ANALYSIS OF SST IMAGES BY WEIGHTED ENSEMBLE TRANSFORM KALMAN FILTER

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 =

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

This paper proposes a novel multi-scale fluid flow data as- similation approach, which integrates and complements the advantages of a Bayesian sequential assimilation technique,

La sécurité des structures en béton armé vis-à-vis des phénomènes d’instabilité, ne peut être valablement appréhendée que par des calculs tenant compte d’une part des

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

3.3.1, we isolated the results for the TBE forests area (Fig. In this case, prior fluxes and both MACCv10.1 and INVSAm estimates show diverging an- nual mean responses of forests

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