2010 in Pakistan, causing massive floods along the Indus River Valley. Results show that the assimilation of quality-controlled AIRS temperature retrievals obtained under partly cloudy conditions produce better precipitation analyses, and substantially better 7-day forecasts, than assimilation of clear-sky radiances. The improvement of precipitation forecast skill up to 7 day is very significant in the tropics, and is caused by an improved representation, attributed to cloudy retrieval assimilation, of two contributing mechanisms: the low-level moisture advection, and the concentration of moisture over the area in the days preceding the precipitation peak. |
| NASA分類 | Meteorology and Climatology |
| レポートNO | GSFC.JA.5014.2011 |
| 権利 | Copyright |
|
