Výsledky vyhledávání - "Anthony T. Weaver"

Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean

Autor: Stefano Ciavatta, Arthur Vidard, Jim Cummings, Matthew Martin, Sergey Frolov, Anna Teruzzi, Peter R. Oke, Andrea Storto, Bruce D. Cornuelle, Anthony T. Weaver, Magdalena Balmaseda, Pierre F. J. Lermusiaux, Santha Akella, Paolo Oddo, Laurent Bertino, Andrew M. Moore, Hernan G. Arango

Publikováno v: Frontiers in Marine Science
Frontiers in Marine Science, Frontiers Media, 2019, 6 (90), pp.1-7. ⟨10.3389/fmars.2019.00090⟩
Frontiers in Marine Science, Vol 6 (2019)
Frontiers in Marine Science 6 (2019). doi:10.3389/fmars.2019.00090
info:cnr-pdr/source/autori:Moore, Andrew M.; Martini, Matthew J.; Akella, Santha; Arango, Hernan G.; Balmaseda, Magdalena; Bertino, Laurent; Ciavatta, Stefano; Cornuelle, Bruce; Cummings, Jim; Frolov, Sergey; Lermusiaux, Pierre; Oddo, Paolo; Oke, Peter R.; Storto, Andrea; Teruzzi, Anna; Vidard, Arthur; Weaver, Anthony T./titolo:Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean/doi:10.3389%2Ffmars.2019.00090/rivista:Frontiers in Marine Science/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:6
Frontiers in Marine Science, 2019, 6 (90), pp.1-7. ⟨10.3389/fmars.2019.00090⟩

International audience; Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational deman

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d895e1b328f8069571a31b709ef87373
https://doi.org/10.3389/fmars.2019.00090

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Modelling spatially correlated observation errors in variational data assimilation using a diffusion operator on an unstructured mesh

Autor: Anthony T. Weaver, Xavier Vasseur, Selime Gürol, Serge Gratton, Yann Michel, Oliver Guillet

Publikováno v: Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society, Wiley, 2019, pp.1-21. ⟨10.1002/qj.3537⟩
Quarterly Journal of the Royal Meteorological Society, 2019, pp.1-21. ⟨10.1002/qj.3537⟩

International audience; We propose a method for representing spatially correlated observation errors in variational data assimilation. The method is based on the numerical solution of a diffusion equation, a technique commonly used for representing s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf1da7a78496a8eab11039fb7082154a
https://hal.archives-ouvertes.fr/hal-02160404

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The EU-FP7 ERA-CLIM2 project contribution to advancing science and production of earth system climate reanalyses

