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

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

SPECIAL

  • Climate Dynamics and Prediction

    We will use machine learning to quantifies the risk of occurrence of a harmfull algae bloom on seasonal time scale

Completed Projects

SFE

TRAKT-2018

UAK

RISES

TOPVOYS

  • The project aims to implement analyses tools and decision support system for voyage optimization and to find the “best route” for a ship based on the marine weather forecasts, ship characteristics and cargo requirements.

EMULATE

CHEX

  • To provide policy-relevant information through improved projections of climate hazards and extremes, by integrating long-term time series from proxy records with numerical model output and Earth observation data.

ALERTNESS

GCloudl

FRASIL