Data assimilation has been successfully applied in atmospheric, oceanic, and land surface models. However, the fourdimensional variational (4DVar) assimilation system demands great computational costs. The authors introduced a new HistoricalSampleProjection data assimilation scheme(HSP4DVar), and accomplished the HSP4DVar land surface data assimilation system based on the Common Land Model(CoLM). As a scheme which requires no adjoint models, HSP4DVar can be directly solved and easily realized, therefore avoids high computational costs. The land surface data assimilation system was used to assimilate the soil moisture data for 56 months. After assimilation, the overall rootmeansquare error was significantly reduced with improved simulations, especially the simulation for the top 1000 mm layer.
赵海贝,王斌,戴永久.2009.基于历史样本投影的四维变分陆面数据同化方法及其初步应用[J].气候与环境研究,14(4):383-389. Zhao Haibei, Wang Bin, Dai Yongjiu.2009. Historical Sample Projection Four Dimensional Variational Land Surface Data Assimilation and Its Preliminary Application[J]. Climatic and Environmental Research (in Chinese],14(4):383-389.Copy