D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 31 Citations 4,705 72 World Ranking 6141 National Ranking 290

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Climate change
  • Meteorology

His scientific interests lie mostly in Downscaling, Climatology, Climate model, Meteorology and Climate change. His Downscaling study integrates concerns from other disciplines, such as Value, Cross-validation and Generalized additive model. His Climatology research is multidisciplinary, incorporating elements of Statistical model and Precipitation.

The various areas that Mathieu Vrac examines in his Climate model study include Copula, Econometrics and Multivariate statistics. His Meteorology study combines topics from a wide range of disciplines, such as Wind power, Mediterranean climate and Cumulative distribution function. His research on Climate change frequently links to adjacent areas such as Marine ecosystem.

His most cited work include:

  • Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user (1050 citations)
  • Statistical precipitation downscaling for small-scale hydrological impact investigations of climate change (182 citations)
  • Probabilistic downscaling approaches: Application to wind cumulative distribution functions (169 citations)

What are the main themes of his work throughout his whole career to date?

Climatology, Downscaling, Precipitation, Climate model and Climate change are his primary areas of study. His Climatology research is multidisciplinary, relying on both Mediterranean climate, Atmospheric sciences and Statistical model. The subject of his Downscaling research is within the realm of Meteorology.

Mathieu Vrac has included themes like Storm surge, GCM transcription factors, Probabilistic logic, Physical geography and Forcing in his Precipitation study. His Climate model research incorporates themes from Spatial ecology, Univariate, Quantile and Projection. Mathieu Vrac interconnects Drainage basin, Streamflow and Iceberg, Ice sheet in the investigation of issues within Climate change.

He most often published in these fields:

  • Climatology (45.16%)
  • Downscaling (39.52%)
  • Precipitation (33.87%)

What were the highlights of his more recent work (between 2018-2020)?

  • Climatology (45.16%)
  • Climate model (23.39%)
  • Meteorology (20.16%)

In recent papers he was focusing on the following fields of study:

Mathieu Vrac mostly deals with Climatology, Climate model, Meteorology, Precipitation and Scale. His research in Climatology intersects with topics in Bias correction, Global warming, Climate change, Downscaling and Value. His work in Downscaling is not limited to one particular discipline; it also encompasses Extreme events.

His research integrates issues of Quantile, Parametric statistics, Random variable and Joint probability distribution in his study of Climate model. As a part of the same scientific study, Mathieu Vrac usually deals with the Meteorology, concentrating on Coherence and frequently concerns with Wind speed and Projection. His work deals with themes such as Flooding, Surface runoff and Storm surge, which intersect with Precipitation.

Between 2018 and 2020, his most popular works were:

  • An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment (75 citations)
  • Higher probability of compound flooding from precipitation and storm surge in Europe under anthropogenic climate change. (55 citations)
  • Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE (34 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Climate change
  • Meteorology

His primary areas of investigation include Value, Downscaling, Climatology, Copula and Heat wave. The various areas that he examines in his Value study include Extreme events, Climate change, Model output statistics and Reproducibility. The Downscaling study combines topics in areas such as Cross-validation, Bias correction and Future climate.

His Copula study contributes to a more complete understanding of Statistics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user

Douglas Maraun;Douglas Maraun;F. Wetterhall;A. M. Ireson;R. E. Chandler.
Reviews of Geophysics (2010)

1406 Citations

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

Patrick Willems;Patrick Willems;Patrick Willems;M Vrac.
Journal of Hydrology (2011)

266 Citations

Probabilistic downscaling approaches: Application to wind cumulative distribution functions

P.-A. Michelangeli;M. Vrac;H. Loukos.
Geophysical Research Letters (2009)

238 Citations

Extreme events: dynamics, statistics and prediction

M. Ghil;P. Yiou;Stephane Hallegatte;B. D. Malamud.
Nonlinear Processes in Geophysics (2011)

197 Citations

Multivariate—Intervariable, Spatial, and Temporal—Bias Correction*

Mathieu Vrac;Petra Friederichs.
Journal of Climate (2015)

154 Citations

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

Isabelle Tobin;Robert Vautard;Irena Balog;François-Marie Bréon.
Climatic Change (2015)

152 Citations

Statistical downscaling of river flows

Clement Tisseuil;Mathieu Vrac;Sovan Lek;Andrew J. Wade.
Journal of Hydrology (2010)

132 Citations

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

Katerina Goubanova;Vincent Echevin;Boris Dewitte;Francis Codron.
Climate Dynamics (2011)

118 Citations

Intercomparison of statistical and dynamical downscaling models under the EURO- and MED-CORDEX initiative framework: present climate evaluations

Pradeebane Vaittinada Ayar;Mathieu Vrac;Sophie Bastin;Sophie Bastin;Julie Carreau.
Climate Dynamics (2016)

111 Citations

Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment

Mathieu Vrac;Philippe Drobinski;Anthony Merlo;Anthony Merlo;Marine Herrmann.
Natural Hazards and Earth System Sciences (2012)

109 Citations

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