气候变化领域集成服务门户(CCPortal): Covariance resampling for particle filter-state and parameter estimation for soil hydrology

CCPortal

DOI	10.5194/hess-23-1163-2019
	Covariance resampling for particle filter-state and parameter estimation for soil hydrology
	Berg D.; Bauser H.H.; Roth K.
发表日期	2019
ISSN	1027-5606
起始页码	1163
结束页码	1178
卷号	23 期号:2
英文摘要	Particle filters are becoming increasingly popular for state and parameter estimation in hydrology. One of their crucial parts is the resampling after the assimilation step. We introduce a resampling method that uses the full weighted covariance information calculated from the ensemble to generate new particles and effectively avoid filter degeneracy. The ensemble covariance contains information between observed and unobserved dimensions and is used to fill the gaps between them. The covariance resampling approximately conserves the first two statistical moments and partly maintains the structure of the estimated distribution in the retained ensemble. The effectiveness of this method is demonstrated with a synthetic case- A n unsaturated soil consisting of two homogeneous layers-by assimilating time-domain reflectometry-like (TDR-like) measurements. Using this approach we can estimate state and parameters for a rough initial guess with 100 particles. The estimated states and parameters are tested with a forecast after the assimilation, which is found to be in good agreement with the synthetic truth. © 2019 Author(s).
语种	英语
scopus关键词	Distributed computer systems; Hydrology; Monte Carlo methods; Time domain analysis; Homogeneous layers; Particle filter; Resampling method; State and parameter estimations; Statistical moments; Time domain reflectometry; Unsaturated soil; Weighted covariance; Parameter estimation; covariance analysis; detection method; filter; hydrology; measurement method; numerical method; parameter estimation; parameterization; sampling; soil water
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159744
作者单位	Berg, D., Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany, HGS MathComp, Heidelberg University, Heidelberg, Germany; Bauser, H.H., Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany, HGS MathComp, Heidelberg University, Heidelberg, Germany; Roth, K., Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany, Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
推荐引用方式 GB/T 7714	Berg D.,Bauser H.H.,Roth K.. Covariance resampling for particle filter-state and parameter estimation for soil hydrology[J],2019,23(2).
APA	Berg D.,Bauser H.H.,&Roth K..(2019).Covariance resampling for particle filter-state and parameter estimation for soil hydrology.Hydrology and Earth System Sciences,23(2).
MLA	Berg D.,et al."Covariance resampling for particle filter-state and parameter estimation for soil hydrology".Hydrology and Earth System Sciences 23.2(2019).