L
Laure Zanna
Researcher at Courant Institute of Mathematical Sciences
Publications - 81
Citations - 2850
Laure Zanna is an academic researcher from Courant Institute of Mathematical Sciences. The author has contributed to research in topics: Sea surface temperature & Climate model. The author has an hindex of 24, co-authored 65 publications receiving 1834 citations. Previous affiliations of Laure Zanna include University of Oxford & New York University.
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Journal ArticleDOI
Lagrangian ocean analysis: Fundamentals and practices
Erik van Sebille,Erik van Sebille,Stephen M. Griffies,Ryan Abernathey,Thomas P. Adams,Pavel Berloff,Arne Biastoch,Bruno Blanke,Eric P. Chassignet,Yu Cheng,Colin J. Cotter,Eric Deleersnijder,Eric Deleersnijder,Kristofer Döös,Henri F. Drake,Henri F. Drake,Sybren Drijfhout,Stefan F. Gary,Arnold Heemink,Joakim Kjellsson,Joakim Kjellsson,Inga Monika Koszalka,Michael Lange,Camille Lique,G. A. MacGilchrist,Robert Marsh,C. Gabriela Mayorga Adame,Ronan McAdam,Francesco Nencioli,Claire B. Paris,Matthew D. Piggott,Jeff A. Polton,Siren Rühs,Syed Hyder Ali Muttaqi Shah,Syed Hyder Ali Muttaqi Shah,Matthew D. Thomas,Jinbo Wang,Phillip J. Wolfram,Laure Zanna,Jan D. Zika,Jan D. Zika +40 more
TL;DR: Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry as mentioned in this paper, where large sets of virtual particles are integrated within the 3D, time-evolving velocity fields.
Journal ArticleDOI
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
Thomas Bolton,Laure Zanna +1 more
TL;DR: In this paper, a convolutional neural network (CNN) was trained on degraded data from a high-resolution quasi-geostrophic ocean model to predict turbulent processes and subsurface flow fields.
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The causes of sea-level rise since 1900
Thomas Frederikse,Felix W. Landerer,Lambert Caron,Surendra Adhikari,David Parkes,Vincent Humphrey,Sönke Dangendorf,Sönke Dangendorf,Peter Hogarth,Laure Zanna,Lijing Cheng,Yun Hao Wu +11 more
TL;DR: A probabilistic framework to reconstruct sea level since 1900 is presented, revealing budget closure within uncertainties and showing ice-mass loss from glaciers as a dominant contributor, and the magnitude of observed global-mean sea-level rise is reconciled with estimates based on the contributing processes.
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Global reconstruction of historical ocean heat storage and transport
TL;DR: A method is presented to reconstruct ocean temperature changes with global, full-depth ocean coverage, revealing warming of 436 ×1021 J since 1871, which demonstrates that the ocean absorbed as much heat during 1921–1946 as during 1990–2015.
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Toward a stochastic parameterization of ocean mesoscale eddies
TL;DR: In this paper, a stochastic parameterization of ocean mesoscale eddies is constructed in order to account for the fluctuations in subgrid transport and to represent upscale turbulent cascades.