What is she best known for?
The fields of study she is best known for:
- Oceanography
- Climatology
- Statistics
Juliette Mignot spends much of her time researching Climatology, Climate model, Oceanography, Ocean current and Thermohaline circulation.
In her research, she performs multidisciplinary study on Climatology and Ocean gyre.
Juliette Mignot has researched Climate model in several fields, including Atmosphere, North Atlantic Deep Water, Precipitation and Climate commitment.
The concepts of her Ocean current study are interwoven with issues in Paleoclimatology, Predictability and The arctic.
Her work carried out in the field of Thermohaline circulation brings together such families of science as Last Glacial Maximum and Greenland ice sheet.
Her study in Forcing is interdisciplinary in nature, drawing from both Climate system and Global change.
Her most cited work include:
- Climate change projections using the IPSL-CM5 Earth System Model: From CMIP3 to CMIP5 (1077 citations)
- Decadal climate prediction: an update from the trenches (344 citations)
- Key features of the IPSL ocean atmosphere model and its sensitivity to atmospheric resolution (204 citations)
What are the main themes of her work throughout her whole career to date?
Juliette Mignot mainly focuses on Climatology, Climate model, Oceanography, Sea surface temperature and Ocean gyre.
Her Climatology study frequently involves adjacent topics like Predictability.
Her Climate model study integrates concerns from other disciplines, such as Wind stress, Water mass and Greenland ice sheet.
Her Sea surface temperature research is multidisciplinary, incorporating elements of Mixed layer, Convection and Upwelling.
Her Forcing research integrates issues from Solar irradiance and Atmosphere.
Her research in North Atlantic Deep Water intersects with topics in Anomaly and Gulf Stream.
She most often published in these fields:
- Climatology (89.16%)
- Climate model (40.96%)
- Oceanography (29.52%)
What were the highlights of her more recent work (between 2019-2021)?
- Climatology (89.16%)
- Climate model (40.96%)
- Climate change (6.63%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Climatology, Climate model, Climate change, Atmospheric sciences and Oceanography.
Her studies link Surface with Climatology.
Her work deals with themes such as Glacier, Ice caps, Greenland ice sheet, Precipitation and North Atlantic oscillation, which intersect with Climate model.
Her Radiative forcing study in the realm of Climate change connects with subjects such as Shortwave, Mediterranean Basin and Fluid transport.
Her work on Indian ocean and Thermocline as part of general Oceanography study is frequently linked to Deoxygenation and Ocean gyre, therefore connecting diverse disciplines of science.
While the research belongs to areas of Forcing, Juliette Mignot spends her time largely on the problem of Water mass, intersecting her research to questions surrounding Global warming.
Between 2019 and 2021, her most popular works were:
- Presentation and evaluation of the IPSL‐CM6A‐LR climate model (76 citations)
- North Atlantic climate far more predictable than models imply (22 citations)
- Aerosol‐Forced AMOC Changes in CMIP6 Historical Simulations (9 citations)
In her most recent research, the most cited papers focused on:
- Oceanography
- Climate change
- Statistics
Juliette Mignot focuses on Climatology, Climate model, Sea surface temperature, Climate change and North Atlantic oscillation.
Her biological study spans a wide range of topics, including Surface, Downscaling and Coupled model intercomparison project.
Her Climate model research includes elements of Mean squared error, Salinity, Precipitation and Standard deviation.
Her research integrates issues of Seasonal cycle and Radiative forcing, Aerosol in her study of Sea surface temperature.
Her Climate change study combines topics in areas such as Errors-in-variables models, Atmospheric circulation and Mode.
Her North Atlantic oscillation research incorporates themes from Proxy, Paleoclimatology and Statistics, Elastic net regularization, Regression.
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