Increasing model resolution can improve the performance of a data assimilation system
because it reduces model error, the system can more optimally use high-resolution …

This study presents results from numerical model experiments with a high-resolution
regional forecast system to evaluate model predictability of the Loop Current (LC) system …

Abstract Model predictions of the oceanic subtidal circulation have typically excluded the
tides, assuming that tides have little influence on subtidal flows. The deterministic surface …

We explore to what extent data-driven prediction models have skills in forecasting daily sea-
surface temperature (SST), which are comparable to or perform better than current physics …

Abstract The Kuroshio and Gulf Stream (GS), Northern Hemisphere warm ocean currents,
have narrow bands of intense jets and vigorous eddies. While the importance of them in …

Ocean mesoscale eddies are ubiquitous in world ocean and account for 90% oceanic
kinetic energy, which dominate the upper ocean flow field. Accurately predicting the …

An operational ocean Ensemble Prediction System (EPS) for the coastal seas off Northern
Norway is evaluated by comparing with high-frequency radar current speed estimates. The …

We have developed a global ocean and sea‐ice ensemble forecasting system based on the
operational forecasting ocean assimilation model (FOAM) system run at the Met Office. The …

Geophysical models are cornerstone pieces in marine forecasting of floating objects and
pollution, such as marine surface oil slicks. Trajectory forecasts of oil spills inherit the …

We assess a possibility to efficiently represent the strongly coupled increment in an ocean–
atmosphere coupled data assimilation (DA) system by applying an iterative procedure …