What is he best known for?
The fields of study he is best known for:
- Meteorology
- Thermodynamics
- Carbon dioxide
His primary scientific interests are in Atmospheric sciences, Aerosol, Meteorology, Smoke and Climatology.
The study incorporates disciplines such as Atmosphere, Radiative transfer, Cloud condensation nuclei and Biomass burning in addition to Atmospheric sciences.
Peter V. Hobbs combines subjects such as Soot, Haze, Mineralogy and Relative humidity with his study of Aerosol.
His biological study spans a wide range of topics, including Volume, Arctic and Boundary layer.
His Smoke research incorporates themes from Combustion, Trace gas, Biomass, Environmental chemistry and Troposphere.
Peter V. Hobbs usually deals with Climatology and limits it to topics linked to Ice crystals and Cascade and Chemical physics.
His most cited work include:
- Atmospheric Science: An Introductory Survey (1040 citations)
- Evidence that the spectral dependence of light absorption by aerosols is affected by organic carbon (920 citations)
- Fall speeds and masses of solid precipitation particles (630 citations)
What are the main themes of his work throughout his whole career to date?
Peter V. Hobbs mostly deals with Atmospheric sciences, Meteorology, Aerosol, Climatology and Precipitation.
Peter V. Hobbs interconnects Smoke, Cloud condensation nuclei, Ice nucleus, Plume and Radiative transfer in the investigation of issues within Atmospheric sciences.
His work in Smoke covers topics such as Environmental chemistry which are related to areas like Trace gas.
His Meteorology research is multidisciplinary, relying on both Albedo, Liquid water content and Cloud physics.
His work focuses on many connections between Aerosol and other disciplines, such as Remote sensing, that overlap with his field of interest in Wavelength.
His research integrates issues of Convection, Ice crystals, Snow, Seeding and Doppler radar in his study of Precipitation.
He most often published in these fields:
- Atmospheric sciences (39.33%)
- Meteorology (31.78%)
- Aerosol (25.78%)
What were the highlights of his more recent work (between 2002-2019)?
- Atmospheric sciences (39.33%)
- Aerosol (25.78%)
- Smoke (13.33%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Atmospheric sciences, Aerosol, Smoke, Meteorology and Troposphere.
His study in Atmospheric sciences is interdisciplinary in nature, drawing from both Biomass burning, Atmosphere, Optical depth and Radiometer.
His Aerosol research integrates issues from Hydrology, Haze, Mineralogy and Remote sensing.
His studies deal with areas such as Soot, Panache, Plume, Trace gas and Environmental chemistry as well as Smoke.
Meteorology is closely attributed to Remote sensing in his study.
His Troposphere research includes elements of Planetary boundary layer and Radiative transfer.
Between 2002 and 2019, his most popular works were:
- Evidence that the spectral dependence of light absorption by aerosols is affected by organic carbon (920 citations)
- Individual aerosol particles from biomass burning in southern Africa: 2, Compositions and aging of inorganic particles (344 citations)
- Individual aerosol particles from biomass burning in southern Africa: 1. Compositions and size distributions of carbonaceous particles (321 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Thermodynamics
- Carbon dioxide
His primary areas of investigation include Atmospheric sciences, Aerosol, Smoke, Meteorology and Haze.
His biological study spans a wide range of topics, including Atmosphere, Fossil fuel and Climatology.
In the subject of general Aerosol, his work in Cloud condensation nuclei is often linked to Effective radius, thereby combining diverse domains of study.
Peter V. Hobbs has researched Cloud condensation nuclei in several fields, including Arctic and Nucleation.
His studies in Smoke integrate themes in fields like Environmental chemistry, Trace gas and Taiga.
His study of Mesoscale meteorology is a part of Meteorology.
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.
