Ocean Modelling, Data Assimilation and Forecasting
Develop operational oceanography aiming at meeting research and societal needs related to monitoring and management of the marine environment, marine resources, marine safety, as well as weather and seasonal climate forecasts.
Description & Objectives
Research Description
The research comprises development and validation of modelling of ocean circulation, sea ice dynamics and the marine ecosystem. Advanced data assimilation methods, based on the Ensemble Kalman Filter (EnKF) and originally introduced at Nansen Center, are applied to realistic forecasts of ocean and sea-ice state variables. The main research activities relates to the development, validation and interpretation of the ToPAZ ocean forecasting system (http://topaz.nersc.no) covering the North Atlantic and Arctic oceans.
The ToPAZ ocean modelling system are transferable to other oceans and has also been implemented for Barents, Norwegian and Greenland Seas, the Indian Ocean, the Agulhas Current and the Southern Ocean, South China Sea and Gulf of Mexico.
The Nansen Center is co-organizing the yearly international EnKF workshop together with Uni Centre for Integrated Petroleum Research (CIPR) and International Research Institute of Stavanger (IRIS).
Specific Research Objectives
- To advance and validate the TOPAZ data assimilation and marine forecasting system for the North Atlantic, the Nordic Seas and the Arctic Oceans.
- To study past seasonal to interannual ocean variability by reanalyses of the TOPAZ assimilative system.
- To diversify the TOPAZ system for studies of coupled ocean, sea-ice and ecosystem processes, with joint assimilation of new types of satellite, ocean acoustics and in situ data.
- To implement and validate nested versions of the TOPAZ system in various oceans such as the Barents, Norwegian and Greenland Seas, the Indian Ocean, the Agulhas Current and the Southern Ocean, South China Sea and Gulf of Mexico, with special emphasis on meso-scale processes.
- To develop new data assimilation methods related to the Ensemble Kalman Filter, and apply the methods in new fields of applications.
Staff
| Name | Area of Expertise |
|---|---|
| Achref Othmani | oceanography |
| Annette Samuelsen | oceanography |
| Antoine Bernigaud | data assimilation |
| Antonio Bonaduce | oceanography |
| Bjørn Backeberg | oceanography |
| Çağlar Yumruktepe | oceanography |
| François Counillon |
data assimilation oceanography sea ice |
| Geir Evensen |
geo-sciences mathematics |
| Guillaume Boutin |
oceanography sea ice |
| Jiping Xie | oceanography |
| Johnny A. Johannessen |
oceanography remote sensing |
| Julien Brajard |
computer science data assimilation geo-sciences mathematics oceanography remote sensing statistics |
| Laurent Bertino |
data assimilation Geostatistics oceanography sea ice |
| Nicholas Williams | data assimilation |
| Sukun Cheng | data assimilation |
| Tsuyoshi Wakamatsu | oceanography |
| Yanchun He | oceanography |
| Yiguo Wang | data assimilation |
Projects
4SICE
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Climate Dynamics and Prediction
4SICE is a four-year project co-funded by the Research Council of Norway and the Ministry of Science and Technology of China.
TARDIS
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A project bigger on the inside.
SEAMLESS
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The overall objective of SEAMLESS is to provide CMEMS with new capabilities to deliver indicators of climate-change impacts and food security in marine ecosystems.
CoRea
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Climate Dynamics and Prediction
The CoRea is a "Young Research Talents" Project funded by the Research Council of Norway.
NICEST-2
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Climate Dynamics and Prediction
NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives.
