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Title: An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [1]
  1. Zhejiang Provincial Key Laboratory of Agricultural Resources and EnvironmentInstitute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang UniversityHangzhou China
  2. Department of Mathematics and School of Mechanical EngineeringPurdue UniversityWest Lafayette IN USA
  3. Pacific Northwest National LaboratoryRichland WA USA
  4. Department of Environmental SciencesUniversity of CaliforniaRiverside CA USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1433557
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Name: Water Resources Research Journal Volume: 54 Journal Issue: 3; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, and Zeng, Lingzao. An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions. United States: N. p., 2018. Web. doi:10.1002/2017WR020906.
Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, & Zeng, Lingzao. An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions. United States. doi:10.1002/2017WR020906.
Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, and Zeng, Lingzao. Sat . "An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions". United States. doi:10.1002/2017WR020906.
@article{osti_1433557,
title = {An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions},
author = {Zhang, Jiangjiang and Lin, Guang and Li, Weixuan and Wu, Laosheng and Zeng, Lingzao},
abstractNote = {},
doi = {10.1002/2017WR020906},
journal = {Water Resources Research},
number = 3,
volume = 54,
place = {United States},
year = {2018},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1002/2017WR020906

Citation Metrics:
Cited by: 2 works
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Works referenced in this record:

An Ensemble Smoother for Assisted History Matching
conference, April 2013

  • Skjervheim, Jan-arild; Evensen, Geir
  • SPE Reservoir Simulation Symposium
  • DOI: 10.2118/141929-MS

Maximum likelihood Bayesian averaging of spatial variability models in unsaturated fractured tuff: MAXIMUM LIKELIHOOD BAYESIAN MODEL AVERAGING
journal, May 2004

  • Ye, Ming; Neuman, Shlomo P.; Meyer, Philip D.
  • Water Resources Research, Vol. 40, Issue 5
  • DOI: 10.1029/2003WR002557

Data Assimilation and Inverse Methods in Terms of a Probabilistic Formulation
journal, December 1996


Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation: FORCING DATA ERROR USING MCMC SAMPLING
journal, December 2008

  • Vrugt, Jasper A.; ter Braak, Cajo J. F.; Clark, Martyn P.
  • Water Resources Research, Vol. 44, Issue 12
  • DOI: 10.1029/2007WR006720

An efficient, high-order perturbation approach for flow in random porous media via Karhunen–Loève and polynomial expansions
journal, March 2004


Cluster ensemble Kalman filter
journal, January 2007


Some adaptive Monte Carlo methods for Bayesian inference
journal, September 1999


A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
journal, January 2001


Inverse methods in hydrogeology: Evolution and recent trends
journal, January 2014


Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
journal, January 2009

  • Vrugt, J. A.; ter Braak, C. J. F.; Diks, C. G. H.
  • International Journal of Nonlinear Sciences and Numerical Simulation, Vol. 10, Issue 3
  • DOI: 10.1515/IJNSNS.2009.10.3.273

A Bayesian approach to improved calibration and prediction of groundwater models with structural error
journal, November 2015

  • Xu, Tianfang; Valocchi, Albert J.
  • Water Resources Research, Vol. 51, Issue 11
  • DOI: 10.1002/2015WR017912

Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography: PARAMETER ESTIMATION BY tEnKFs
journal, April 2012

  • Schöniger, A.; Nowak, W.; Hendricks Franssen, H. -J.
  • Water Resources Research, Vol. 48, Issue 4
  • DOI: 10.1029/2011WR010462

Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation
journal, December 2016


A local ensemble Kalman filter for atmospheric data assimilation
journal, October 2004


A New Approach to Linear Filtering and Prediction Problems
journal, March 1960

  • Kalman, R. E.
  • Journal of Basic Engineering, Vol. 82, Issue 1
  • DOI: 10.1115/1.3662552

Clustered iterative stochastic ensemble method for multi-modal calibration of subsurface flow models
journal, May 2013


Ensemble smoother with multiple data assimilation
journal, June 2013


A multimodel data assimilation framework via the ensemble Kalman filter
journal, May 2014


Efficient Bayesian experimental design for contaminant source identification
journal, January 2015

  • Zhang, Jiangjiang; Zeng, Lingzao; Chen, Cheng
  • Water Resources Research, Vol. 51, Issue 1
  • DOI: 10.1002/2014WR015740

Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother
journal, December 2011


The Ensemble Kalman Filter in Reservoir Engineering--a Review
journal, September 2009

