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Surrogate-assisted inversion for large-scale history matching
Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network
Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
Position correction in dust storm forecasting using LOTOS-EUROS v2.1
Position correction in dust storm forecasting using LOTOS-EUROS v2.1: Grid-distorted data assimilation v1.0
Source backtracking for dust storm emission inversion using an adjoint method
Source backtracking for dust storm emission inversion using an adjoint method: Case study of Northeast China
Dust Emission Inversion Using Himawari-8 AODs Over East Asia
Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017
Machine learning for observation bias correction with application to dust storm data assimilation
Machine learning for observation bias correction with application to dust storm data assimilation
Non-intrusive subdomain POD-TPWL for reservoir history matching
Non-intrusive subdomain POD-TPWL for reservoir history matching
Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter
Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: A case study with the LOTOS-EUROS model (version 1.10)
Evaluation criteria on the design for assimilating remote sensing data using variational approaches
Evaluation criteria on the design for assimilating remote sensing data using variational approaches
Data assimilation for volcanic ash plumes using a satellite observational operator
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajokull volcanic eruption
Estimation of volcanic ash emissions through assimilating satellite data and ground-based observations
Estimation of volcanic ash emissions through assimilating satellite data and ground-based observations
Model-based aviation advice on distal volcanic ash clouds by assimilating aircraft in situ measurements
Model-based aviation advice on distal volcanic ash clouds by assimilating aircraft in situ measurements
Estimation of volcanic ash emissions using trajectory-based 4D-Var data assimilation
Estimation of volcanic ash emissions using trajectory-based 4D-Var data assimilation
Assimilating aircraft-based measurements to improve forecast accuracy of volcanic ash transport
Assimilating aircraft-based measurements to improve forecast accuracy of volcanic ash transport
Assimilating Aircraft-based measurements to improve the State of Distal Volcanic Ash Cloud
Assimilating Aircraft-based measurements to improve the State of Distal Volcanic Ash Cloud
Estimation of volcanic ash emissions with satellite data: The inclusion of mass loading and plume height information in modified 4D-Var
Estimation of volcanic ash emissions with satellite data: The inclusion of mass loading and plume height information in modified 4D-Var
The parallel implementation of forward-reverse estimator
The parallel implementation of forward-reverse estimator
The parallel implementation of forward-reverse estimator
The parallel implementation of forward-reverse estimator
Probability density estimation in stochastic environmental models using reverse representations
Probability density estimation in stochastic environmental models using reverse representations
Probability density estimation in stochastic environmental models using reverse representations
Probability density estimation in stochastic environmental models using reverse representations
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