What is he best known for?
The fields of study he is best known for:
- Meteorology
- Statistics
- Precipitation
His primary scientific interests are in Meteorology, Disdrometer, Rain gauge, Remote sensing and Drop size.
His Meteorology research is multidisciplinary, incorporating elements of Lidar and Cloud physics.
His Disdrometer research is multidisciplinary, relying on both Thunderstorm, Convection, Tropical cyclone and Precipitation.
His study in Rain gauge is interdisciplinary in nature, drawing from both Tropical rainfall, Attenuation and Weather radar.
His work carried out in the field of Remote sensing brings together such families of science as Estimator and X band.
His Drop size study integrates concerns from other disciplines, such as Absolute bias and Laser.
His most cited work include:
- Evidence from Tropical Raindrop Spectra of the Origin of Rain from Stratiform versus Convective Clouds (517 citations)
- Comparison of Drop Size Distribution Measurements by Impact and Optical Disdrometers (177 citations)
- X-Band Polarimetric Radar Measurements of Rainfall (164 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Meteorology, Remote sensing, Disdrometer, Precipitation and Global Precipitation Measurement.
Ali Tokay regularly ties together related areas like Cloud physics in his Meteorology studies.
Ali Tokay has included themes like Reflectivity, Weather radar, Dual frequency radar, Ka band and S band in his Remote sensing study.
His Disdrometer research incorporates elements of Liquid water content and Gamma distribution.
His Precipitation study incorporates themes from Climatology, Atmospheric sciences, Middle latitudes, Lidar and Gauge.
His Global Precipitation Measurement research is multidisciplinary, relying on both Range, Cloud microphysics and Precipitation types.
He most often published in these fields:
- Meteorology (69.50%)
- Remote sensing (43.97%)
- Disdrometer (41.13%)
What were the highlights of his more recent work (between 2015-2021)?
- Remote sensing (43.97%)
- Meteorology (69.50%)
- Precipitation (37.59%)
In recent papers he was focusing on the following fields of study:
Remote sensing, Meteorology, Precipitation, Disdrometer and Snow are his primary areas of study.
His studies deal with areas such as Natural hazard, S band, Dual frequency radar and Ka band as well as Remote sensing.
He incorporates Meteorology and Particle-size distribution in his studies.
His Precipitation study combines topics from a wide range of disciplines, such as Lidar and Aerosol.
Disdrometer is a subfield of Drop size that Ali Tokay tackles.
His studies examine the connections between Snow and genetics, as well as such issues in Atmospheric sciences, with regards to Distribution, Connection and Climatology.
Between 2015 and 2021, his most popular works were:
- The Midlatitude Continental Convective Clouds Experiment (MC3E) (100 citations)
- A Novel Approach to Identify Sources of Errors in IMERG for GPM Ground Validation (64 citations)
- Ensemble mean density and its connection to other microphysical properties of falling snow as observed in Southern Finland (30 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Precipitation
Ali Tokay spends much of his time researching Meteorology, Remote sensing, Precipitation, Disdrometer and Particle-size distribution.
His research links Spatial variability with Meteorology.
His research integrates issues of Global precipitation, Radar observations, Radar reflectivity and Benchmark in his study of Remote sensing.
His study explores the link between Precipitation and topics such as Climatology that cross with problems in Weather radar and Microphysics.
Ali Tokay combines subjects such as Lidar, Intensity and Stage with his study of Disdrometer.
As part of the same scientific family, Ali Tokay usually focuses on Global Precipitation Measurement, concentrating on Middle latitudes and intersecting with Footprint.
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