  • Aanonsen, Sigurd I.; Nævdal, Geir; Oliver, Dean S.
  • SPE Journal, Vol. 14, Issue 03
  • DOI: 10.2118/117274-PA

Equation of State Calculations by Fast Computing Machines
journal, June 1953

  • Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.
  • The Journal of Chemical Physics, Vol. 21, Issue 6
  • DOI: 10.1063/1.1699114

A sparse grid based Bayesian method for contaminant source identification
journal, March 2012


Monte Carlo sampling methods using Markov chains and their applications
journal, April 1970


History matching of facies distribution with the EnKF and level set parameterization
journal, October 2010

  • Chang, Haibin; Zhang, Dongxiao; Lu, Zhiming
  • Journal of Computational Physics, Vol. 229, Issue 20
  • DOI: 10.1016/j.jcp.2010.07.005

History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations
journal, January 2012


Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation
journal, January 2013


Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
journal, January 1994

  • Evensen, Geir
  • Journal of Geophysical Research, Vol. 99, Issue C5
  • DOI: 10.1029/94JC00572

Toward a nonlinear ensemble filter for high-dimensional systems: TOWARD A NONLINEAR ENSEMBLE FILTER
journal, December 2003

  • Bengtsson, Thomas; Snyder, Chris; Nychka, Doug
  • Journal of Geophysical Research: Atmospheres, Vol. 108, Issue D24
  • DOI: 10.1029/2002JD002900

Estimating Channelized-Reservoir Permeabilities With the Ensemble Kalman Filter: The Importance of Ensemble Design
journal, June 2009

  • Jafarpour, Behnam; McLaughlin, Dennis B.
  • SPE Journal, Vol. 14, Issue 02
  • DOI: 10.2118/108941-PA

Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice
journal, September 2016


An Iterative Ensemble Kalman Filter
journal, August 2011

  • Lorentzen, Rolf J.; Naevdal, Geir
  • IEEE Transactions on Automatic Control, Vol. 56, Issue 8
  • DOI: 10.1109/TAC.2011.2154430

Data assimilation for transient flow in geologic formations via ensemble Kalman filter
journal, August 2006


Multimodal ensemble Kalman filtering using Gaussian mixture models
journal, August 2010


Dual state–parameter estimation of hydrological models using ensemble Kalman filter
journal, February 2005


An efficient two-stage Markov chain Monte Carlo method for dynamic data integration: EFFICIENT SAMPLING FOR DYNAMIC DATA INTEGRATION
journal, December 2005

  • Efendiev, Y.; Datta-Gupta, A.; Ginting, V.
  • Water Resources Research, Vol. 41, Issue 12
  • DOI: 10.1029/2004WR003764

Hydrologic Data Assimilation with the Ensemble Kalman Filter
journal, January 2002


The probability-distributed principle and runoff production at point and basin scales
journal, June 1985


DRAM: Efficient adaptive MCMC
journal, December 2006


Inverse problems: A Bayesian perspective
journal, May 2010


Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
journal, October 2008

  • Vrugt, Jasper A.; ter Braak, Cajo J. F.; Gupta, Hoshin V.
  • Stochastic Environmental Research and Risk Assessment, Vol. 23, Issue 7
  • DOI: 10.1007/s00477-008-0274-y

An Adaptive Metropolis Algorithm
journal, April 2001

  • Haario, Heikki; Saksman, Eero; Tamminen, Johanna
  • Bernoulli, Vol. 7, Issue 2
  • DOI: 10.2307/3318737

Sequential updating of multimodal hydrogeologic parameter fields using localization and clustering techniques: LOCAL CLUSTER ENSEMBLE KALMAN FILTER
journal, July 2009

  • Sun, Alexander Y.; Morris, Alan P.; Mohanty, Sitakanta
  • Water Resources Research, Vol. 45, Issue 7
  • DOI: 10.1029/2008WR007443

Assimilation of temperature into an isopycnal ocean general circulation model using a parallel ensemble Kalman filter
journal, April 2003


Gaussian Mixture Model-Based Ensemble Kalman Filtering for State and Parameter Estimation for a PMMA Process
journal, March 2016

  • Li, Ruoxia; Prasad, Vinay; Huang, Biao
  • Processes, Vol. 4, Issue 2
  • DOI: 10.3390/pr4020009

An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering
journal, July 2011

  • Zhou, Haiyan; Gómez-Hernández, J. Jaime; Hendricks Franssen, Harrie-Jan
  • Advances in Water Resources, Vol. 34, Issue 7
  • DOI: 10.1016/j.advwatres.2011.04.014

Sequential Data Assimilation Techniques in Oceanography
journal, August 2003