| Project |
Period |
Main funding agency; total budget (MNOK); Leader |
Relevance to BCPU and team members involved |
| BCPU Coordinating |
| CoRea |
2020-2023 |
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. |
| ROADMAP |
2020-2023 |
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. |
| TRIATLAS |
2019-2023 |
EU H2020; 110; UiB |
We contribute to TRIATLAS’ key aim to develop climate-based ecosystem predictions for the tropical and south Atlantic |
| BCPU participating |
| EUREC4A-OA |
2020-2023 |
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. |
| RACE |
2020-2023 |
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. |
| INES |
2018-2021 |
RCN; 70; NORCE (NO) |
NorESM is being further developed with the INES infrastructure project. NorCPM will be provided as part this modelling infrastructure. |
| Nansen Legacy |
2017-2023 |
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 |
2017-2021 |
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. |
| Pathway |
2017-2020 |
RCN; 7,7; UiB (NO) |
Investigates mechanisms connecting predictability in the North Atlantic, Nordic Seas, and Arctic |
| Blue-Action |
2016-2021 |
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 |
| ARCPATH |
2016-2020 |
NordForsk NCoE; 28; NERSC (NO) |
We contribute to ARCPATH’s prediction activities for the Arcitc region, contributing improved methods to initialize sea ice. |
| InterDec |
2016-2020 |
JPI Climate-Belmont Forum; 23; MPI-M (DE) |
Our focus here is on improving understanding of low-high latitude teleconnections |
| STERCP |
2015-2021 |
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 |