Publikováno v: Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society, 2017, 99 (5), pp.1003-1014. ⟨10.1175/BAMS-D-17-0199.1⟩
Bulletin of the American Meteorological Society, American Meteorological Society, 2017, 99 (5), pp.1003-1014. ⟨10.1175/BAMS-D-17-0199.1⟩
Bulletin of the American Meteorological Society 99 (2018): 1003–1014. doi:10.1175/BAMS-D-17-0199.1
info:cnr-pdr/source/autori:Buizza, Roberto; Bronnimann, Stefan; Haimberger, Leopold; Laloyaux, Patrick; Martin, Matthew J.; Fuentes, Manuel; Alonso-Balmaseda, Magdalena; Becker, Andreas; Blaschek, Michael; Dahlhlgren, Per; de Boisssseson, Eric; Dee, Dick; Doutriaux-Boucher, Marie; Feng, Xiangbo; John, Viju O.; Haines, Keith; Jourdain, Sylvlvie; Kosaka, Yuki; Lea, Daniel; Lemarie, Florian; Mayer, Michael; Messssina, Palmira; Perrrruche, Coralie; Peylin, Philippe; Pullllainen, Jounie; Rayner, Nick; Rustemeier, Elke; Schepersrs, Dinand; Saundersrs, Roger; Schulz, Jorg; Sterin, Alexander; Stichelberger, Sebastian; Storto, Andrea; Testut, Charlrles-Emmanuel; Valente, Maria-Antoonia; Vidard, Arthur; Vuichard, Nicolas; Weaver, Anthony; While, James; Ziese, Markus/titolo:THE EU-FP7 ERA-CLIM2 PROJECT CONTRIBUTION TO ADVANCING SCIENCE AND PRODUCTION OF EARTH SYSTEM CLIMATE REANALYSES/doi:10.1175%2FBAMS-D-17-0199.1/rivista:Bulletin of the American Meteorological Society/anno:2018/pagina_da:1003/pagina_a:1014/intervallo_pagine:1003–1014/volume:99
Bulletin of the American Meteorological Society, American Meteorological Society, 2018, 99 (5), pp.1003-1014. ⟨10.1175/BAMS-D-17-0199.1⟩
Buizza, Roberto; Brönnimann, Stefan; Haimberger, Leopold; Laloyaux, Patrick; Martin, Matthew J.; Fuentes, Manuel; Alonso-Balmaseda, Magdalena; Becker, Andreas; Blaschek, Michael; Dahlgren, Per; de Boisseson, Eric; Dee, Dick; Doutriaux-Boucher, Marie; Feng, Xiangbo; John, Viju; Haines, Keith; Jourdain, Sylvie; Kosaka, Yuki; Lea, Daniel; Lemarié, Florian; ... (2018). The EU-FP7 ERA-CLIM2 project contribution to advancing science and production of Earth-system climate reanalyses. Bulletin of the American Meteorological Society, 99(5), pp. 1003-1014. American Meteorological Society 10.1175/BAMS-D-17-0199.1

The European Reanalysis of Global Climate Observations 2 (ERA-CLIM2) is a European Union Seventh Framework Project started in January 2014 and due to be completed in December 2017. It aims to produce coupled reanalyses, which are physically consisten

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb3e6dbcfc8fb7c3a05d0270eb861265
http://hdl.handle.net/11382/524655

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Correlation operators based on an implicitly formulated diffusion equation solved with the Chebyshev iteration

Autor: Anthony T. Weaver, J. Tshimanga, Andrea Piacentini

Publikováno v: Quarterly Journal of the Royal Meteorological Society. 142:455-471

Correlation operators are used in the formulation of background-error covariance models in variational data assimilation (VDA) and for localizing low-rank sample estimates of background-error covariance matrices in ensemble VDA. This article describe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af93854846902ea2c3f3467ce62daeb1
https://doi.org/10.1002/qj.2664

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Implementing a variational data assimilation system in an operational 1/4 degree global ocean model

Autor: Anthony T. Weaver, Matthew Martin, Isabelle Mirouze, Jennifer Waters, D. J. Lea, James While

Publikováno v: Quarterly Journal of the Royal Meteorological Society. 141:333-349

This article describes the implementation of an incremental first guess at an appropriate time three-dimensional variational (3DVAR) data assimilation scheme, NEMOVAR, in the Met Office's operational 1/4 degree global ocean model. NEMOVAR assimilates

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7149a5322dcff5c7e19cb0ddf7fe8cae
https://doi.org/10.1002/qj.2388

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B -preconditioned minimization algorithms for variational data assimilation with the dual formulation

Autor: Andrew M. Moore, Serge Gratton, Anthony T. Weaver, Hernan G. Arango, Selime Gürol, Andrea Piacentini

Publikováno v: Quarterly Journal of the Royal Meteorological Society. 140:539-556

Variational data assimilation problems in meteorology and oceanography require the solution of a regularized nonlinear least-squares problem. Practical solution algorithms are based on the incremental (truncated Gauss–Newton) approach, which involv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7b63ff48c348f939b12cc91ee2b13b6
https://doi.org/10.1002/qj.2150

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