Bjerknes CPU involvement in related research projects

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