What is he best known for?
The fields of study he is best known for:
- Meteorology
- Statistics
- Thunderstorm
His primary scientific interests are in Meteorology, Convection, Atmospheric sciences, Remote sensing and Climatology.
Peter T. May usually deals with Meteorology and limits it to topics linked to Polarimetry and Wavelength.
His Convection research incorporates themes from Middle latitudes and Geophysics.
His biological study spans a wide range of topics, including Thunderstorm, Positive vorticity advection, Tropical cyclone and Wind profiler.
His biological study focuses on Backscatter.
His work on Monsoon as part of general Climatology study is frequently linked to Range, therefore connecting diverse disciplines of science.
His most cited work include:
- The Tropical Warm Pool International Cloud Experiment (155 citations)
- Dormancy of grapevine buds ‐ facts and speculation (118 citations)
- Using Dual-Polarized Radar and Dual-Frequency Profiler for DSD Characterization: A Case Study from Darwin, Australia (116 citations)
What are the main themes of his work throughout his whole career to date?
Peter T. May mainly investigates Meteorology, Remote sensing, Atmospheric sciences, Climatology and Wind profiler.
His Meteorology research includes elements of Range and Radio acoustic sounding system.
His Remote sensing research includes elements of Polarimetry, Radar engineering details, Weather radar and Doppler radar, Doppler effect.
His Atmospheric sciences study incorporates themes from Gravity wave, Convection and Outflow.
His study in Climatology is interdisciplinary in nature, drawing from both Radiosonde and Aerosol.
The Wind profiler study combines topics in areas such as Freezing level and Front.
He most often published in these fields:
- Meteorology (44.08%)
- Remote sensing (31.58%)
- Atmospheric sciences (25.00%)
What were the highlights of his more recent work (between 2011-2019)?
- Meteorology (44.08%)
- Remote sensing (31.58%)
- Atmospheric sciences (25.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Meteorology, Remote sensing, Atmospheric sciences, Polarimetry and Convection.
His work on Operational forecasting and Rain gauge as part of general Meteorology research is frequently linked to Forecasting theory, Project commissioning and Inverse, bridging the gap between disciplines.
His Remote sensing study combines topics from a wide range of disciplines, such as Weather radar, Doppler effect, Tropical convection, Estimator and Data set.
His work deals with themes such as Atmosphere, Climatology, Geophysics and Mesoscale convective system, which intersect with Atmospheric sciences.
His Polarimetry research is multidisciplinary, relying on both Probability density function, C band and Wind profiler.
The Convection study which covers Precipitation that intersects with Seeding.
Between 2011 and 2019, his most popular works were:
- Relationships between the large‐scale atmosphere and the small‐scale convective state for Darwin, Australia (54 citations)
- Statistics of Storm Updraft Velocities from TWP-ICE Including Verification with Profiling Measurements (42 citations)
- The four cumulus cloud modes and their progression during rainfall events: A C-band polarimetric radar perspective (42 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Optics
Peter T. May spends much of his time researching Atmospheric sciences, Climatology, Convection, Monsoon and Meteorology.
Peter T. May combines subjects such as Convective available potential energy, Atmospheric instability, Free convective layer and Convective mixing with his study of Climatology.
His work in Convection addresses issues such as Polarimetry, which are connected to fields such as Inversion, Natural convection, Troposphere and C band.
The study incorporates disciplines such as Cloud top, Radiosonde and Precipitation in addition to Monsoon.
His studies in Meteorology integrate themes in fields like Remote sensing and Wind profiler.
The various areas that he examines in his Remote sensing study include Storm, Algorithm and Doppler effect.
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