Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework

N. El Mocayd; S. Ricci; M. Rochoux; N. Goutal; S. Boyaval; C. Goeury; D. Lucor

Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework

N. El Mocayd
, S. Ricci
, M. Rochoux
, N. Goutal
, S. Boyaval
, C. Goeury
, D. Lucor

CNRS
Lamsid/EDF/R and D
Saint-Venant Laboratory
INRIA Saclay, Laboratoire de Recherche en Informatique (LRI), Université Paris Sud

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

langue originale	Anglais
titre	Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016
rédacteurs en chef	Sabine Simeoni-Sauvage, Jose Miguel Sanchez-Perez, Andrea-Emilio Rizzoli
Editeur	International Environmental Modelling and Software Society (iEMSs)
Pages	356
Nombre de pages	1
ISBN (Electronique)	9788890357459
état	Publié - 1 janv. 2016
Modification externe	Oui
Evénement	8th International Congress on Environmental Modelling and Software - Environmental Modelling and Software for Supporting a Sustainable Future, iEMSs 2016 - Toulouse, France Durée: 10 juil. 2016 → 14 juil. 2016

Série de publications

Nom	Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016
Volume	2

Une conférence

Une conférence	8th International Congress on Environmental Modelling and Software - Environmental Modelling and Software for Supporting a Sustainable Future, iEMSs 2016
Pays/Territoire	France
La ville	Toulouse
période	10/07/16 → 14/07/16

Autres fichiers et liens

Lien vers la publication dans Scopus

Contient cette citation

El Mocayd, N., Ricci, S., Rochoux, M., Goutal, N., Boyaval, S., Goeury, C., & Lucor, D. (2016). Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework. Dans S. Simeoni-Sauvage, J. M. Sanchez-Perez, & A.-E. Rizzoli (eds.), Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016 (p. 356). (Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016; Vol 2). International Environmental Modelling and Software Society (iEMSs).

El Mocayd, N. ; Ricci, S. ; Rochoux, M. et al. / Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework. Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016. Editeur / Sabine Simeoni-Sauvage ; Jose Miguel Sanchez-Perez ; Andrea-Emilio Rizzoli. International Environmental Modelling and Software Society (iEMSs), 2016. p. 356 (Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016).

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title = "Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework",

author = "\{El Mocayd\}, N. and S. Ricci and M. Rochoux and N. Goutal and S. Boyaval and C. Goeury and D. Lucor",

year = "2016",

month = jan,

day = "1",

language = "English",

series = "Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016",

publisher = "International Environmental Modelling and Software Society (iEMSs)",

pages = "356",

editor = "Sabine Simeoni-Sauvage and Sanchez-Perez, \{Jose Miguel\} and Andrea-Emilio Rizzoli",

booktitle = "Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016",

note = "8th International Congress on Environmental Modelling and Software - Environmental Modelling and Software for Supporting a Sustainable Future, iEMSs 2016 ; Conference date: 10-07-2016 Through 14-07-2016",

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El Mocayd, N, Ricci, S, Rochoux, M, Goutal, N, Boyaval, S, Goeury, C & Lucor, D 2016, Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework. Dans S Simeoni-Sauvage, JM Sanchez-Perez & A-E Rizzoli (eds), Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016. Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016, VOL. 2, International Environmental Modelling and Software Society (iEMSs), p. 356, 8th International Congress on Environmental Modelling and Software - Environmental Modelling and Software for Supporting a Sustainable Future, iEMSs 2016, Toulouse, France, 10/07/16.

Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework. / El Mocayd, N.; Ricci, S.; Rochoux, M. et al.
Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016. Ed. / Sabine Simeoni-Sauvage; Jose Miguel Sanchez-Perez; Andrea-Emilio Rizzoli. International Environmental Modelling and Software Society (iEMSs), 2016. p. 356 (Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016; Vol 2).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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T1 - Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework

AU - El Mocayd, N.

AU - Ricci, S.

AU - Rochoux, M.

AU - Goutal, N.

AU - Boyaval, S.

AU - Goeury, C.

AU - Lucor, D.

PY - 2016/1/1

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UR - https://www.scopus.com/pages/publications/85087573886

M3 - Conference contribution

AN - SCOPUS:85087573886

T3 - Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016

SP - 356

BT - Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016

A2 - Simeoni-Sauvage, Sabine

A2 - Sanchez-Perez, Jose Miguel

A2 - Rizzoli, Andrea-Emilio

PB - International Environmental Modelling and Software Society (iEMSs)

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El Mocayd N, Ricci S, Rochoux M, Goutal N, Boyaval S, Goeury C et al. Uncertainty quantification with polynomial chaos expansion in ensemble based data assimilation framework. Dans Simeoni-Sauvage S, Sanchez-Perez JM, Rizzoli AE, rédacteurs en chef, Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016. International Environmental Modelling and Software Society (iEMSs). 2016. p. 356. (Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016).