output
20062024
most citedCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

206 citations

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Showing 2018Show all

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physics.ao-ph2018

Arctic amplification metrics

Richard Davy, Linling Chen, Edward Hanna

One of the defining features of both recent and historical cases of global climate change is Arctic Amplification (AA). This is the more rapid change in the surface air temperature…

math.OC2018★ 2 cited

Assimilation of semi-qualitative observations with a stochastic Ensemble Kalman Filter

Abhishek Shah, Mohamad El Gharamti, Laurent Bertino

The Ensemble Kalman filter assumes the observations to be Gaussian random variables with a pre-specified mean and variance. In practice, observations may also have detection limits…

physics.data-an2018★ 69 cited

Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

Patrick N. Raanes, Marc Bocquet, Alberto Carrassi

This paper studies multiplicative inflation: the complementary scaling of the state covariance in the ensemble Kalman filter (EnKF). Firstly, error sources in the EnKF are catalogu…