The last decade has seen the success of stochastic parameterizations in short-term, medium-
range, and seasonal forecasts: operational weather centers now routinely use stochastic …

In this paper, a generic implementation approach is presented, with the aim of transforming
a deterministic ocean model (like NEMO) into a probabilistic model. With this approach …

Sea ice cover and thickness have substantially decreased in the Arctic Ocean since the
beginning of the satellite era. As a result, sea ice strength has been reduced, allowing more …

We present a comprehensive inter‐comparison of linear regression (LR), stochastic, and
deep‐learning approaches for reduced‐order statistical emulation of ocean circulation. The …

The choice of parameter values is crucial in the course of sea ice model development, since
parameters largely affect the modeled mean sea ice state. Manual tuning of parameters will …

We investigate the predictability properties of the ocean dynamics using an ensemble of
short-term numerical regional ocean simulations forced by prescribed atmospheric …

Stochastic Subgrid-Scale Ocean Mixing: Impacts on Low-Frequency Variability in: Journal of
Climate Volume 30 Issue 13 (2017) Jump to Content Jump to Main Navigation Logo Logo Logo …

We introduce and study the impact of three stochastic schemes in the EC-Earth climate
model: two atmospheric schemes and one stochastic land scheme. These form the basis for …

Accurate forecasts of the ocean state and the estimation of forecast uncertainties are crucial
when it comes to providing skilful seasonal predictions. In this study we analyse the …

The extent to which interannual variability in Arctic sea ice influences the mid-latitude
circulation has been extensively debated. While observational data support the existence of …