相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。SHEMAT-Suite: An open-source code for simulating flow, heat and species transport in porous media
Johannes Keller et al.
SOFTWAREX (2020)
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
Patrick N. Raanes et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2019)
An iterative ensemble Kalman filter in the presence of additive model error
Pavel Sakov et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2018)
Comparing Seven Variants of the Ensemble Kalman Filter: How Many Synthetic Experiments Are Needed?
Johannes Keller et al.
WATER RESOURCES RESEARCH (2018)
Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters
A. Chaudhuri et al.
ADVANCES IN WATER RESOURCES (2018)
Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation
D. Xiao et al.
COMPUTERS & FLUIDS (2018)
Ensemble Kalman Filter With Principal Component Analysis Assisted Sampling for Channelized Reservoir Characterization
Byeongcheol Kang et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2017)
Inverse methods in hydrogeology: Evolution and recent trends
Haiyan Zhou et al.
ADVANCES IN WATER RESOURCES (2014)
An iterative ensemble Kalman smoother
M. Bocquet et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2014)
Ensemble smoother with multiple data assimilation
Alexandre A. Emerick et al.
COMPUTERS & GEOSCIENCES (2013)
History matching of petroleum reservoir models by the Ensemble Kalman Filter and parameterization methods
Leila Heidari et al.
COMPUTERS & GEOSCIENCES (2013)
Comparison of ensemble filtering algorithms and null-space Monte Carlo for parameter estimation and uncertainty quantification using CO2 sequestration data
Reza Tavakoli et al.
WATER RESOURCES RESEARCH (2013)
Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation
E. Crestani et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2013)
Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions
Emmanuel Cosme et al.
MONTHLY WEATHER REVIEW (2012)
An Iterative EnKF for Strongly Nonlinear Systems
Pavel Sakov et al.
MONTHLY WEATHER REVIEW (2012)
Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother
Yan Chen et al.
MATHEMATICAL GEOSCIENCES (2012)
Groundwater flow inverse modeling in non-MultiGaussian media: performance assessment of the normal-score Ensemble Kalman Filter
L. Li et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2012)
An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering
Haiyan Zhou et al.
ADVANCES IN WATER RESOURCES (2011)
Assessment of local hydraulic properties from electrical resistivity tomography monitoring of a three-dimensional synthetic tracer test experiment
M. Camporese et al.
WATER RESOURCES RESEARCH (2011)
A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments
H. J. Hendricks Franssen et al.
ADVANCES IN WATER RESOURCES (2009)
Best unbiased ensemble linearization and the quasi-linear Kalman ensemble generator
W. Nowak
WATER RESOURCES RESEARCH (2009)
Real-time groundwater flow modeling with the Ensemble Kalman Filter: Joint estimation of states and parameters and the filter inbreeding problem
H. J. Hendricks Franssen et al.
WATER RESOURCES RESEARCH (2008)
Pilot points method incorporating prior information for solving the groundwater flow inverse problem
Andres Alcolea et al.
ADVANCES IN WATER RESOURCES (2006)
Data assimilation for transient flow in geologic formations via ensemble Kalman filter
Yan Chen et al.
ADVANCES IN WATER RESOURCES (2006)
Inverse problem in hydrogeology
J Carrera et al.
HYDROGEOLOGY JOURNAL (2005)
Dual state-parameter estimation of hydrological models using ensemble Kalman filter
H Moradkhani et al.
ADVANCES IN WATER RESOURCES (2005)