What is he best known for?
The fields of study he is best known for:
- Statistics
- Hydrology
- Meteorology
François Brissette mostly deals with Climatology, Precipitation, Hydrology, Downscaling and Drainage basin.
The concepts of his Climatology study are interwoven with issues in Loess plateau, Watershed, Hydrology and Hydrological modelling.
His Hydrology research includes themes of Streamflow and Climate model.
His Precipitation research is multidisciplinary, incorporating perspectives in Atmospheric sciences, Forcing, Global change and Parametric statistics.
His Downscaling study is concerned with the larger field of Meteorology.
His studies in Drainage basin integrate themes in fields like Soil water, Surface water and Water content.
His most cited work include:
- Uncertainty of downscaling method in quantifying the impact of climate change on hydrology (406 citations)
- Uncertainty of the impact of climate change on the hydrology of a nordic watershed (275 citations)
- Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed (271 citations)
What are the main themes of his work throughout his whole career to date?
François Brissette focuses on Climatology, Precipitation, Climate model, Meteorology and Hydrology.
François Brissette has included themes like Drainage basin, Streamflow, Hydrology and Downscaling in his Climatology study.
In his study, which falls under the umbrella issue of Precipitation, Snow and Spatial analysis is strongly linked to Watershed.
His studies deal with areas such as General Circulation Model and Bias correction as well as Climate model.
His Meteorology study integrates concerns from other disciplines, such as Autocorrelation and Hydrological modelling.
His work on Flood myth as part of his general Hydrology study is frequently connected to Greenhouse gas and Hydropower, thereby bridging the divide between different branches of science.
He most often published in these fields:
- Climatology (48.09%)
- Precipitation (32.24%)
- Climate model (22.40%)
What were the highlights of his more recent work (between 2017-2021)?
- Climatology (48.09%)
- Precipitation (32.24%)
- Climate model (22.40%)
In recent papers he was focusing on the following fields of study:
François Brissette spends much of his time researching Climatology, Precipitation, Climate model, Streamflow and Extreme events.
François Brissette applies his multidisciplinary studies on Climatology and Impact studies in his research.
François Brissette combines subjects such as Watershed and General Circulation Model with his study of Precipitation.
Watershed is a subfield of Hydrology that François Brissette tackles.
His work carried out in the field of Climate model brings together such families of science as Calibration, Flood myth, Hydrology and Forcing.
His work deals with themes such as Hindcast, Autoregressive model and Precipitation index, which intersect with Streamflow.
Between 2017 and 2021, his most popular works were:
- Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America (46 citations)
- The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5) (36 citations)
- The hazards of split-sample validation in hydrological model calibration (36 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Hydrology
- Meteorology
His primary scientific interests are in Climatology, Climate model, Precipitation, Hydrology and Streamflow.
His Climatology study incorporates themes from Extreme events and Hydrological modelling.
His Precipitation research includes themes of Calibration, General Circulation Model and Reliability.
His biological study spans a wide range of topics, including Watershed, Target distribution and Joint probability distribution.
His research in Hydrology intersects with topics in Evapotranspiration, Forcing and Pooling.
The various areas that François Brissette examines in his Streamflow study include Relative bias, Data mining and Precipitation index.
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