Climate Dynamics and Prediction

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Leilane Gonçalves Passos

Name
Last Name: 
Passos
First Name: 
Leilane
Middle Name: 
Gonçalves
Middle Name: 
Gonçalves
Research Group
Research Groups: 
Climate Dynamics and Prediction
Contact Information
Mobile: 
+47 41320669

Avneet Singh

Name
Last Name: 
Singh
First Name: 
Avneet
Research Group
Research Groups: 
Climate Dynamics and Prediction
Data Assimilation
Contact Information

TRIATLAS: South and Tropical Atlantic - climate-based marine ecosystem prediction for sustainable management (TRIATLAS)

Achieve skillfull south and Tropical Atlantic marine ecosystems prediction

Visit the official TRIATLAS webpage  https://triatlas.w.uib.no

Main Objective: To assess the status of the South and Tropical Atlantic marine ecosystem and develop a framework for predicting its future changes, from months to decades, by combining ecosystem observations, climate-based ecosystem prediction and information on future socio-economic and ecosystem service changes, and thus to contribute to the sustainable management of human activities in the Atlantic Ocean as a whole.

TRIATLAS has the following specific objectives (SO):

Project Details
Funding Agency: 
European Commission
Project Deputy Leader at NERSC: 
Annette Samuelsen
Coordinating Institute: 
GFI, UIB
Project Status: 
Ongoing

Alexander Chernokulsky

Name
Last Name: 
Chernokulsky
First Name: 
Alexander
Research Group
Research Groups: 
Climate Dynamics and Prediction
Climate Processes

Erik Kusch

Name
Last Name: 
Kusch
First Name: 
Erik
Research Group
Research Groups: 
Climate Dynamics and Prediction
Contact Information

BCPU: Bjerknes Climate Prediction Unit

Enhance climate prediction to the level where it benefits society

Will European winters be increasingly mild and wet in the coming years? Will there be more extreme precipitation? Will climatic conditions be beneficial for Norwegian fisheries and hydroelectric power production? Such questions of large societal importance are at the heart of the emerging scientific field ofclimate prediction. Yet we may know more about global warming in a 100-year perspective than how climate in Norway will be in a decade.

Project Details
Project Deputy Leader at NERSC: 
Helene R. Langehaug
Coordinating Institute: 
GFI, UIB
Project Status: 
Ongoing

SFE: Seasonal Forecasting Engine

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

The aim of SFE is to develop a state-of-the-art operational seasonal climate prediction system for Northern Europe and the Arctic. Tailored seasonal predictions can be helpful tools for risk mitigation, and they can guide more efficient use of resources in many sectors of society, including agriculture, energy, water, transportation, and insurance. To our users, the SFE will be accessible through a flexible interface which can be queried to obtain predictions of relevant climate indices and variables.
Project Details
Funding Agency: 
Centre for Climate Dynamics - Research Council of Norway
Coordinating Institute: 
NORCE
Project Status: 
Completed

INES: Infrastructure for Norwegian Earth System modelling (INES)

Developement of the Norwegian Earth System model in preparation for CMIP7. 

Background for proposal

A unifying activity in the national climate modeling community is the Norwegian Earth System Model (NorESM). The development of NorESM begun in 2007, bringing together modelling expertise from in particular Bergen and Oslo. A significant funding of this activity has been Research Counsil of Norway (RCN) projects starting with NorClim (20072010),

Project Details
Funding Agency: 
Centre for Climate Dynamics - Research Council of Norway
Coordinating Institute: 
NORCE
Project Status: 
Completed

Sebastian Brune

Name
Last Name: 
Brune
First Name: 
Sebastian
Research Group
Research Groups: 
Climate Dynamics and Prediction

Nanka Gogia

Name
Last Name: 
Gogia
First Name: 
Nanka
Middle Name: 
Nano
Middle Name: 
Nano
Research Group
Research Groups: 
Climate Dynamics and Prediction
Contact Information
Mobile: 
+995 555766539
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