Data Assimilation

  • warning: Creating default object from empty value in /var/www/html/drupal/sites/all/modules/i18n/i18ntaxonomy/i18ntaxonomy.pages.inc on line 34.
  • warning: Creating default object from empty value in /var/www/html/drupal/sites/www.nersc.no/modules/biblio/biblio.module on line 1922.

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.

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

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

SeaFINE: Eddy-resolving South China Sea reanalysis

SEAFINE (SEAMOS-South Fine Grid Hindcast) is an Oceanweather JIP (Joint Industry Project) for development of wind, wave and 3D currents hindcast on a fine grid of the southern part of the South China Seas.

Terra Orbit AS provides 3D currents hindcast based on a data assimilative configuration of the HYCOM model. The model includes the following goodies:

- Nested configuration from a Indo-Pacific 1/3rd deg model to a 5-km high resolution model in the South China Sea.

- High-integrity SeaFINE wind forcing from Ocean Weather Inc. (QuickSCAT based)

- Tidal forcing at the boundaries of the nested HR model.

Project Details
Project Deputy Leader at NERSC: 
Francois Counillon
Coordinating Institute: 
Ocean Weather Inc.
Project Status: 
Completed
Syndicate content