Data Assimilation

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A summary of improvements to CMEMS' Arctic Monitoring Forecasting Center

Submitted by Henrike Wilborn on 15. November 2021 - 11:30

Data Assimilation

Outputs by the Arctic Monitoring Forecasting Center are being used for Norwegian emergency response tools, among many other societally relevant applications. Laurent Bertino (DA research leader) and colleagues from MET Norway and the Institute of Marine Research summarized the changes and improvements made to the forecasting center’s products since it was established in 2015.

Arthur FILOCHE

Submitted by anonymous (not verified) on 11. October 2021 - 12:47

Name

Last Name:

FILOCHE

First Name:

Arthur

Research Group

Research Groups:

Climate Dynamics and Prediction

Data Assimilation

Scientific Data Management

Contact Information

E-mail address:

arthur.filoche@lip6.fr

Contact person at the Nansen Center:

Julien Brajard

Successful third Crash Course on Data Assimilation

Submitted by Henrike Wilborn on 21. June 2021 - 9:45

Data Assimilation

In the beginning of June, NERSC researchers ran their third Data Assimilation summer school, together with NORCE colleagues, and this time digitally. Over 70 people participated and learned both about the theory of data assimilation and its applications!

Data Assimilation – what is that and what is it used for?

Yue Ying

Data Assimilation

Research

Area of Expertise:

data assimilation

Personal Home Page:

more details on my research can be found here: Yue (Michael) Ying

Employment

Research Group:

Data Assimilation

Job Position:

Researcher

E-mail:

Phone:

+47 912 44 140

Improving weather and climate predictions by training of supermodels

Submitted by Alberto Carrassi on 22. October 2019 - 14:48

Schevenhoven, F., Selten, F., Carrassi, A. & Keenlyside, N. Improving weather and climate predictions by training of supermodels. Earth System Dynamics (2019).

Sukun Cheng

Data Assimilation

Research

Area of Expertise:

data assimilation

Main Research Area:

Ocean Modelling, Data Assimilation and Forecasting

Data assimilation on the neXtSIM sea ice model involving numerical modelling,data assimilation and sea-ice physics.
My work is to develop novel data assimilation methods for numerical models using a time-varying mesh,possibly Lagrangian and non-conservative. In particular,the main task will be the development of an ensemble-based data assimilation system for the state-of-the-art sea ice model,neXtSIM,developed in-house at NERSC. Contribute to studying the probabilistic,ensemblebased,forecast skill of neXtSIM.

Employment

Research Group:

Data Assimilation

Job Position:

Post-doc

E-mail:

Phone:

+47 40582586

Cristin Link:

My Publications in CRIStin

1 attachment

Sébastien Jean-Claude Barthélémy

Submitted by anonymous (not verified) on 7. January 2019 - 12:02

Data Assimilation

Name

Last Name:

Barthélémy

First Name:

Sébastien

Middle Name:

Jean-Claude

Middle Name:

Jean-Claude

Research Group

Research Groups:

Data Assimilation

Contact Information

E-mail address:

Sebastien.Barthelemy@uib.no

Mobile:

+47 33678611017

Avneet Singh

Submitted by anonymous (not verified) on 7. January 2019 - 11:44

Name

Last Name:

Singh

First Name:

Avneet

Research Group

Research Groups:

Climate Dynamics and Prediction

Data Assimilation

Contact Information

E-mail address:

avneet.singh@uib.no

Publication: Data assimilation in the geosciences - An overview of methods, issues, and perspectives

Submitted by Asle Wingsternes on 29. October 2018 - 9:40

You have data, you have a simulation model, then you should probably look into data assimilation.

Julien Brajard

Data Assimilation

Research

Area of Expertise:

computer science

data assimilation

geo-sciences

mathematics

oceanography

remote sensing

statistics

Main Research Area:

Ocean Modelling, Data Assimilation and Forecasting

My work is in the field of remote sensing, inverse modelling, machine learning and data assimilation. The objective is to propose new methodologies in order to extract knowledge from data and physical systems, more specifically in oceanography.

Those methodologies were apply to estimate and forecast key variables and their associated uncertainty in the ocean such as phytoplankton and surface currents. The methodologies developed were using remote sensing data (satellite sensors).

Employment

Research Group:

Data Assimilation

Job Position:

Researcher

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research