Data Assimilation

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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: 
Public

Abhishek S. Shah

Area of Expertise: 
mathematics
Job Position: 
PhD student
Department: 
Mohn-Sverdrup Center for Global Ocean Studies and Operational Oceanography
Research Group: 
Data Assimilation
E-mail: 
Phone: 
+47 458 30 885
E-Mail Address: 
abhishek.shah@nersc.no
Home Address
Street Address 1: 
Glyderprisvien
City: 
Bergen
Country: 
Norway
Employment Start Date: 
2. February 2015

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
Home Address
Street Address 1: 
via L. D'Avanzo 26
City: 
Bari
Country: 
Italy

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
E-Mail Address: 
wangyiguo.ssc@gmail.com
Home Address
Street Address 1: 
Gannan Xian, Gannan Zhen, Bianjiang Cun
Post Code: 
162100
City: 
QIqihaer
Country: 
Chine
Employment Start Date: 
1. April 2014
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