What is he best known for?
The fields of study he is best known for:
- Statistics
- Oceanography
- Climatology
Matthew Martin mainly investigates Climatology, Meteorology, Sea surface temperature, Data assimilation and Sea ice.
His Climatology research integrates issues from Deep sea and Weather forecasting.
His research in Weather forecasting focuses on subjects like Numerical weather prediction, which are connected to Bias correction, Buoy, AATSR and Remote sensing.
His study in Meteorology is interdisciplinary in nature, drawing from both Shallow water equations and Forcing.
His Data assimilation study integrates concerns from other disciplines, such as Salinity, Temperature salinity diagrams, Covariance, Pressure gradient and Equator.
His Salinity research is multidisciplinary, relying on both Iterative method, Statistics and Ocean observations.
His most cited work include:
- The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system (642 citations)
- EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates (596 citations)
- Skillful long‐range prediction of European and North American winters (447 citations)
What are the main themes of his work throughout his whole career to date?
Matthew Martin mostly deals with Climatology, Data assimilation, Meteorology, Sea surface temperature and Argo.
His work is dedicated to discovering how Climatology, Salinity are connected with Ocean observations and other disciplines.
His Data assimilation research is multidisciplinary, incorporating elements of Atmosphere, Temperature salinity diagrams, Satellite, Ocean current and Altimeter.
His study in the field of Weather forecasting, Sea ice, Numerical weather prediction and Ocean forecasting is also linked to topics like Assimilation.
The Sea surface temperature study which covers Remote sensing that intersects with Resolution and Feature.
His Argo study deals with Boundary current intersecting with Ocean dynamics.
He most often published in these fields:
- Climatology (44.80%)
- Data assimilation (44.80%)
- Meteorology (39.20%)
What were the highlights of his more recent work (between 2018-2021)?
- Data assimilation (44.80%)
- Satellite (14.40%)
- Sea surface temperature (20.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Data assimilation, Satellite, Sea surface temperature, Climatology and Ocean observations.
His Data assimilation research incorporates themes from Current, Sea ice, Service and Numerical weather prediction.
Numerical weather prediction is a subfield of Meteorology that Matthew Martin investigates.
His research investigates the connection between Meteorology and topics such as Predictive modelling that intersect with issues in Ocean current.
His Sea surface temperature research includes elements of Inflation, Length scale and Remote sensing.
Climatology is closely attributed to Ocean forecasting in his research.
Between 2018 and 2021, his most popular works were:
- From Observation to Information and Users: The Copernicus Marine Service Perspective (38 citations)
- Satellite salinity observing system: Recent discoveries and the way forward (35 citations)
- Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks (26 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Oceanography
- Climate change
Satellite, Data assimilation, Ocean observations, Salinity and State are his primary areas of study.
Matthew Martin has included themes like Remote sensing, Argo and Mesoscale meteorology in his Satellite study.
In his study, Matthew Martin carries out multidisciplinary Data assimilation and Downstream research.
Matthew Martin interconnects Altimeter, Reliability, Observational study and Robustness in the investigation of issues within Ocean observations.
His work carried out in the field of Salinity brings together such families of science as Remote sensing, Radiometry, Climatology and Ocean forecasting.
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