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.
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