What is he best known for?
The fields of study he is best known for:
- Meteorology
- Statistics
- Optics
His primary scientific interests are in Data assimilation, Meteorology, Applied mathematics, Environmental science and Mesoscale meteorology.
His biological study spans a wide range of topics, including Adiabatic process, Grid, Precipitation and Minification.
In his study, which falls under the umbrella issue of Meteorology, Warm start is strongly linked to Climatology.
The concepts of his Applied mathematics study are interwoven with issues in Calculus of variations, Hessian matrix, Calculus, Mathematical optimization and Adjoint equation.
His work focuses on many connections between Mesoscale meteorology and other disciplines, such as Extratropical cyclone, that overlap with his field of interest in Scale, Perspective, Period and Synoptic scale meteorology.
He combines topics linked to Geodesy with his work on Remote sensing.
His most cited work include:
- Analysis and validation of GPS/MET data in the neutral atmosphere (470 citations)
- GPS Sounding of the Atmosphere from Low Earth Orbit: Preliminary Results (459 citations)
- Variational Data Assimilation with an Adiabatic Version of the NMC Spectral Model (245 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Environmental science, Meteorology, Remote sensing, Data assimilation and Brightness temperature.
His Environmental science study spans across into subjects like Climatology, Depth sounding, Radio occultation, Advanced Microwave Sounding Unit and Atmospheric sciences.
His Meteorology study frequently draws connections between related disciplines such as Radiance.
Xiaolei Zou studied Remote sensing and Brightness that intersect with Liquid water path.
The various areas that he examines in his Data assimilation study include Weather forecasting, Precipitation, Radiosonde, Applied mathematics and Water vapor.
His Brightness temperature research is multidisciplinary, incorporating elements of Communication channel, Atmospheric radiative transfer codes, Radiative transfer, Noise and Calibration.
He most often published in these fields:
- Environmental science (65.52%)
- Meteorology (57.14%)
- Remote sensing (42.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Environmental science (65.52%)
- Remote sensing (42.86%)
- Brightness temperature (23.65%)
In recent papers he was focusing on the following fields of study:
Xiaolei Zou mostly deals with Environmental science, Remote sensing, Brightness temperature, Data assimilation and Radio occultation.
His Environmental science studies intersect with other subjects such as Meteorology, Data striping, Brightness, Climatology and Radiance.
Meteorology is closely attributed to Bending in his research.
In the field of Remote sensing, his study on Radiometer overlaps with subjects such as Polar.
In his research on the topic of Brightness temperature, Latitude, Atmospheric temperature and Equator is strongly related with Depth sounding.
His Data assimilation research incorporates themes from Applied mathematics, Satellite data and Precipitation.
Between 2017 and 2021, his most popular works were:
- Capturing Size and Intensity Changes of Hurricanes Irma and Maria (2017) from Polar-Orbiting Satellite Microwave Radiometers (13 citations)
- Hurricane Warm‐Core Retrievals from AMSU‐A and Remapped ATMS Measurements with Rain Contamination Eliminated (10 citations)
- An Alternative Bias Correction Scheme for CrIS Data Assimilation in a Regional Model (9 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Optics
The scientist’s investigation covers issues in Environmental science, Remote sensing, Meteorology, Convection and Polar.
In general Remote sensing study, his work on Radiometer often relates to the realm of Data selection, thereby connecting several areas of interest.
His study in the field of Data assimilation and Troposphere is also linked to topics like Radio occultation.
His Data assimilation research is multidisciplinary, incorporating perspectives in Regional model, Measurement uncertainty, Bias correction and Radiance.
The Convection study combines topics in areas such as Climatology, Nowcasting, Rotational symmetry and Vortex.
His studies in Brightness temperature integrate themes in fields like Local time, Depth sounding and Noise.
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