电子科技大学学报Issue(3)：393-399,7.DOI:10.3969/j.issn.1001-0548.2014.03.013
集合卡尔曼滤波同化估算地表水热通量的研究
Estimating Surface Turbulent Fluxes by Using by Ensemble Kalman Filter Method
摘要
Abstract
Nowadays, more attention has been focused on the estimation of the land surface turbulent fluxes (sensible and latent heat fluxes) with data assimilation method. In this study, a sequential data assimilation scheme is developed based on the concept of the Ensemble Kalman filter (EnKF). It assimilates land surface temperature into a simple land surface model which based on the energy balance theory for the estimation of surface turbulent fluxes. Moreover, from the perspective of error estimation, the simple schemes for estimating model errors and ensemble size are discussed. After construction of the assimilation system, the several numerical experiments tested by Yucheng cropland site in the province of Shandong. Results show that the land surface turbulent fluxes can be retrieved with satisfactory accuracy by using our method(compared to MODIS ET products(MOD16A2), the RMSE of ET results are dropped from 4.18 mm to 2.99 mm), which indicate the availability of our method in the prediction of surface turbulent fluxes.关键词
集合卡尔曼滤波/陆面过程模型/地表温度/顺序滤波的同化/地表水热通量Key words
ensemble Kalman filter/land surface model/land surface temperature/sequential assimilation/surface turbulent fluxes分类
信息技术与安全科学引用本文复制引用
刘翔舸,王鹏新,唐伯惠,黄健熙,陶欣..集合卡尔曼滤波同化估算地表水热通量的研究[J].电子科技大学学报,2014,(3):393-399,7.基金项目
国家自然科学基金(40901161) （40901161）
