地球科学进展 ›› 2012, Vol. 27 ›› Issue (4): 424 -434. doi: 10.11867/j.issn.1001-8166.2012.04.0424

综述与评述 上一篇    下一篇

土壤湿度观测、模拟和估算研究
李得勤 1,段云霞 2,张述文 3*   
  1. 1.中国气象局沈阳大气环境研究所,辽宁沈阳110016;
    2.沈阳市气象台,辽宁沈阳110168;
    3.兰州大学大气科学学院,甘肃兰州730000
  • 收稿日期:2011-11-09 修回日期:2012-02-16 出版日期:2012-04-10
  • 通讯作者: 张述文(1966-),男,河南固始人,教授,主要从事陆—气相互作用、气象资料同化算法等研究. E-mail:zhangsw@lzu.edu.cn
  • 基金资助:

    国家自然科学基金项目“参数优化和数据同化用于估算土壤湿度的研究”(编号:41105064)和“有预报误差的土壤湿度估算研究”(编号:41075074)资助.

Soil Moisture Measurement and Simulation: A Review

Li Deqin 1, Duan Yunxia 2, Zhang Shuwen 3   

  1. 1. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang110016, China;
    2.Shenyang Meteorological Service, Shenyang110168, China;
    3.College of Atmospheric Sciences, Lanzhou University, Lanzhou730000, China
  • Received:2011-11-09 Revised:2012-02-16 Online:2012-04-10 Published:2012-04-10

总结土壤湿度的观测手段和土壤湿度数据集建立的现状,详细阐述与土壤湿度模拟有关的方程离散化求解、物理和生化过程、陆面过程模式比较和陆面模式参数优化等方面的研究进展;综述估算土壤湿度廓线的数据同化方法,仔细比较集合卡曼滤波(EnKF)和四维变分(4-D Var)2类目前流行的同化算法,并对估算土壤湿度廓线的研究工作进行全面评估;最后,对土壤湿度观测、模拟和同化中需继续努力的方向进行了思索和展望。

Firstly, the observational techniques for soil moisture and the current situation of soil moisture databank are summarized, and the different aspects related to soil moisture simulation are carefully investigated, including the discretization schemes for Richards equation, the physical and biochemical processes in land surface model, the intercomparison of land surface models and the estimation of optimal parameters and uncertainties. Secondly, different data assimilation algorithms are reviewed, especially two widely used methods, i.e., 4-Dimensional Variational assimilation(4-D var)and Ensemble Kalman Filter(EnKF), are compared in detail, and also recent progresses in application of land data assimilation are evaluated. Finally, some considerations of future directions of research are discussed. 

中图分类号: 

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