Climate Processes, Variability and Change
Develop coupled global ocean and atmosphere climate modelling. Studies of climate data and models to advance the understanding of climate processes and variability, focusing on high-latitudes and global teleconnections.
Description & Objectives
Research Description
Develop coupled global ocean and atmosphere climate modelling, including the Norwegian Earth System Model (NorESM), the global Bergen Climate Model (BCM) and, Weather Research and Forecasting (WRF), and global to regional ocean general circulation models (MICOM and HYCOM). Improving model predictability of reanalysis through improved parameterization of boundary layer processes and assimilation of climate data records in the models.
Research on the northern hemisphere high latitude climate is of high priority, with focus on Arctic Sea ice concentration, extent, volume and deformation, mass reduction of the Greenland ice sheet, changes in regional ocean circulation and sea level.
The research contributes to the Bjerknes Centre for Climate Research (BCCR) – a Norwegian research centre of excellence (SFF) and the Centre for Climate Dynamics (SKD) in Bergen.
Specific Research Objectives
- To advance planetary boundary layer research and modelling of air-sea-ice interactions, including their effect on fluxes of heat and CO2 and impact on the Arctic climate change.
- To advance the understanding of the natural and anthropogenic climate variability on inter-annual to decadal time scales for the Arctic and sub-Arctic region, including the Nordic Seas.
- To advance the insight into mechanisms causing teleconnections between the lower latitudes and the Arctic region.
- To study changes of the mass balance of the Greenland Ice Sheet and outlet glaciers in relation to atmospheric and ocean variability and implement an ice-sheet module into the Norwegian Earths System Model (NorESM).
- To improve the understanding of the global oceanic uptake and spreading of heat and CO2 by multiple tracers study.
- To evaluate the predictability of the climate system on interannual to decadal time scales, by applying data assimilation to the Norwegian Earth System Model.
Staff
| Navn | Area of Expertise |
|---|---|
| Antonio Bonaduce | oceanography |
| Florian Geyer | oceanography |
| Francois Counillon |
data assimilation oceanography sea ice |
| Heather Christine Regan |
oceanography sea ice |
| Helene R. Langehaug | oceanography |
| Kjetil Lygre | geo-sciences |
| Lingling Suo | meteorology |
| Noel Keenlyside | meteorology |
| Richard Davy | physics |
| Roshin P. Raj | oceanography |
| Sebastian H. Mernild | geo-sciences |
| Stein Sandven |
acoustics oceanography remote sensing sea ice |
| Stephen Outten | geophysics |
| Yanchun He | oceanography |
| Yongqi Gao | oceanography |
Projects
Arktalas
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The Arktalas project aims to remove knowledge gaps and advance the insight and quantitative understanding of sea ice, ocean and atmosphere interactive processes and their mutual feedback
BCPU
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Enhance climate prediction to the level where it benefits society
SFE
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The aim of SFE is to develop a state-of-the-art operational seasonal climate prediction system for Northern Europe and the Arctic.
RISES
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This is a strategic project of the Bjerknes Centre for Climate Research.
Blue-Action
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Climate Dynamics and Prediction
Blue-Action is a 5-year European project of Horizon 2020 Blue Growth coordinated by the Danish Meteorological Institute with 41 partners. Prof. Y. Gao is a key partner and is leading work package 3.
ARCPATH
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Climate Dynamics and Prediction
Focus on changes that will happen in the near future, with the overarching goal of fostering responsible and sustainable development.
