Implicit sampling combined with reduced order modeling for the inversion of vadose zone hydrological data-Reference-Cited by-同舟云学术

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Implicit sampling combined with reduced order modeling for the inversion of vadose zone hydrological data

Published:2017-11 Issue: Volume:108 Page:21-32
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Liu Yaning,Pau George Shu Heng,Finsterle Stefan

Funder

Office of Science, Office of Biological and Environmental Research of the US Department of Energy

Office of Science of the U.S. Department of Energy

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference47 articles.

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2. An introduction to mcmc for machine learning;Andrieu;Mach. Learn.,2003

3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam;Trans. Signal. Proc.,2002

4. Implicit particle methods and their connection with variational data assimilation;Atkins;Mon. Weather Rev.,2013

5. Bayesian compressive sensing using laplace priors;Babacan;IEEE Trans. Image Process.,2010

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1. Coupling analysis of the heat-water dynamics and frozen depth in a seasonally frozen zone;Journal of Hydrology;2021-02

2. Estimating Seasonally Frozen Ground Depth From Historical Climate Data and Site Measurements Using a Bayesian Model;Water Resources Research;2018-07

3. Efficient 3D inversions using the Richards equation;Computers & Geosciences;2018-07

4. iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems;Computers & Geosciences;2017-11

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