What is he best known for?
The fields of study he is best known for:
- Meteorology
- Statistics
- Tropical cyclone
His primary scientific interests are in Meteorology, Data assimilation, Thunderstorm, Storm and Microphysics.
His Meteorology study frequently draws connections to adjacent fields such as Remote sensing.
His biological study spans a wide range of topics, including Storm-scale, Kalman filter and Doppler radar.
The study incorporates disciplines such as Variational assimilation and Mesoscale convective system in addition to Tornado.
His work deals with themes such as Ensemble forecasting, Forecast skill, Severe weather and Boundary layer, which intersect with Weather Research and Forecasting Model.
His studies in Climatology integrate themes in fields like Convection, Atmospheric sciences, Precipitation, Air quality index and Planetary boundary layer.
His most cited work include:
- The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification (826 citations)
- The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation (365 citations)
- Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments (299 citations)
What are the main themes of his work throughout his whole career to date?
Meteorology, Climatology, Data assimilation, Precipitation and Storm are his primary areas of study.
In his research on the topic of Meteorology, Interpolation is strongly related with Ensemble Kalman filter.
His Climatology research is multidisciplinary, incorporating elements of Ensemble forecasting and Convection.
Ming Xue focuses mostly in the field of Data assimilation, narrowing it down to matters related to Remote sensing and, in some cases, Weather radar.
The concepts of his Tornado study are interwoven with issues in Tornado vortex signature, Vortex, Thunderstorm and Mesoscale convective system.
His Microphysics study combines topics from a wide range of disciplines, such as Graupel and Moment.
He most often published in these fields:
- Meteorology (69.09%)
- Climatology (37.92%)
- Data assimilation (28.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Meteorology (69.09%)
- Convection (21.82%)
- Precipitation (27.79%)
In recent papers he was focusing on the following fields of study:
Ming Xue focuses on Meteorology, Convection, Precipitation, Data assimilation and Weather Research and Forecasting Model.
Meteorology is closely attributed to Ensemble Kalman filter in his study.
His study in Convection is interdisciplinary in nature, drawing from both Testbed, Weather forecasting, Outflow and Mesoscale meteorology.
His research in Precipitation tackles topics such as Diurnal temperature variation which are related to areas like Climatology.
His Data assimilation research is multidisciplinary, incorporating perspectives in Humidity, Radar reflectivity, Squall line and Southern china.
His Weather Research and Forecasting Model research incorporates elements of Percentile, Statistics, Forecast skill, Grid and Orographic lift.
Between 2018 and 2021, his most popular works were:
- What Is the Main Cause of Diurnal Variation and Nocturnal Peak of Summer Precipitation in Sichuan Basin, China? The Key Role of Boundary Layer Low‐Level Jet Inertial Oscillations (21 citations)
- What Is the Main Cause of Diurnal Variation and Nocturnal Peak of Summer Precipitation in Sichuan Basin, China? The Key Role of Boundary Layer Low‐Level Jet Inertial Oscillations (21 citations)
- Current Status and Future Challenges of Weather Radar Polarimetry: Bridging the Gap between Radar Meteorology/Hydrology/Engineering and Numerical Weather Prediction (16 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Tropical cyclone
Ming Xue mainly investigates Meteorology, Data assimilation, Diurnal temperature variation, Precipitation and Convection.
Many of his studies on Meteorology involve topics that are commonly interrelated, such as Radar observations.
His research integrates issues of Radar reflectivity, Ensemble Kalman filter, Current, Mathematical model and Remote sensing in his study of Data assimilation.
He combines subjects such as Wind speed, Climatology and Low level jet with his study of Diurnal temperature variation.
While the research belongs to areas of Convection, Ming Xue spends his time largely on the problem of Testbed, intersecting his research to questions surrounding Storm, Hydrometeorology and Quantitative precipitation forecast.
Within one scientific family, Ming Xue focuses on topics pertaining to Microphysics under Convective storm detection, and may sometimes address concerns connected to Thunderstorm.
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