What is he best known for?
The fields of study he is best known for:
- Statistics
- Oceanography
- Meteorology
The scientist’s investigation covers issues in Data assimilation, Meteorology, Climatology, Kalman filter and Ocean current.
His work on Meteorological reanalysis as part of general Data assimilation study is frequently linked to Context, therefore connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Hydrography and Temperature salinity diagrams.
His Climatology research incorporates themes from Assimilation, Altimeter and Mediterranean sea.
His research on Kalman filter focuses in particular on Ensemble Kalman filter.
In his research, Library science is intimately related to Sea surface temperature, which falls under the overarching field of Hindcast.
His most cited work include:
- Seasonal temperature and salinity fields in the Mediterranean Sea: Climatological analyses of a historical data set (241 citations)
- Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis (Diva) (116 citations)
- A demonstration of ensemble-based assimilation methods with a layered OGCM from the perspective of operational ocean forecasting systems (89 citations)
What are the main themes of his work throughout his whole career to date?
Pierre Brasseur mainly focuses on Data assimilation, Climatology, Meteorology, Oceanography and Kalman filter.
The Data assimilation study combines topics in areas such as Ensemble Kalman filter, Extended Kalman filter, Ocean current, Altimeter and Algorithm.
Pierre Brasseur has included themes like Assimilation and Mediterranean sea in his Climatology study.
His Meteorology study incorporates themes from Remote sensing, Probabilistic logic, Mercator projection and Temperature salinity diagrams.
His work on General Circulation Model as part of general Oceanography study is frequently connected to Context, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His work deals with themes such as Covariance matrix and Reduced order, which intersect with Kalman filter.
He most often published in these fields:
- Data assimilation (50.00%)
- Climatology (42.23%)
- Meteorology (35.92%)
What were the highlights of his more recent work (between 2014-2021)?
- Climatology (42.23%)
- Meteorology (35.92%)
- Data assimilation (50.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Climatology, Meteorology, Data assimilation, Probabilistic logic and Ensemble Kalman filter.
Pierre Brasseur combines subjects such as Scale, Statistical model, Mediterranean climate, Mediterranean sea and Oceanography with his study of Climatology.
Pierre Brasseur works mostly in the field of Meteorology, limiting it down to concerns involving Ocean current and, occasionally, Drifter.
Pierre Brasseur undertakes multidisciplinary studies into Data assimilation and Particle filter in his work.
His Probabilistic logic research includes themes of Kalman filter, Argo, Multivariate statistics and Biogeochemical cycle.
His Ensemble Kalman filter research is multidisciplinary, relying on both Assimilation, Algorithm and Random variable.
Between 2014 and 2021, his most popular works were:
- Copernicus Marine Service Ocean State Report (51 citations)
- Eddy properties in the Western Mediterranean Sea from satellite altimetry and a numerical simulation (51 citations)
- Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments (46 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Oceanography
- Meteorology
His primary areas of investigation include Data assimilation, Meteorology, Climatology, Altimeter and Context.
In his study, Deterministic simulation is strongly linked to Probabilistic logic, which falls under the umbrella field of Data assimilation.
In the subject of general Meteorology, his work in Operational oceanography and Ocean forecasting is often linked to Product, Scientific development and Energy resources, thereby combining diverse domains of study.
His Climatology research incorporates elements of Assimilation, Covariance, Filter and Statistical model.
His study explores the link between Statistical model and topics such as Kalman filter that cross with problems in Ocean current.
His study in Altimeter is interdisciplinary in nature, drawing from both Reliability, Observational study, Systems engineering and Robustness.
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