An Ensemble Kalman Filter for severe dust storm data assimilation over China

Here, we generate three different datasets (true state, noisy observations and analog database) using the ex- act Lorenz-63 differential equations with the classical parameters ρ =

(a) Image at given time k and estimated velocity field with SLK; (b) Image at given time k and estimated velocity field with WEnKF assimilation of SLK result; (c) Image at given time

Strongly coupled EnKF was implemented in [61] to recover the Atlantic merid- ional overturning circulation (AMOC) with simulated observations in a low-order coupled

Pour pouvoir se diriger vers une cible définie dans l’image il est nécessaire de valider l’existence d’une correspondance entre les mouvements de la sonde générés par le robot

Moreover, regarding the impact probabilities and the location of keyholes on the LOV, the Yarkovsky effect has to be taken into account during the orbit propagation to have more

EMSO is the European counterpart to similar large-scale systems in various stages of development around the world (see Favali et al., 2010): United States (Ocean Observatories

Many segments with a low normalized number of hydrophone-recorded events do, however, share two char- acteristics: they are ‘‘standard’’ segments (deeper extrem- ities

In order to analyze the performance of this REF_ASSIM assimilation experiment, we compare results from the CHIMERE reference run and the analysis (i.e., the mean of the