A 3DVAR land data assimilation scheme Part 2: Test with ECMWF ERA-40

Lanjun Zou; Wei Gao; Tongwen Wu; Xiaofeng Xu; Bingyu Du; James Slusser

doi:10.1117/12.679991

28 September 2006 A 3DVAR land data assimilation scheme: Part 2. Test with ECMWF ERA-40

Lanjun Zou, Wei Gao, Tongwen Wu, Xiaofeng Xu, Bingyu Du, James Slusser

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 62981M (2006) https://doi.org/10.1117/12.679991
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

In the first part of this paper, a 3DVar Land Data Assimilation Scheme (LDAS) is presented. With virtue of this land data assimilation system, this part of the paper demonstrates the results and error analysis of assimilating air temperature data observed at various meteorological stations in China into the output of ECMWF ERA-40. The air temperature distribution of sparse observation zones is obtained, which shows the validity of the assimilation procedure. The 3DVar LDAS can greatly improve the ECMWF background estimates with the high quality observations of air temperature from the Chinese meteorological stations. By comparing the assimilated air temperature field and the ECMWF background field to the observations, the assimilation outputs have better agreement with the air temperature variation trend than the ECMWF background. Another advantage of the assimilated result is that it can describe the extreme air temperature more accurately.

Citation Download Citation

Lanjun Zou, Wei Gao, Tongwen Wu, Xiaofeng Xu, Bingyu Du, and James Slusser "A 3DVAR land data assimilation scheme: Part 2. Test with ECMWF ERA-40", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981M (28 September 2006); https://doi.org/10.1117/12.679991

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