Data Assimilation

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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

Alberto Carrassi

Alberto Carrassi
Area of Expertise: 
geophysics
mathematics

My research interests focus on the development of efficient methods to assimilate and combine data with numerical models of environmental systems. I work at the bridge between applied mathematics and geosciences and my main expertise is in dynamical systems and stochastic filtering applications to geophysics. I am interested in fundamental issues in the theory of data assimilation and in efficient methods to quantify uncertainty in high-dimensional problems such those encountered in climate science.

Job Position: 
Project Manager
Research Group: 
Data Assimilation
E-mail: 
Phone: 
+47 467 47 817

Yiguo Wang

Yiguo-Wang.png
Area of Expertise: 
data assimilation

Data assimilation, seasonal-to-decadal climate predictions, air quality forecast.

My main interest is to apply advanced data assimialtion methods into prediction systems (e.g. Norwegian Earth System Model) to enhance prediction skill of the systems.

Job Position: 
Researcher
Department: 
Mohn-Sverdrup Center for Global Ocean Studies and Operational Oceanography
Research Group: 
Climate Dynamics and Prediction
Data Assimilation
E-mail: 
Phone: 
+47 466 36 012

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

CarboChange: Changes in carbon uptake and emissions by oceans in a changing climate

CARBOCHANGE will provide the best possible process-based quantification of net ocean carbon uptake under changing climate conditions using past and present ocean carbon cycle changes for a better prediction of future ocean carbon uptake.

Results will be optimal process descriptions and most realistic error margins for future ocean carbon uptake quantifications with models under the presently available observational evidence. The project will deliver calibrated future evolutions of ocean pH and carbonate saturation as required by the research community on ocean acidification in the EU project EPOCA and further projects in this field. The time history of atmosphere-ocean carbon fluxes past, present, and future will be synthesised globally as well as regionally for the transcontinental RECCAP project.

Project Details
Funding Agency: 
European Commission
Coordinating Institute: 
University of Bergen
Project Status: 
Completed

eVITA-EnKF: Forecasting non-linear systems using the ensemble Kalman filter and related methods

eVITA-EnKF is a methodological project from the Research Council of Norway, aimed at multidisciplinary applications of advanced data assimilation methods, the EnKF and related methods.

The ensemble Kalman filter (EnKF) and related data assimilation methods methods are being applied to the following modelling systems:

Project Details
Funding Agency: 
Research Council of Norway
Project Deputy Leader at NERSC: 
Laurent Bertino
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed
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