What is she best known for?
The fields of study she is best known for:
- Climate change
- Ecology
- Hydrology
Christel Prudhomme mostly deals with Climate change, Climatology, Hydrology, Hydrology and Flood myth.
Christel Prudhomme has included themes like Arid and Biological dispersal in her Climate change study.
Her Climatology research incorporates themes from Downscaling, Precipitation, Global warming, Greenhouse gas and Water resources.
The concepts of her Hydrology study are interwoven with issues in Natural hazard, Flooding, Physical geography and Scale.
Christel Prudhomme performs multidisciplinary study in the fields of Flood myth and Magnitude via her papers.
Within one scientific family, Christel Prudhomme focuses on topics pertaining to Discharge under Surface runoff, and may sometimes address concerns connected to Streamflow.
Her most cited work include:
- Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment (393 citations)
- Downscaling of global climate models for flood frequency analysis: where are we now? (343 citations)
- SW—Soil and Water: Climate Change and Water Resources Management in Arid and Semi-arid Regions: Prospective and Challenges for the 21st Century (286 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Climatology, Climate change, Flood myth, Streamflow and Hydrology.
Her biological study spans a wide range of topics, including Meteorology, Precipitation and Scale.
She focuses mostly in the field of Climate change, narrowing it down to matters related to Hydrology and, in some cases, Land use.
Her work on Return period as part of general Flood myth research is often related to Flooding, thus linking different fields of science.
She interconnects Sample, Environmental resource management and Water resources in the investigation of issues within Streamflow.
Her studies in Hydrology integrate themes in fields like Flooding, Water resource management, Groundwater, Range and Physical geography.
She most often published in these fields:
- Climatology (47.58%)
- Climate change (41.53%)
- Flood myth (39.92%)
What were the highlights of her more recent work (between 2018-2021)?
- Flood myth (39.92%)
- Meteorology (23.39%)
- Climatology (47.58%)
In recent papers she was focusing on the following fields of study:
Flood myth, Meteorology, Climatology, Climate change and Forecast skill are her primary areas of study.
Her Flood myth research includes elements of Natural hazard, Discharge, Ensemble forecasting and Water resource management.
The various areas that Christel Prudhomme examines in her Meteorology study include Flash flood and Flood forecasting.
Her Climatology research includes themes of Extreme events, Sample, Streamflow and Precipitation.
Her Streamflow research incorporates elements of Environmental resource management and Water resources.
Her study explores the link between Climate change and topics such as Scale that cross with problems in Thermal comfort, Climate index and Mean radiant temperature.
Between 2018 and 2021, her most popular works were:
- Impacts of multiple stressors on freshwater biota across spatial scales and ecosystems. (45 citations)
- GloFAS-ERA5 operational global river discharge reanalysis 1979–present (16 citations)
- GloFAS-ERA5 operational global river discharge reanalysis 1979–present (16 citations)
In her most recent research, the most cited papers focused on:
- Climate change
- Ecology
- Hydrology
Her primary areas of study are Flood myth, Climatology, Climate change, Streamflow and Scale.
Her study in Flood myth is interdisciplinary in nature, drawing from both Discharge and Meteorology.
She has included themes like Cover, Sample, Range and Water sector in her Climatology study.
Her Streamflow study results in a more complete grasp of Drainage basin.
The Drainage basin study combines topics in areas such as Ecology, Water resources and Hydrology.
Her Scale research includes elements of Thermal comfort, Climate index and Mean radiant temperature.
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