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土壤湿度观测、模拟和估算研究
引用本文:李得勤,段云霞,张述文.土壤湿度观测、模拟和估算研究[J].地球科学进展,2012,27(4):424-434.
作者姓名:李得勤  段云霞  张述文
作者单位: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
基金项目: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”,“有预报误差的土壤湿度估算研究”
摘    要: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。

关 键 词:土壤湿度  陆面过程  参数优化  数据同化

Soil Moisture Measurement and Simulation:A Review
Li Deqin,Duan Yunxia,Zhang Shuwen.Soil Moisture Measurement and Simulation:A Review[J].Advance in Earth Sciences,2012,27(4):424-434.
Authors:Li Deqin  Duan Yunxia  Zhang Shuwen
Institution: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
Abstract: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.
Keywords:Soil moisture  Land surface process  Parameter calibration  Data assimilation
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