What is he best known for?
The fields of study he is best known for:
- Optics
- Meteorology
- Aerosol
His primary scientific interests are in Aerosol, Remote sensing, Polarization, Angstrom exponent and Atmospheric sciences.
His Aerosol study contributes to a more complete understanding of Meteorology.
Philippe Goloub interconnects Radiative transfer and Ice crystals in the investigation of issues within Remote sensing.
His studies in Polarization integrate themes in fields like Lidar, Scattering and Radiance.
His Angstrom exponent research includes themes of Haze, Satellite observation and Refractive index.
His work carried out in the field of Atmospheric sciences brings together such families of science as Mineral dust, Wavelength and Radiative forcing.
His most cited work include:
- Remote sensing of aerosols over land surfaces from POLDER‐ADEOS‐1 polarized measurements (360 citations)
- Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid‐Pacific (341 citations)
- Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures (264 citations)
What are the main themes of his work throughout his whole career to date?
Aerosol, Remote sensing, Atmospheric sciences, AERONET and Lidar are his primary areas of study.
His Aerosol study is related to the wider topic of Meteorology.
His Remote sensing study integrates concerns from other disciplines, such as Polarization, Photometer, Optics and Polarimetry.
His Atmospheric sciences research is multidisciplinary, incorporating elements of Atmosphere, Radiative forcing and Radiative transfer.
His AERONET research is multidisciplinary, incorporating perspectives in Climatology and Atmospheric optics.
His research in the fields of Depolarization ratio overlaps with other disciplines such as Effective radius, Materials science and Volcanic ash.
He most often published in these fields:
- Aerosol (67.69%)
- Remote sensing (48.03%)
- Atmospheric sciences (37.99%)
What were the highlights of his more recent work (between 2017-2021)?
- Aerosol (67.69%)
- Lidar (27.07%)
- Remote sensing (48.03%)
In recent papers he was focusing on the following fields of study:
Philippe Goloub mainly focuses on Aerosol, Lidar, Remote sensing, Atmospheric sciences and AERONET.
His research integrates issues of Atmosphere, Radiative transfer and Troposphere in his study of Aerosol.
He combines subjects such as Mineral dust, Sky, Optical depth and Raman spectroscopy with his study of Lidar.
His Remote sensing study combines topics from a wide range of disciplines, such as Polarimetry and Photometer.
His Atmospheric sciences research includes elements of Smoke, Cloud cover, Angstrom exponent, Radiative forcing and Water vapor.
His biological study spans a wide range of topics, including Polarization and Extinction.
Between 2017 and 2021, his most popular works were:
- Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives (80 citations)
- Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China (52 citations)
- Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth (50 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Meteorology
- Aerosol
Philippe Goloub focuses on Aerosol, Atmospheric sciences, AERONET, Radiative transfer and Lidar.
His Aerosol study also includes
- Extinction most often made with reference to Atmosphere,
- Remote sensing which is related to area like Polarimetry.
His Atmospheric sciences study combines topics in areas such as Sun photometer, Depolarization ratio, Cloud cover, Angstrom exponent and Radiative forcing.
His research integrates issues of Global warming, Wind speed, Photometer and Relative humidity in his study of AERONET.
His Radiative transfer course of study focuses on Polarization and Diffuse sky radiation and Residual.
The study incorporates disciplines such as Algorithm, Daytime, Optical depth and Radiosonde in addition to Lidar.
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.
