||Main funding agency; total budget (MNOK); Leader
||Relevance to BCPU and team members involved
||RCN; 9,7; NERSC (NO)
||We lead this project, and will contribute advanced data assimilation methods and reanalysis dataset for improving climate prediction skill. Wang, Svendsen.
||JPIs Ocean and Climate; xxxx; MPI-Met (DE)
||We co-lead this project, and will contribute dynamical analysis and novel experiments to understand roles of ocean-atmosphere interaction and teleconnections in the climate of our region. Keenlyside, Omrani, Shen, Gao, Counillon, Langehaug.
||EU H2020; 110; UiB
||We contribute to TRIATLAS’ key aim to develop climate-based ecosystem predictions for the tropical and south Atlantic
||JPIs Ocean and Climate; xxxx; ENS-LMD (FR)
||We will contribute numerical experiments and analysis of ocean-atmosphere interactions associated with mesoscale oceanic eddies in the tropical Atlantic.
||Belmont Forum; 8,8; IGE (FR)
||In this highly interdisciplinary project, we will contribute to the provision of climate model information for assessing impacts of climate change on Arctic infrastructure and society.
||RCN; 70; NORCE (NO)
||NorESM is being further developed with the INES infrastructure project. NorCPM will be provided as part this modelling infrastructure.
||RCN; 360; UiT (NO)
||We contribute to the prediction of climate and biogeochemistry in Barents Sea. Within the project we are developing higher resolution version of NorCPM and biogeochemistry predictions
|SFE – Seasonal Forecasting Engine
||RCN; 16; NORCE (NO)
||NorCPM is contributing to the multi-model ensemble seasonal forecasts being used for the development of targeted climate services focusing on nine Norwegian stakeholder partners.
||RCN; 7,7; UiB (NO)
||Investigates mechanisms connecting predictability in the North Atlantic, Nordic Seas, and Arctic
||EU H2020; 75; DMI (DK)
||We contribute to the mechanisms and climate prediction activities for the Arctic-Atlantic focus of the project, including the development of advanced data assimilation approaches to initialize predictions
||NordForsk NCoE; 28; NERSC (NO)
||We contribute to ARCPATH’s prediction activities for the Arcitc region, contributing improved methods to initialize sea ice.
||JPI Climate-Belmont Forum; 23; MPI-M (DE)
||Our focus here is on improving understanding of low-high latitude teleconnections
||EU (ERC CoG); 20; UiB (NO)
||Development of the super-model approach to reduce systematic errors in climate model and thereby improve predictions and projections of climate