What is he best known for?
The fields of study he is best known for:
- Meteorology
- Infrared
- Optics
Peter Pilewskie mainly focuses on Environmental science, Atmospheric sciences, Meteorology, Aerosol and Radiative transfer.
His Environmental science research spans across into areas like Solar irradiance, Irradiance, Climatology, Atmosphere and Satellite.
His Atmospheric sciences research integrates issues from Optical depth and Smoke.
His Meteorology research includes elements of Radiation, Climate model, Remote sensing and Cloud fraction.
His work on Radiance as part of general Remote sensing study is frequently linked to Radio occultation, bridging the gap between disciplines.
His Aerosol research is multidisciplinary, relying on both Scattering and Tropical wave.
His most cited work include:
- Spectral absorption properties of atmospheric aerosols (388 citations)
- Recent variability of the solar spectral irradiance and its impact on climate modelling (243 citations)
- FIRE Arctic Clouds Experiment (224 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Environmental science, Remote sensing, Atmospheric sciences, Irradiance and Meteorology.
His Environmental science research spans across into subjects like Solar irradiance, Radiative transfer, Albedo, Climatology and Absorption.
His research in Remote sensing intersects with topics in Satellite and Shortwave.
His Atmospheric sciences study integrates concerns from other disciplines, such as Atmosphere, Optical depth, Radiative forcing, Aerosol and Water vapor.
Peter Pilewskie combines subjects such as Cirrus and Radiometry with his study of Irradiance.
Peter Pilewskie has researched Meteorology in several fields, including Remote sensing and Climate model.
He most often published in these fields:
- Environmental science (58.53%)
- Remote sensing (50.23%)
- Atmospheric sciences (36.41%)
What were the highlights of his more recent work (between 2013-2021)?
- Environmental science (58.53%)
- Remote sensing (50.23%)
- Irradiance (31.34%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Environmental science, Remote sensing, Irradiance, Solar irradiance and Meteorology.
His work focuses on many connections between Remote sensing and other disciplines, such as Radiation, that overlap with his field of interest in Biomass burning, Optical depth and Atmospheric composition.
The various areas that he examines in his Irradiance study include Radiative transfer, Solar variation, Atmospheric model and Imaging spectrometer.
His work deals with themes such as Spaceflight, Climatology and Detector, which intersect with Solar irradiance.
Aerosol is the focus of his Meteorology research.
Atmospheric sciences is often connected to Atmosphere in his work.
Between 2013 and 2021, his most popular works were:
- A Solar Irradiance Climate Data Record (138 citations)
- Twomey effect observed from collocated microphysical and remote sensing measurements over shallow cumulus (36 citations)
- Wintertime Northern Hemisphere Response in the Stratosphere to the Pacific Decadal Oscillation Using the Whole Atmosphere Community Climate Model (24 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Infrared
- Optics
His main research concerns Environmental science, Atmospheric sciences, Irradiance, Solar irradiance and Remote sensing.
His Environmental science research spans across into subjects like Meteorology, Radiometer, Aerosol, Albedo and Sea ice.
His Atmospheric sciences research is multidisciplinary, incorporating elements of Atmosphere, Earth's energy budget and Primary.
The Irradiance study combines topics in areas such as Transmittance and Radiative transfer.
His Solar irradiance research is multidisciplinary, incorporating perspectives in Radiation, Solar variation, Solar physics and Space Science.
His research integrates issues of Forcing and Air quality index in his study of Remote 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.
