ADSIMNOR - Advanced Simulation of Arctic Climate Change and Impact on Northern Regions

ADSIMNOR is a research project funded by the Swedish Research Council Formas. ADSIMNOR aims to improve the understanding of climate change in the Arctic and its impacts in northern Sweden.It is a joint project with researchers from Stockholm University, Lund University, Abisko Scientific Research Station and SMHI. Rossby Centre at SMHI is coordinating the project.

ADSIMNOR - Background

Foto Ragnvald Nærø

The Arctic is an important component in the Global Climate System with influences that range from conditioning deep water formation to determining the large scale baroclinic structure of the atmosphere and thus cyclone activity. The Arctic climate system is influenced by external atmospheric and oceanic processes. Read more...


Foto Anna Lilja

The goal is to increase the understanding of key Arctic processes and improve the ability to simulate such processes and their interaction with the rest of the global and northern climate system. The project will also provide improved scenarios of future climate conditions over high northern latitude ocean and land areas. Read more...

Processes, effects and necessary research

Foto Anna Lilja

There are five themes within the project:
Theme 1: Global-to-Arctic
Theme 2: Arctic processes
Theme 3: Arctic-ocean-to-land
Theme 4: Arctic scenarios
Theme 5: Impact, adaptation and outreach

Links with related projects

Foto Anna Lilja

The global simulations carried out in this project build on the work of the international EC-Earth consortium. Model development in the Arctic benefits from previous work in International Polar Year (IPY) project and other upcoming projects. 

Models and equipment

A set of advanced new generation modelling tools will be available and further developed to address the questions of linking mechanisms between global climate change and northern response via Arctic processes. 

Societal value of Arctic climate modelling

Foto Anna Lilja

This project will combine improved probability information on a future Arctic with stakeholder perspectives. Economical, governance, geo-political and societal efforts in the Arctic can only be assessed if the physical climate system is well understood. 


ACIA, 2005. Arctic Climate Impact Assessment. Cambridge University Press, New York.

Döscher, R., K. Wyser, H.E.M. Meier, M. Qian, R. Redler, 2009: Quantifying Arctic Contributions to Climate Predictability in a regional coupled Ocean-Ice-Atmosphere Model. Climate Dynamcis, DOI: 10.1007/s00382-009-0567-y, accepted for publication.

Graversen, R.G., T. Mauritsen, MT, E. Källen and G. Svensson, 2008: Vertical structure of recent Arctic warming, Nature, 541, doi:10.1038.

Koenigk, T., U. Mikolajewicz, J.H. Jungclaus, A. Kroll, 2008: Sea ice in the Barents Sea: seasonal to interannual variability and climate feedbacks in a global coupled model. Climate Dynamics, doi:10.1007/s00382-008-0450-2

Smith, B., Prentice, I.C. & Sykes, M.T. 2001. Representation of vegetation dynamics in modelling of terrestrial ecosystems:
comparing two contrasting approaches within European climate space. Global Ecology and Biogeography 10: 621-637.

Vancoppenolle, M, Fichefet T, Goosse H, Bouillon S, Beatty CK, Morales Maqueda MA, 2008: LIM3, an advanced sea-ice model for climate simulation and operational oceanography. Mercator Newsletter 28.

Wramneby, A., Smith, B. & Samuelsson, P. 2007. Combining regional climate modelling and dynamic ecosystem modeling
to investigate climate changes and their impacts over Northern Europe. AGU Fall Meeting 2007. Eos Transanctions AGU
88, Fall Meeting Supplement, Abstracts.