1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.data-an2020★ 1 cited
Data assimilation for chaotic dynamics
Alberto Carrassi, Marc Bocquet, Jonathan Demaeyer +3
Chaos is ubiquitous in physical systems. The associated sensitivity to initial conditions is a significant obstacle in forecasting the weather and other geophysical fluid flows. Da…
physics.data-an2019
Revising the stochastic iterative ensemble smoother
Patrick N. Raanes, Geir Evensen, Andreas S. Stordal
Ensemble randomized maximum likelihood (EnRML) is an iterative (stochastic) ensemble smoother, used for large and nonlinear inverse problems, such as history matching and data assi…