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Improved Analyses and Forecasts With AIRS Temperature Retrievals Using the Local Ensemble Transform Kalman Filter |
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| Authors: | LI Hong LIU Jun-jie Elana FERTIG Eugenia KALNAY Eric KOSTELICH and Istvan SZUNYOGH |
| Institution: | 1. Shanghai Typhoon Institute, and Laboratory of Typhoon Forecast Technique/CMA, Shanghai 200030 China 2. University of California, Berkeley, CA, USA 3. Johns Hopkins University, Baltimore, MD, USA 4. University of Maryland, College Park, MD, USA 5. Arizona State University, Tempe, AZ, USA 6. Texas A&M University, College Station, TX, USA |
| Abstract: | 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,whi... |
| Keywords: | AIRS retrievals data assimilation LETKF observation impact |
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