2019 Park Hotel, Voss

Monday (3 JUNE)

Luca Cantarello et al "Investigating satellite data assimilation in an idealised framework using an ensemble Kalman filter"
Alberto Carrassi "Model error estimation and treatment in data assimilation"
Francois Counillon "Building and testing of the first super earth system model"
Pieter Houtekamer "Estimation of model parameters using an evolutionary algorithm"
Patrick Laloyaux "Bias-aware assimilation methods for numerical weather prediction"
Santiago Lopez-Restrepo et al "LOTOS-EUROS EnKF for PM10 and PM2.5 forecast in Colombia"
Jesper Sandvig Mariegaard and Natacha Fery "Implementation of ensemble Kalman filter data assimilation in a high resolution spectral wave model with application in the southern North Sea"
Stephen G. Penny "Transitioning to strongly coupled data assimilation"
Tijana Janjic Pfander "Data assimilation on convective scale based on first physical principles"
Seoleun Shin "Experiments of RTPS methods for the 4D-LETKF system implemented to a global NWP model on the cubed-sphere"
Roland. M. B. Young "Assimilation of ExoMars Trace Gas Orbiter thermal infrared observations into the LMD Mars GCM using the LETKF"

Tuesday (4 JUNE)

Ricardo Baptista et al "High-dimensional Bayesian filtering with nonlinear local couplings"
Maxime Conjard and Henning Omre "Multimodality in the ensemble Kalman filter using a selection-Gaussian initial distribution"
Fred Daum "Particle flow for nonlinear filters with Gromov’s method"
Alban Farchi and Marc Bocquet "On the efficiency of covariance localisation of the ensemble Kalman filter using augmented ensembles"
Takemasa Miyoshi "Big data assimilation: A new science for weather prediction and beyond"
Patrick Nima Raanes "EnKF – FAQ"
Yiguo Wang et al "Empirical anisotropic multivariate localization in the ensemble Kalman filter for earth system models"

Wednesday (5 JUNE)

Sigurd I. Aanonsen et al "Using Bayesian model probability with ensemble methods to quantify uncertainty in reservoir modelling with multiple prior scenarios"
Julien Brajard et al "Combining data assimilation and machine learning to emulate a numerical model from noisy and sparse observations"
Yuqing Chang et al "Olympus optimization under geological uncertainty"
Alexandre Emerick "Recent ensemble smoother applications: Data-space inversion and deep learning for facies models"
Geir Evensen et al "Implementation of IES in ERT and validation on an FMU example"
Jincong He "Ensemble methods: Challenges faced in and lessons learned from practical applications"
Xiaodong Luo "Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators"
Trond Mannseth "Assimilation of multiple linearly dependent data vectors"