What is he best known for?
The fields of study he is best known for:
- Meteorology
- Tropical cyclone
- Statistics
Fuqing Zhang mainly investigates Meteorology, Climatology, Data assimilation, Ensemble Kalman filter and Mesoscale meteorology.
The concepts of his Meteorology study are interwoven with issues in Depth sounding, Doppler radar and Cyclogenesis.
The Tropical cyclone research Fuqing Zhang does as part of his general Climatology study is frequently linked to other disciplines of science, such as Plateau, therefore creating a link between diverse domains of science.
While the research belongs to areas of Data assimilation, Fuqing Zhang spends his time largely on the problem of Minification, intersecting his research to questions surrounding Multivariate statistics, Covariance matrix, Trajectory, Basis and Ensemble forecasting.
His Ensemble Kalman filter study integrates concerns from other disciplines, such as Storm-scale, Covariance and Supercell.
Fuqing Zhang combines subjects such as Baroclinity and Predictability with his study of Mesoscale meteorology.
His most cited work include:
- Evaluation of Three Planetary Boundary Layer Schemes in the WRF Model (464 citations)
- Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter (369 citations)
- Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter (362 citations)
What are the main themes of his work throughout his whole career to date?
Fuqing Zhang mainly focuses on Meteorology, Climatology, Tropical cyclone, Data assimilation and Atmospheric sciences.
Fuqing Zhang has researched Meteorology in several fields, including Doppler radar and Ensemble Kalman filter.
His Climatology research incorporates elements of Madden–Julian oscillation, Convection, Predictability and Precipitation.
His Tropical cyclone research includes themes of Typhoon, Wind shear and Intensity.
His Data assimilation research is multidisciplinary, incorporating perspectives in Kalman filter, Remote sensing and Numerical weather prediction.
His research in Mesoscale meteorology intersects with topics in Gravity wave and Baroclinity.
He most often published in these fields:
- Meteorology (45.48%)
- Climatology (43.61%)
- Tropical cyclone (27.41%)
What were the highlights of his more recent work (between 2018-2021)?
- Meteorology (45.48%)
- Climatology (43.61%)
- Tropical cyclone (27.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Meteorology, Climatology, Tropical cyclone, Atmospheric sciences and Convection.
His study on Meteorology is mostly dedicated to connecting different topics, such as Predictability.
His studies in Climatology integrate themes in fields like Madden–Julian oscillation, Wind speed and Data assimilation.
The Tropical cyclone study combines topics in areas such as Intensity, Surface, Shortwave radiation and Convective precipitation.
His Atmospheric sciences study combines topics in areas such as Planetary boundary layer, Longwave radiation, Precipitation and Sensitivity.
His Convection research incorporates themes from Parametrization and Geophysics.
Between 2018 and 2021, his most popular works were:
- What Is the Predictability Limit of Midlatitude Weather (56 citations)
- Advances in weather prediction (38 citations)
- Is Precipitation a Good Metric for Model Performance (29 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Tropical cyclone
Fuqing Zhang mostly deals with Climatology, Meteorology, Atmospheric sciences, Convection and Sky.
His Climatology study frequently links to adjacent areas such as Predictability.
Fuqing Zhang has included themes like Geopotential and Metric in his Meteorology study.
His research integrates issues of Planetary boundary layer, Inversion and Atmospheric model in his study of Atmospheric sciences.
His research investigates the connection between Convection and topics such as Geophysics that intersect with issues in Southern china, Mode and Mesoscale meteorology.
In his study, Data assimilation is strongly linked to Thunderstorm, which falls under the umbrella field of Sky.
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