Data Assimilation

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Colin Guider

Name
Last Name: 
Guider
First Name: 
Colin
Middle Name: 
Thomas
Middle Name: 
Thomas
Work Period
Visit Start Date: 
14. November 2016
Visit End Date: 
16. December 2016
Research Groups: 
Data Assimilation
Sea Ice Modelling
Home Address
Street Address 1: 
112 NC 54
Street Address 2: 
Apt. X7
Postal Code: 
27510
City: 
Carrboro
State/Region: 
North Carolina
Date of Birth: 
26. August 1991
Publish: 
Public

Jesper Sandvig Mariegaard

Name
Last Name: 
Mariegaard
First Name: 
Jesper
Middle Name: 
Sandvig
Middle Name: 
Sandvig
Work Period
Visit Start Date: 
7. November 2016
Visit End Date: 
11. November 2016
Research Groups: 
Data Assimilation
Home Address
Street Address 1: 
Agern Alle 5
Postal Code: 
DK-2970
City: 
Horsholm
Contact Information
Phone: 
+4561707170
Mobile: 
+47 4561707170
Date of Birth: 
3. September 1979
Publish: 
Public

EmblAUS: Ensemble-based data Assimilation for environmental monitoring and prediction in the Unstable Subspace

Bayesian Data Assimilation  

EmblAUS is a part of the Nordic Center of Excellence EmblA. It is structured along two tasks:

Task 1 – Mathematical Formalism (12 months)

Task 2 – Numerical Analysis (12 months)

EmblAUS employs one postdoctoral scientist: Patrick N. Raanes 

Project Details
Funding Agency: 
NordForsk
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

Maxime Tondeur

Name
Last Name: 
Tondeur
First Name: 
Maxime
Work Period
Visit Start Date: 
3. April 2017
Visit End Date: 
12. May 2017
Research Groups: 
Data Assimilation
Home Address
Street Address 1: 
305 route du Michard
Postal Code: 
38440
City: 
Moidieu Détourbe
Contact Information
Phone: 
+33763274921
Address in Norway
Street Address 1: 
Gyldenprisveien 11
Postal Code: 
5056
City: 
BERGEN
Date of Birth: 
8. April 1994
Publish: 
Public

DASIM: Data Assimilation for a new generation of Sea Ice Models

DASIM II follows the 1-year pilot project DASIM I and will explore the mathematical issues for assimilating data in modern sea-ice models

DASIM comes as the natural fusion between the recent achievements in Lagrangian Data Assimilation (LaDA) and sea-ice modelling. Most existing models treat the sea-ice as a visco-plastic and are unable to describe important features such as cracks, leads, and ridges. Only recently has sea-ice motion been described with Lagrangian dynamics.

Project Details
Funding Agency: 
Office of Naval Research
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

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
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