What is he best known for?
The fields of study he is best known for:
- Oceanography
- Meteorology
- Remote sensing
Nicolas Reul mainly investigates Environmental science, Remote sensing, Meteorology, Satellite and Sea surface temperature.
Along with Environmental science, other disciplines of study including Salinity and Tropical cyclone are integrated into his research.
Remote sensing is closely attributed to Brightness temperature in his research.
The study incorporates disciplines such as Wind speed and Emissivity in addition to Brightness temperature.
He is involved in the study of Sea surface temperature that focuses on Sea surface salinity in particular.
His Sea surface salinity research incorporates elements of Field of view, Wake, Plume and L band.
His most cited work include:
- The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle (1156 citations)
- On the limiting aerodynamic roughness of the ocean in very strong winds (588 citations)
- SMOS: The Challenging Sea Surface Salinity Measurement From Space (299 citations)
What are the main themes of his work throughout his whole career to date?
Nicolas Reul spends much of his time researching Environmental science, Remote sensing, Salinity, Meteorology and Satellite.
His studies in Remote sensing integrate themes in fields like Brightness and Brightness temperature.
His Brightness temperature research focuses on Emissivity and how it relates to Microwave.
His Salinity research incorporates themes from Argo, Anomaly and Atmospheric sciences.
His research in Meteorology intersects with topics in Remote sensing and Wind stress.
His study in the field of Earth observation also crosses realms of SSS*.
He most often published in these fields:
- Environmental science (53.90%)
- Remote sensing (38.96%)
- Salinity (35.71%)
What were the highlights of his more recent work (between 2018-2021)?
- Environmental science (53.90%)
- Satellite (27.92%)
- Salinity (35.71%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Environmental science, Satellite, Salinity, Oceanography and Climatology.
Among his Environmental science studies, you can observe a synthesis of other disciplines of science such as SSS*, Remote sensing, Sea surface salinity, Ocean current and Severe weather.
His research investigates the connection between Remote sensing and topics such as Mesoscale meteorology that intersect with issues in L band.
His study on Satellite also encompasses disciplines like
- Radiometer that intertwine with fields like Meteorology,
- Argo which connect with Boundary current.
His work in Salinity addresses subjects such as Sea surface temperature, which are connected to disciplines such as L band radiometer.
Nicolas Reul works mostly in the field of Climatology, limiting it down to topics relating to Latitude and, in certain cases, Sea ice and Stratification, as a part of the same area of interest.
Between 2018 and 2021, his most popular works were:
- Satellite salinity observing system: Recent discoveries and the way forward (35 citations)
- The tropical Atlantic observing system (29 citations)
- Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019) (21 citations)
In his most recent research, the most cited papers focused on:
- Oceanography
- Optics
- Meteorology
The scientist’s investigation covers issues in Environmental science, Satellite, Salinity, Oceanography and Radiometer.
His work in Environmental science incorporates the disciplines of Radiometry, Remote sensing, Mesoscale meteorology, Remote sensing and Ocean observations.
Nicolas Reul has researched Radiometry in several fields, including Argo, Boundary current and L band.
The concepts of his Satellite study are interwoven with issues in Dissolved organic carbon, Weather forecasting and Ocean acidification.
His Salinity study combines topics in areas such as Algorithm, Atmosphere and Earth observation.
His Radiometer research is multidisciplinary, incorporating elements of Ocean modeling, Meteorology, Constellation, Current and Remotely sensing.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
