一种基于误差分级的土壤水分数据同化方法

CORC > 北京大学 > 地球与空间科学学院

	一种基于误差分级的土壤水分数据同化方法; A regional soil moisture data assimilation method based on observation error estimation
	刘明超 ; 秦其明 ; 吴春雷 ; 王金梁 ; 董恒
刊名	干旱区资源与环境
	2012
关键词	短波红外垂直失水指数数据同化观测误差 BEPS模型 SPSI data assimilation observation Error BEPS
英文摘要	将多源观测数据同化到生态模型中,可以更好地估计土壤水分,然而如何准确估计土壤水分遥感观测值的误差空间分布一直是数据同化中的难点。文中研究通过SPSI（Shortwave Infrared Perpendicular WaterStress Index）反演的土壤湿度作为观测值,分析SPSI反演土壤水分的原理,提出了基于地表植被覆盖程度,分级反演土壤水分的方法,给予观测值不同的误差方差估计。文中选择中国的宁夏作为研究区,将分级反演的观测值与生态过程模型模拟的土壤水分进行数据同化。结果表明：这种方法能够有效地避免SPSI指数本身对植被覆盖度低或植被生物量小的地区的土壤水分估计误差较大而导致的同化结果的偏差,提高区域土壤水分同化结果的精度。; Soil moisture could be better estimated through assimilating various observations into ecosystem models in order to effectively use all sources of information.While,accurate estimation of the spatial distribution of observation error is always difficult due to its spatial heterogeneity.In this study,SPSI was used to get the observation soil moisture.A classified inversion method which based on vegetation coverage has been put forward.In the method,different functions are selected to invert soil moisture which is based on the LAI level of each pixel,and also the error of each inversion result is based on the selected function.A case study was conducted in several areas in Ningxia province of China.The soil moisture inverted by SPSI was used as observation data to be assimilated into BEPS(Boreal Ecosystem Productivity Simulator).The result demonstrated that the method considering the spatial distribution of error variance in soil moisture from remote sensing can not only improve the model prediction of daily soil moisture,but also help to understand the spatial variations of soil moisture better.; 国家自然科学基金; 中文核心期刊要目总览(PKU); 中国科学引文数据库(CSCD); 中国社会科学引文索引(CSSCI); 0; 11; 139-144; 26
语种	中文
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/184729]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	刘明超,秦其明,吴春雷,等. 一种基于误差分级的土壤水分数据同化方法, A regional soil moisture data assimilation method based on observation error estimation[J]. 干旱区资源与环境,2012.
APA	刘明超,秦其明,吴春雷,王金梁,&董恒.(2012).一种基于误差分级的土壤水分数据同化方法.干旱区资源与环境.
MLA	刘明超,et al."一种基于误差分级的土壤水分数据同化方法".干旱区资源与环境 (2012).