期刊
ATMOSPHERIC CHEMISTRY AND PHYSICS
卷 10, 期 5, 页码 2561-2576出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-10-2561-2010
关键词
-
资金
- MOE/GOSAT
- MOE/GER [B-083]
- JST/CREST
- JAXA/EarthCARE
- MEXT/VL
- MEXT/Innovative Program of Climate Change Projection
We present a global aerosol assimilation system based on an Ensemble Kalman filter, which we believe leads to a significant improvement in aerosol fields. The ensemble allows realistic, spatially and temporally variable model covariances (unlike other assimilation schemes). As the analyzed variables are mixing ratios (prognostic variables of the aerosol transport model), there is no need for the extra assumptions required by previous assimilation schemes analyzing aerosol optical thickness (AOT). We describe the implementation of this assimilation system and in particular the construction of the ensemble. This ensemble should represent our estimate of current model uncertainties. Consequently, we construct the ensemble around randomly modified emission scenarios. The system is tested with AERONET observations of AOT and Angstrom exponent (AE). Particular care is taken in prescribing the observational errors. The assimilated fields (AOT and AE) are validated through independent AERONET, SKYNET and MODIS Aqua observations. We show that, in general, assimilation of AOT observations leads to improved modelling of global AOT, while assimilation of AE only improves modelling when the AOT is high.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据