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.


Name Area of Expertise
Florian Geyer oceanography
Francois Counillon
data assimilation
sea ice
Helene R. Langehaug oceanography
Johan Henrik Liakka meteorology
Kjetil Lygre geo-sciences
Lingling Suo meteorology
Noel Keenlyside meteorology
Richard Davy physics
Roshin P. Raj oceanography
Sebastian H. Mernild geo-sciences
Stein Sandven
remote sensing
sea ice
Stephen Outten geophysics
Tobias Wolf meteorology
Yanchun He oceanography
Yongqi Gao oceanography




  • The aim of SFE is to develop a state-of-the-art operational seasonal climate prediction system for Northern Europe and the Arctic. 



  • 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.