Data assimilation

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Publication: Data assimilation in the geosciences - An overview of methods, issues, and perspectives

You have data, you have a simulation model, then you should probably look into data assimilation. 

A new method for constraining the ocean in coupled system model for long reanalysis and climate predictions

Nansen and Bjerknes scientists have for the first time demonstrated the capability - thanks to an advanced data assimilation method - to constrain ocean variability in key regions (e.g. North Atlantic, Equatorial and North Pacific) of a fully coupled Earth system model just using sea surface temperatures. This result opens new possibilities for a long fully coupled reanalysis dating back to 1850 and test thoroughly the skills of decadal predictions by the Norwegian Climate Prediction model. The research team lead by Dr.

Summer School: “Crash Course on Data Assimilation - Theoretical foundations and advanced applications with focus on ensemble methods”

The Nordic Centre of Excellence Ensemble-based data assimilation for environmental monitoring and prediction - EmblA coordinated by the Nansen Center organises a 4-days summer school for PhD-level students and early stage scientists with beginner or no notions of data assimilation.

ARC MFC: Copernicus Arctic Marine Services

The Arctic Marine Forecasting Center will provide operational forecasts of ocean currents, temperature, salinity, primary production, sea ice and waves out to 10 days ahead as well as reanalyses over the past 25 years.

The Arctic MFC will operate the NERSC version of the HYbrid Coordinate Ocean Model (HYCOM) for the whole Arctic domain at a resolution higher than 14 km (corresponding to 1/8th deg N/S), coupled with a sea ice model (NERSC version of the CICE model) and an ecosystem model. The EnKF will be used for assimilating all types of satellite and in situ observations available both in real time forecast and reanalysis modes. Essentially, the proposal offers the continuation of the products served by the MyOcean Follow-On “ARC MFC”.

Project Details
Funding Agency: 
Mercator Océan - Copernicus Marine Services
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

EmblA: Ensemble-based data assimilation for environmental monitoring and prediction

EmblA is the Nordic Centre of Excellence for ensemble-based data assimilation (DA). It supports Nordic users of DA methods with instruction and training, state-of-the-art open-source codes, and works for R&D in several applications.

Our environment is undergoing major anthropogenic and natural changes that we need to understand, attribute and predict. To be able to use complex 3-dimensional models of our environment to generate reliable predic- tions with documented accuracy is therefore a major challenge for e-Sciences.

Project Details
Funding Agency: 
NordForsk
Project Deputy Leader at NERSC: 
Laurent Bertino
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Ongoing

OC-CCI: The ESA Ocean Colour Climate Change Initiative

The ESA has initiated ClimateChange Initiatives for all Essential Climate Variables. the Ocean Colour CCI is the only one of them that related to a "living" variable.

The Ocean Colour CCI (OC_CCI) project focuses on the Ocean Colour ECV encompassing water-leaving radiance in the visible domain, derived chlorophyll and inherent optical properties and will utilise data archives of from ESA’s MERIS and NASA’s SeaWiFS, MODIS and possibly CZCS (after careful evaluation) sensors archives.

Project Details
Funding Agency: 
European Space Agency
Project Deputy Leader at NERSC: 
Laurent Bertino
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed
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