What is he best known for?
The fields of study he is best known for:
- Oceanography
- Statistics
- Meteorology
The scientist’s investigation covers issues in Data assimilation, Climatology, Meteorology, Ocean current and Kalman filter.
Jacques Verron merges many fields, such as Data assimilation and Context, in his writings.
Jacques Verron focuses mostly in the field of Climatology, narrowing it down to topics relating to Oceanography and, in certain cases, Honour.
His study brings together the fields of Forcing and Meteorology.
His Ocean current study combines topics from a wide range of disciplines, such as Baroclinity, Atmospheric sciences, Mercator projection and Ocean general circulation model.
His study in the field of Ensemble Kalman filter also crosses realms of Filter and Filter.
His most cited work include:
- A singular evolutive extended Kalman filter for data assimilation in oceanography (426 citations)
- Can we improve the representation of modeled ocean mixed layer by assimilating surface-only satellite-derived data? A case study for the tropical Pacific during the 1997-1998 El Nino (255 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?
Jacques Verron focuses on Data assimilation, Climatology, Meteorology, Altimeter and Environmental science.
The various areas that Jacques Verron examines in his Data assimilation study include Sea-surface height, Kalman filter, Extended Kalman filter, Covariance matrix and Applied mathematics.
In general Kalman filter study, his work on Ensemble Kalman filter often relates to the realm of Filter, thereby connecting several areas of interest.
His Ocean current, Sea surface temperature and Mesoscale meteorology study, which is part of a larger body of work in Climatology, is frequently linked to Assimilation, bridging the gap between disciplines.
He has researched Meteorology in several fields, including Mechanics and Flow.
The Altimeter study combines topics in areas such as Geostrophic wind and Sea level.
He most often published in these fields:
- Data assimilation (46.94%)
- Climatology (37.96%)
- Meteorology (37.55%)
What were the highlights of his more recent work (between 2012-2021)?
- Meteorology (37.55%)
- Altimeter (24.08%)
- Data assimilation (46.94%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Meteorology, Altimeter, Data assimilation, Climatology and Remote sensing.
His study on Variational assimilation is often connected to Environmental science and Data quality as part of broader study in Meteorology.
In his study, Sea level is inextricably linked to Ice sheet, which falls within the broad field of Altimeter.
His Data assimilation course of study focuses on Applied mathematics and Sign, Sensitivity and Stability.
His Climatology research is multidisciplinary, relying on both Water mass, Oceanography and Eddy.
His studies deal with areas such as Calibration, Sea surface temperature and Ocean surface topography as well as Remote sensing.
Between 2012 and 2021, his most popular works were:
- The SARAL/AltiKa Altimetry Satellite Mission (82 citations)
- The Southwest Pacific Ocean circulation and climate experiment (SPICE) (78 citations)
- A generic approach to explicit simulation of uncertainty in the NEMO ocean model (41 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Oceanography
- Meteorology
Jacques Verron spends much of his time researching Altimeter, Climatology, Meteorology, Vortex and Data assimilation.
His work in Altimeter addresses subjects such as Ice sheet, which are connected to disciplines such as Sea level, Radar altimeter, European Remote-Sensing Satellite and Geodesy.
In his work, Statistical model, Sea ice and Computer simulation is strongly intertwined with Circulation, which is a subfield of Climatology.
Jacques Verron performs multidisciplinary studies into Meteorology and Data quality in his work.
He has included themes like Classical mechanics and Angular momentum in his Vortex study.
Data assimilation is frequently linked to Mesoscale meteorology in his study.
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