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NEWS

7th Space Forum: the Region talks about Cerfacs

Cerfacs was mentioned by Carole Delga (Former Minister, President of the Occitanie / Pyrénées-Méditerranée Region) at the 7th edition of the…


New European project UrbanAIR

Cerfacs on the new front of AI and very high resolution modelling of urban flows A new European project, UrbanAIR*, led…


Workshop SYCL@Cerfacs

Cerfacs hosts a SYCL training course on October 29, 2024, organised by Intel with the support of Microsigma. SYCL is a…

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CALENDAR

Monday

07

October

2024

Machine learning for data science

From Monday 7 October 2024 to Thursday 10 October 2024

  Training    

Training session common to CERFACS/INSA Toulouse            Cerfacs is Qualiopi certified for its training activities Duration : 4 days / 27 hours Face to face training session Satisfaction index In October 2023, 100% of participants were satisfied or very satisfied (results collected from 14 respondents out of 15 participants, a response rate […]

Tuesday

08

October

2024

🎓Mathis PEYRON thesis defense

Tuesday 8 October 2024From 10h00 at 12h00

  Phd Thesis       JCA Room, CERFACS, Toulouse, France    

Latent space data assimilation by using deep learning Doctoral School: EDMITT This thesis, which sits at the crossroads of data assimilation (DA) and deep learning (DL), introduces latent space data assimilation, a novel data-driven framework that significantly reduces computational costs and memory requirements, while also offering the potential for more accurate data assimilation results. Importantly, […]

Thursday

10

October

2024

CERFACS SEMINAR

Thursday 10 October 2024From 11h00 at 12h00

  JCA ROOM, CERFACS    

Alban FARCHI (Researcher ECMWF) Online model error correction with neural networks – from theory to the ECMWF forecasting system Recent studies have shown that it is possible to combine machine learning (ML) with data assimilation (DA) to reconstruct the dynamics of systems that are partially and imperfectly observed. Such approach takes advantage of the strengths […]

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PUBLICATIONS

Baur, S., Sanderson, B. M., Séférian, R. and Terray, L. (2024) Change in Wind Renewable Energy Potential Under Stratospheric Aerosol Injections, Earths Future, 12 (10), pp. Article number e2024EF004575, doi:10.1029/2024EF004575

[pdf] [doi]

@ARTICLE{AR-CMGC-24-133, author = {Baur, S. and Sanderson, B.M. and Séférian, R. and Terray, L. }, title = {Change in Wind Renewable Energy Potential Under Stratospheric Aerosol Injections}, year = {2024}, number = {10}, volume = {12}, pages = {Article number e2024EF004575}, doi = {10.1029/2024EF004575}, journal = {Earths Future}, pdf = {https://cerfacs.fr/wp-content/uploads/2024/10/Earths-Future_AR_CFD_24_133.pdf}}

Petrova, I. Y., Miralles, D. G., Brient, F., Donat, M. G., Min, S. -K., Kim, Y. -H. and Bador, M. (2024) Observation-constrained projections reveal longer-than-expected dry spells, Nature, 633, pp. 594-600, doi:10.1038/s41586-024-07887-y

[doi]

@ARTICLE{AR-CMGC-24-126, author = {Petrova, I.Y. and Miralles, D.G. and Brient, F. and Donat, M.G. and Min, S.-K. and Kim, Y.-H. and Bador, M. }, title = {Observation-constrained projections reveal longer-than-expected dry spells}, year = {2024}, volume = {633}, pages = {594-600}, doi = {10.1038/s41586-024-07887-y}, journal = {Nature}}

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31100 Toulouse


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