Documents

Public deliverables

Living documents

Living documents are now closed and finalized. D3.1 (28/05/2014): State of the art non-linear data-assimilation

Finalized documents

WP1

• D1.1 (20/12/2012): First identification of common tools
• D1.2 (20/12/2012): Commplete list of common tools
• D1.3 (26/06/2012): Specification of data model
• D1.4 (20/11/2012): Augmented list of common and new tools
• D1.5 (20/11/2012): Documentation of specifications

WP2

• D2.1 (15/12/2011): SVN server description for collaborative development
• D2.2 (30/10/2015): Short report on upload of codes into the SVN repository
• D2.3 (31/10/2015): Software V0 report
• D2.4 (31/10/2015): Software V1 report
• D2.5 (31/10/2015): Software V2 report

WP3

• D3.1 (30/10/2015): State of the art non-linear data-assimilation
• D3.2 (30/10/2015): Living document on developments
• D3.3 (30/10/2015): Report on Implementation
• D3.4 (30/10/2015): Report on new methods
• D3.5 (30/10/2015): Report on new non-linear methods

WP4

• D4.1 (20/11/2012): Benchmark definitions
• D4.2 (15/04/2014): Benchmark implementations
• D4.3 (15/04/2014): Report on metric analysis
• D4.4 (31/10/2015): Report on small and medium case benchmarks
• D4.5 (31/10/2015): Metrics obtained with the large case benchmark

WP5

• D5.1 (15/04/2014): Data assessment (updated version 30/10/2015)
• D5.2 (2/11/2015): Ecosystem data report
• D5.3 (26/10/2015): Large scale model V1 analysis
• D5.4 (26/10/2015): Large scale model V2 analysis
• D5.5 (26/10/2015): Regional model V1 analysis
• D5.6 (31/10/2015): Regional model V2 analysis
• D5.7 (26/10/2015): Lagrangian ice data analysis
• D5.8 (31/10/2015): Array Analysis

WP6

• D6.1 (20/11/2012): Web pages V1 report
• D6.2 (08/04/2014): Web pages V2 report
• D6.3 (31/10/2015): Web pages V3 report
• D6.4 (30/04/2014): Ph.D Workshop 1 report
• D6.5 (30/11/2015): Ph.D Workshop 2 report
• D6.7 (18/12/2012): Report on Data Assimilation workshop
(for detailed survey analysis see extended D6.7)
• D6.8 (30/10/2015): Report on workshop 2 for operational users
• D6.9 (12/09/2014): Documentation of exercise sets for summerschools
• D6.10 : (30/10/2015) Report on International Colloquium
• D6.12 (20/11/2012): Code release 1 documentation
• D6.13 (15/04/2014): Code release 2 documentation
• D6.14 (30/10/2015): Code release 3 documentation
• DRAFT Final report

Finalized but documents outdated by other deliverables

• First progress report (20/12/2012): summary of year 1 activities
• Second progress report (draft): summary of second reporting period

Publications (not automatically harvested in the openAire system below)

• SANGOMA overview in FP7 Space Research brochure EYE ON SPACE
• Publication in Ocean Science Discussion on scale separation.
• Publication in JAOT Discussion on approximate error calculations.
• A presentation at the 2012 MOMAR workshop .
• A presentation at the 2012 MyOcean science days .
• The SANGOMA Tools for Data Assimilation presented at the 2014 MyOcean science days .
• Metref S., Cosme E., Snyder C. and Brasseur P. (2014): A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation, Nonlinear Proc. Geophys 21 (869–885), doi:10.5194/npg-21-869-2014
• Candille, G., Brankart, J. M., and Brasseur, P. (2015): Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation, Ocean Science 11 (425–438), doi:10.5194/os-11-425-2015.
• Brankart J.-M., Candille G., Garnier F., Calone Ch., Melet A., Bouttier P.- A., Brasseur P. and Verron J. (2015): A generic approach to explicit simulation of uncertainty in the NEMO ocean model, Geophysical Model Development 8 (1285–1297), doi:10.5194/gmd-8-1285-2015
• Yan Y., Barth A., Beckers J.M., Candille G., Brankart J.M., Brasseur P. (2015): Ensemble assimilation of ARGO temperature profile, sea surface temperature and altimetric satellite data into an eddy permitting primitive equation model of the North Atlantic Ocean, J. Geophys. Research Oceans 120 (5134–5157), doi:10.1002/2014JC010349.
• Garnier F., Brasseur P., Brankart J.-M., Cosme E. and Verron J. (2016): Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data, Journal of Marine Systems (59–72), doi:10.1016/j.jmarsys.2015.10.012
• Abdelnur Ruggiero G., Cosme E., Brankart J.-M., Le Sommer J., Ubelmann C. (2015): An efficient way to account for error correlations in the assimilation of observations from the future SWOT High-Resolution altimeter mission, Journal of Atmospheric and Oceanic Technology, in prep.
Details are on Sangoma Open Air

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