Projects

The Nansen Center is a project oriented international research centre focusing on the basic research within marine environment and ocean forecasting, satellite remote sensing and climate studies and modelling. Our research is funded by projects granted through competitive calls by research councils, space agencies, EU, national and international government agencies, industry and private donations.

Some of our on-going research projects are listed below. The list is being populated with the most recent and on-going projects and later updated with other major completed research projects.

Ongoing Projects

URSA-MAJOR

COMBINED

DEWPAD

PARCIM

  • 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.

4SICE

MAPARC

  • Climate Dynamics and Prediction

    Mechanism and prediction of the new Arctic climate system

BASIC

PECO2

  • Ocean and Sea Ice Remote Sensing

    The PECO2 project is funded by the Research Council of Norway INPART program for 3-years from 2021 through 2023 and shall strengthen international partnerships in operational oceanography and marine services. 

SEAMLESS

Completed Projects

NCKS

PredictingNorwegianExtremeSeaLevel

FyB

  • Float Your Boat vil sette ut 400 trebåter på sjøisen i Arktis for å følge deres bevegelser med vind og havstrømmer fra Polhavet og ut i det Nordiskehavet som en del av skoleundervisning i naturfag.

Arctic Synthesis

VOLCANOES4CMIP

AMTEC

Arktalas

MUDYFEET

AOIP

Marine Data i Arktis

  • Dette prosjektet skal lage en dynamisk oversikt over relevante observasjons-systemer, datasamlinger og dataforvaltningssystemerfor Arktiske hav-områder og dermed øke nytteverdien av innsamlede data.