期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
IMPROVED ANALYSES AND FORECASTS WITH AIRS TEMPERATURE RETRIEVALS USING THE LOCAL ENSEMBLE TRANSFORM KALMAN FILTER 被引量:3
1
作者 李泓 柳俊杰 +3 位作者 艾莲娜.费尔蒂歌 尤金尼亚.康奈 埃瑞克.考斯特里奇 伊斯万.苏纽 《Journal of Tropical Meteorology》 SCIE 2011年第1期43-49,共7页
In this paper we investigate the impact of the Atmospheric Infra-Red Sounder (AIRS) temperature retrievals on data assimilation and the resulting forecasts using the four-dimensional Local Ensemble Transform Kalman Fi... In this paper we investigate the impact of the Atmospheric Infra-Red Sounder (AIRS) temperature retrievals on data assimilation and the resulting forecasts using the four-dimensional Local Ensemble Transform Kalman Filter (LETKF) data assimilation scheme and a reduced resolution version of the NCEP Global Forecast System (GFS).Our results indicate that the AIRS temperature retrievals have a significant and consistent positive impact in the Southern Hemispheric extratropics on both analyses and forecasts,which is found not only in the temperature field but also in other variables.In tropics and the Northern Hemispheric extratropics these impacts are smaller,but are still generally positive or neutral. 展开更多
关键词 airs retrievals data assimilation LETKF observation impact
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部