What is he best known for?
The fields of study he is best known for:
- Climate change
- Climatology
- Meteorology
The scientist’s investigation covers issues in Climatology, Precipitation, Climate model, Meteorology and Climate change.
He studies Climatology, namely Sea surface temperature.
He focuses mostly in the field of Precipitation, narrowing it down to matters related to Atmospheric sciences and, in some cases, Greenhouse gas and Baroclinity.
Michel Déqué combines subjects such as Scale, Forcing, Global change and Bowen ratio with his study of Climate model.
The various areas that he examines in his Meteorology study include Probabilistic logic and Blocking.
His studies in Atmospheric model integrate themes in fields like Mediterranean climate, Mediterranean sea, Atmosphere and Sea ice.
His most cited work include:
- EURO-CORDEX : new high-resolution climate change projections for European impact research (1084 citations)
- The CNRM-CM5.1 global climate model: description and basic evaluation (789 citations)
- DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER) (785 citations)
What are the main themes of his work throughout his whole career to date?
Michel Déqué mainly investigates Climatology, Climate model, Precipitation, Climate change and Meteorology.
His Climatology research includes themes of General Circulation Model, Atmospheric sciences, Downscaling and Atmospheric model.
His Climate model research incorporates themes from Snow, Range, Global change, Mediterranean sea and Atmospheric circulation.
Michel Déqué interconnects Magnitude, Horizontal resolution, Computer simulation and Spatial variability in the investigation of issues within Precipitation.
His research in Climate change intersects with topics in Mediterranean climate, Sea surface temperature and Greenhouse gas.
His study in the field of Forecast skill is also linked to topics like Variable.
He most often published in these fields:
- Climatology (76.69%)
- Climate model (36.20%)
- Precipitation (30.67%)
What were the highlights of his more recent work (between 2015-2020)?
- Climatology (76.69%)
- Snow (7.36%)
- Climate model (36.20%)
In recent papers he was focusing on the following fields of study:
His main research concerns Climatology, Snow, Climate model, Precipitation and Meteorology.
His Climatology research incorporates elements of Climate change, Atmospheric sciences, Predictability and Arctic.
The concepts of his Climate change study are interwoven with issues in Magnitude, Greenhouse gas and Wet season.
His Climate model research is multidisciplinary, incorporating perspectives in Urban heat island, Urbanization and Hydrology.
His study in the field of Downscaling, Orographic lift and Orography also crosses realms of High resolution.
Many of his research projects under Meteorology are closely connected to Globe with Globe, tying the diverse disciplines of science together.
Between 2015 and 2020, his most popular works were:
- The Subseasonal to Seasonal (S2S) Prediction Project Database (302 citations)
- Precipitation in the EURO-CORDEX 0.11° and 0.44° simulations: high resolution, high benefits? (141 citations)
- A review on Arctic sea‐ice predictability and prediction on seasonal to decadal time‐scales (120 citations)
In his most recent research, the most cited papers focused on:
- Climate change
- Statistics
- Meteorology
Michel Déqué mostly deals with Climatology, Climate model, Precipitation, Climate change and Forecast skill.
In his articles, Michel Déqué combines various disciplines, including Climatology and Electricity generation.
His research integrates issues of Natural hazard, Snow, Global temperature, Water resources and Altitude in his study of Climate model.
His Climate change study integrates concerns from other disciplines, such as Hydrology and Wet season.
His work carried out in the field of Forecast skill brings together such families of science as Boreal, Quasi-biennial oscillation, Stratosphere, North Atlantic oscillation and El Niño Southern Oscillation.
The study incorporates disciplines such as Meteorology and Database in addition to Predictability.
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.
