Data Assimilation

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REDDA: Reduced subspace in big data treatment: A new paradigm for efficient geophysical Data Assimilation

Big Data methods in geosciences

Environmental science has been a primary challenge test-ground for Data Assimilation. The huge dimension of the numerical models of the climate system, the vast amount of Earth observational data at our disposal, and the pressure to deliver timely accurate forecasts, have motivated an extraordinary research activity that has led to enormous advances which have subsequently spread out to other domains of science.

Project Details
Funding Agency: 
Research Council of Norway
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Ongoing

DADA: Detection and Attribution of climate change based on Data Assimilation

DADA is a theoretical project aimed at developing new strategies and methods for the detection and attribution of climate change based on data assimilation.

How can observations be used to best evidence the influence on climate of human activities, among other forcings ? Statistical methods of Detection and Attribution (D&A) were designed to answer this question which is of high societal relevance when it comes to adaptation and mitigation policy.

Project Details
Funding Agency: 
Agence Nationale Francaise de la Recherche
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

ES-PhD: Ensemble Smoother - Patrick Raanes

Research on the ‘Ensemble Smoother’ (ES) method for parameter estimation (history matching) and model conditioning.

Project tasks include:

  • Evaluation of ES for parameter estimation in a number of known test problems of varying complexity to evaluate ES performance with respect to other traditional methods
  • Evaluation, implementation and testing of recently proposed iterative smoother algorithms
  • Development, implementation and testing of new iterative smoother algorithms
  • Application and demonstration of smoother algorithms in agree field examples.
Project Details
Funding Agency: 
Statoil E&P
Project Deputy Leader at NERSC: 
Alberto Carrassi
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

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
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

EVA: Earth system modelling of climate Variations in the Anthropocene

Developement of the Norwegian Earth System Model (NorESM)

The term Anthropocene denotes the on-going time period since the beginning of the industrialisation. Human actions have changed the Earth’s climate and environment during this period. 

How can the changes up to now be quantified and how to prepare for the future? 

Earth system models (ESMs) are key tools to answer this question. They are climate models which next to physics also take into account chemical, biological, and ecosystem processes. 

Project Details
Funding Agency: 
Centre for Climate Dynamics - Research Council of Norway
Project Deputy Leader at NERSC: 
Yongqi Gao
Coordinating Institute: 
Geophysical Institute, University of Bergen
Project Status: 
Completed

SANGOMA: Stochastic Assimilation for the Next Generation Ocean Model Applications

A European project providing new developments in data assimilation for future operational forecasting and monitoring systems

SANGOMA provides the necessary link from operational applications for ocean monitoring and forecasting to new developments in data assimilation to ensure that future operational systems make use of state-of-the-art data-assimilation and related analysis tools. With this, SANGOMA relates to MyOcean that is the first EU project dedicated to the implementation of the GMES Marine Core Service for ocean monitoring and forecasting. Its currently second phase expands the pre-operational service and plans to move to full operations in 2014.

Project Details
Funding Agency: 
European Commission
Project Deputy Leader at NERSC: 
Alberto Carrassi
Coordinating Institute: 
University of Liège
Project Status: 
Completed

Data Assimilation

Scientific Group Name: 
Data Assimilation
The very best way to make a forecast out of a numerical model and a set of observations.
  • International leadership in data assimilation, from theory to state-of-the-art applications within ocean and climate.  Presently at the forefront of applications of the Ensemble Kalman Filter (EnKF)

Publish: 
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