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
SPECIAL
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We will use machine learning to quantifies the risk of occurrence of a harmfull algae bloom on seasonal time scale
Climate Futures
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Climate Dynamics and Prediction
Our goal is to generate long-term cooperation between companies, public organizations and research groups across sectors to tackle climate risk
CoRea
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The CoRea is a "Young Research Talents" Project funded by the Research Council of Norway.
FyB
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Polar Acoustics and Oceanography
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.
Arktalas
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The Arktalas project aims to remove knowledge gaps and advance the insight and quantitative understanding of sea ice, ocean and atmosphere interactive processes and their mutual feedback
TRIATLAS
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Climate Dynamics and Prediction, Ocean Modeling
Achieve skillfull south and Tropical Atlantic marine ecosystems prediction
Visit the official TRIATLAS webpage https://triatlas.w.uib.no
AOIP
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Sea Ice Modelling
This project is about improving our understanding of some atmosphere-ocean-ice interaction processes, as well as our ability to model them and their impact
BCPU
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Enhance climate prediction to the level where it benefits society
CAATEX
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Climate Dynamics and Prediction, Polar Acoustics and Oceanography, Scientific Data Management
Two sound sourcs in fixed moorings will transmit a signal which will be received on listen cables in 5 fixed moorings and four drifting drifting receivers hundreds of kilometers away from the sound sources.
SFE
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The aim of SFE is to develop a state-of-the-art operational seasonal climate prediction system for Northern Europe and the Arctic.
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Completed Projects
INES
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Devellopement of the Norwegian Earth System model in preparation for CMIP7.
Marine Data i Arktis
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Dette prosjektet skal lage en dynamisk oversikt over relevante observasjons-systemer, datasamlinger og dataforvaltningssystemerfor Arktiske hav-områder og dermed øke nytteverdien av innsamlede data.
TRAKT-2018
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The majority of Nordic population is residing in complex urban environment. The concentrated emission of air pollutants, anthropogenic landscape and local climate modifications are lasting and have distant, often transboundary impact. -
UAK
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Useful Arctic Knowledge - Partnership for Research and Education funded by the INTPART program.
TOPVOYS
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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.
GCloudl
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Global warming is rapidly transforming Arctic clouds. This collaboration documents the changes.
FRASIL
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On simulating leads in the Arctic sea ice using the new Lagrangian model neXtSIM, and on studying their impact on the ocean mixing, heat budget and primary production.
NFR-INTAROS
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Hovedmål er å støtte opp om EU-prosjektet INTAROS for å utvikle et integrert multidisiplinært arktisk observasjonssystem ved å utvide, forbedre og sammenkoble eksisterende systemer i ulike deler av Arktis.
ARCONOR
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Research and higher education related to sea ice, environment, climate change, and operational conditions in the Arctic Ocean focusing on the Northern Sea Route.
Blue-Action
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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.
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