Mathieu Vrac

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Dealing with non-stationarity in sub-daily stochastic rainfall models

Lionel Benoit, Mathieu Vrac, Gregoire Mariethoz, 2018 .

A spatial hybrid approach for downscaling of extreme precipitation fields

Mathieu Vrac, Aurélien Bechler, Liliane Bel, 2015 .

Circulation patterns and their differences - A probabilistic point of view

Mathieu Vrac, Henning W. Rust, Matthieu Lengaigne, 2012 .

Copula analysis of mixture models

Mathieu Vrac, Edwin Diday, Lynne Billard, 2012, Comput. Stat..

Analyse et modélisation de données probabilistes par décomposition de mélange de copules et application à une base de données climatologiques

Mathieu Vrac, 2002 .

Boosting performance in Machine Learning of Turbulent and Geophysical Flows via scale separation

Mathieu Vrac, Davide Faranda, Pascal Yiou, 2019 .

Recent Trends in the Recurrence of North Atlantic Atmospheric Circulation Patterns

Mathieu Vrac, Pascal Yiou, Julien Cattiaux, 2018, Complex..

Validation of statistical downscaling methods with respect to extreme events over Europe. Results from the COST Action VALUE

Mathieu Vrac, Rita Pongrácz, Judit Bartholy, 2018 .

Multivariate bias corrections of climate simulations: which benefits for which losses?

Mathieu Vrac, Alex J. Cannon, Denis Allard, 2020 .

Mixture decomposition of distributions by copulas in the symbolic data analysis framework

Mathieu Vrac, Edwin Diday, 2005, Discret. Appl. Math..

Evaluation of a novel non-parametric approach to identify Time of Emergence (ToE) of climate signals

Mathieu Vrac, Christophe Grenier, Eric Pohl, 2020 .

Clustering of Maxima: Spatial Dependencies among Heavy Rainfall in France

Mathieu Vrac, Olivier Mestre, Philippe Naveau, 2013 .

Stochastic downscaling of precipitationwith conditional mixture models

Mathieu Vrac, Julie Carreau, 2011 .

Boosting performance in machine learning of geophysical flows via scale separation

Mathieu Vrac, Davide Faranda, Pascal Yiou, 2020 .

Description symbolique de classes

Mathieu Vrac, Edwin Diday, 2001, EGC.

A Combined Bias Correction and Stochastic Downscaling Method

Mathieu Vrac, Douglas Maraun, Martin Widmann, 2015 .

Extreme events: dynamics, statistics and prediction

Vladimir Kossobokov, Mathieu Vrac, Annette Witt, 2011 .

Copernicus Marine Service Ocean State Report, Issue 4

Veselka Marinova, Mathieu Vrac, Bertrand Chapron, 2020 .

FFNN-LSCE: A two-step neural network model for the reconstruction of surface ocean pCO2 over the Global Ocean

Mathieu Vrac, Marion Gehlen, Anna Denvil-Sommer, 2018 .

A top-down binary tree method for symbolic class descriptions

Mathieu Vrac, Edwin Diday, Suzanne Winsberg, 2002 .

Mélange de lois de lois par copules

Mathieu Vrac, Edwin Diday, Alain Chédin, 2002, EGC.

Statistical modelling of a new global potential vegetation distribution

Mathieu Vrac, Didier M. Roche, G. Levavasseur, 2012 .

Combining global climate models using graph cuts

Mathieu Vrac, Grégoire Mariethoz, Soulivanh Thao, 2021, Climate Dynamics.

Is time a variable like the others in multivariate statistical downscaling and bias correction?

Mathieu Vrac, Yoann Robin, M. Vrac, 2021, Earth System Dynamics.

A combined statistical bias correction and stochastic downscaling method for precipitation

Mathieu Vrac, Douglas Maraun, Martin Widmann, 2016 .

Statistical downscaling of sea-surface wind over the Peru–Chile upwelling region: diagnosing the impact of climate change from the IPSL-CM4 model

Mathieu Vrac, Boris Dewitte, Pascal Terray, 2011 .

Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy)

Mathieu Vrac, Ingrid Hobæk Haff, Douglas Maraun, 2017 .

Stochastic downscaling of precipitation with neural network conditional mixture models

Mathieu Vrac, Julie Carreau, M. Vrac, 2011 .

Autoregressive models for maxima and their applications to CH4 and N2O

Mathieu Vrac, Philippe Naveau, Armelle Guillou, 2009 .

An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment

Benoit Hingray, Mathieu Vrac, José M. Gutiérrez, 2016 .

Statistical downscaling of river flows

Mathieu Vrac, Sovan Lek, Andrew J. Wade, 2010 .

Symbolic Class Descriptions

Mathieu Vrac, Edwin Diday, Suzanne Winsberg, 2002 .

Assessing climate change impacts on European wind energy from ENSEMBLES high-resolution climate projections

Mathieu Vrac, Irena Balog, Pascal Yiou, 2014, Climatic Change.

Statistical precipitation downscaling for small-scale hydrological impact investigations of climate change

Mathieu Vrac, Patrick Willems, P. Willems, 2011 .

Detecting spatial patterns with the cumulant function – Part 2: An application to El Niño

Mathieu Vrac, Philippe Naveau, Alberto Bernacchia, 2007 .

Future air quality in Europe: a multi-model assessment of projected exposure to ozone

Mathieu Vrac, F. Meleux, Markus Amann, 2012 .

Which downscaled rainfall data for climate change impact studies in urban areas? Review of current approaches and trends

Mathieu Vrac, Frédéric Monette, Philippe Gachon, 2017, Theoretical and Applied Climatology.

Trends and variability of seasonal weather regimes

Mathieu Vrac, Pascal Yiou, P. Yiou, 2014 .

Ensemble reconstruction of the atmospheric column from surface pressure using analogues

Mathieu Vrac, Pascal Yiou, Robert Vautard, 2013, Climate Dynamics.

Non-linear statistical downscaling of present and LGM precipitation and temperatures over Europe

Mathieu Vrac, Didier Paillard, Philippe Marbaix, 2007 .

Comparison of spatial downscaling methods of general circulation model results to study climate variability during the Last Glacial Maximum

Mathieu Vrac, Guillaume Levavasseur, Gilles Ramstein, 2018, Geoscientific Model Development.

Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE

Mathieu Vrac, José M. Gutiérrez, Rita Pongrácz, 2019 .