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 |
|---|---|
| Achref Othmani | oceanography |
| Anqi Lyu | |
| Antonio Bonaduce | oceanography |
| Florian Geyer | oceanography |
| François 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 |
| Stein Sandven |
acoustics oceanography remote sensing sea ice |
| Stephen Outten | geophysics |
| Yanchun He | oceanography |
Projects
URSA-MAJOR
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Climate Dynamics and Prediction
URSA-MAJOR will redress of education and training for Smart-City development.
DEWPAD
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Analyse EURO-CORDEX to create a dataset of extreme winds and extreme precipitation.
PARCIM
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Climate Dynamics and Prediction
SKD-PARCIM is a strategic project at the Bjerknes Center for Climate Research (2022-2025) that combines novel model devellopements, improved paleoproxy observations, and understanding of multidecadal climate variability. Paleo-proxy observations will be used to produced an online climate reanalysis of the past milenium. They will also be used to mitigate long lasting model bias in climate models.
BASIC
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Climate Dynamics and Prediction
To understand the consequences of more open Arctic sea water in summer and increasing ice-growth in winter for the Arctic and Eurasian climate
CoRea
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Climate Dynamics and Prediction
The CoRea is a "Young Research Talents" Project funded by the Research Council of Norway.
EUREC4A-OA
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Climate Dynamics and Prediction
Improving the representation of small-scale nonlinear ocean-atmosphere interactions in Climate Models by innovative joint observing and modelling approaches.
ARIA
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Climate Dynamics and Prediction, Sea Ice Modelling
Arctic cyclones can break up and reshape the Arctic sea-ice cover and can be expected to do so more readily as the ice grows thinner due to anthropogenic climate change. Processes driven by Arctic cyclones can enhance the rate of melting of the ice and increase its export out of the Arctic. We hypothesise that surface coupling (interactions between the ocean, sea ice and atmosphere) play a crucial role in determining the life cycle of Arctic cyclones, and the effect they have on the sea ice.
SERUS
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Climate Dynamics and Prediction
More than 80% of the Arctic population is living in 110 cities. Open space converts a settlement to a location with sense-of-place and values. Green (vegetated) and blue (water) spaces, being the areas of public attraction, recreation and eco-services, make cities livable. We consider green, blue and white space along with built-up areas as components of an interconnected socio-environmental (urban) ecosystem.
KeyCLIM
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Climate Dynamics and Prediction
The KeyCLIM project set out to better understand, calculate and reduce the uncertainty related to climate change in Northern Latitudes, especially in the Arctic. The project group has assembled new model scenarios and data documenting large and partly irreversible climate changes in the north for the next 50-300 years.
BCPU
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Climate Dynamics and Prediction
Enhance climate prediction to the level where it benefits society
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