收稿日期: 2006-10-11
修回日期: 2006-11-15
网络出版日期: 2006-12-15
基金资助
国家自然科学基金项目“地表地下水文机制集成与区域气候模式的双向耦合”(编号:90411007);国家重点基础研究专项经费项目“复杂流动问题的高性能算法研究”(编号:2005CB321703);中国科学院创新团队国际合作伙伴计划项目“气候系统模式研发及应用研究”资助.
A Soil Moisture Assimilation Scheme With an Unsaturated Soil Water Flow Model and In-Site Observation
Received date: 2006-10-11
Revised date: 2006-11-15
Online published: 2006-12-15
田向军 , 陈锋 , 张生雷 , 师春香 , 谢正辉 . 基于土壤水模型及站点资料的土壤湿度同化方法[J]. 地球科学进展, 2006 , 21(12) : 1350 -1362 . DOI: 10.11867/j.issn.1001-8166.2006.12.1350
A soil moisture assimilation scheme based on the extended Kalman filter(EKF)and an unsaturated soil water flow model is developed and numerical experiments using synthetic data and numerical simulation with in-site observations are presented. The numerical experiments show that the assimilation scheme improve estimation of soil moisture, the frequency of observation, the depth and the layers at which observation is introduced have the influence on assimilation. The assimilation experiments with in-site observations and infiltration derived from meteorologic forcing condition and the land surface model VIC show the monthly and seasonal variation of soil moisture, which show that the assimilation scheme is reasonable.
Key words: Soil moisture; Extended Kalman Filter; Land data assimilation.
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