What is he best known for?
The fields of study he is best known for:
- Climate change
- Ecology
- Remote sensing
His primary scientific interests are in Snow, Remote sensing, Albedo, Snowmelt and Imaging spectrometer.
His Snow research incorporates elements of Image resolution, Wavelength, Atmospheric sciences, Forcing and Lidar.
The study incorporates disciplines such as Atmospheric correction, Atmospheric radiative transfer codes, Radiative transfer and Vegetation in addition to Remote sensing.
His study focuses on the intersection of Albedo and fields such as Radiometry with connections in the field of Bidirectional reflectance distribution function, Solar zenith angle and Spectral bands.
His Snowmelt research integrates issues from Multispectral image and Land use, land-use change and forestry.
His Hydrology research is multidisciplinary, relying on both Climate change, Radiative forcing and Global change.
His most cited work include:
- Climatic, edaphic, and biotic controls over storage and turnover of carbon in soils (840 citations)
- Reflectance quantities in optical remote sensing - definitions and case studies (756 citations)
- Mountain hydrology of the western United States (419 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Snow, Remote sensing, Atmospheric sciences, Albedo and Snowmelt.
His Snow research is multidisciplinary, incorporating perspectives in Hydrology, Climatology, Radiative forcing and Radiative transfer.
Thomas H. Painter has researched Remote sensing in several fields, including Grain size, Vegetation and Imaging spectrometer.
The Forcing research he does as part of his general Atmospheric sciences study is frequently linked to other disciplines of science, such as Carbon black, therefore creating a link between diverse domains of science.
In his study, Mineral dust and Earth science is inextricably linked to Deposition, which falls within the broad field of Albedo.
Thomas H. Painter combines subjects such as Snow field, Absorption, Precipitation and Snow grains with his study of Snowmelt.
He most often published in these fields:
- Snow (73.48%)
- Remote sensing (39.23%)
- Atmospheric sciences (36.46%)
What were the highlights of his more recent work (between 2018-2021)?
- Snow (73.48%)
- Remote sensing (39.23%)
- Snowmelt (29.83%)
In recent papers he was focusing on the following fields of study:
Snow, Remote sensing, Snowmelt, Lidar and Radiative forcing are his primary areas of study.
His Snow study is focused on Meteorology in general.
Many of his research projects under Remote sensing are closely connected to Surface with Surface, tying the diverse disciplines of science together.
His Snowmelt research is multidisciplinary, incorporating elements of Albedo, Atmospheric sciences and Elevation.
His study in Atmospheric sciences is interdisciplinary in nature, drawing from both Radiative transfer modeling, Absorption, Glacier, Snow hydrology and Grain size.
His Radiative forcing study combines topics from a wide range of disciplines, such as Mineral dust and Earth system science.
Between 2018 and 2021, his most popular works were:
- Importance and vulnerability of the world's water towers (152 citations)
- Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign (19 citations)
- Impact of light-absorbing particles on snow albedo darkening and associated radiative forcing over high-mountain Asia: high-resolution WRF-Chem modeling and new satellite observations (16 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Climate change
- Meteorology
Thomas H. Painter mainly investigates Snow, Albedo, Atmospheric sciences, Snowmelt and Lidar.
His work carried out in the field of Albedo brings together such families of science as Snow line, Deposition, Elevation and Radiative forcing, Aerosol.
The Atmospheric sciences study combines topics in areas such as Glacier, Cryosphere, Snowpack and Effects of high altitude on humans.
His Lidar study introduces a deeper knowledge of Remote sensing.
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