John D. Wilson mainly investigates Turbulence, Wind speed, Mechanics, Classical mechanics and Meteorology. His research in Turbulence intersects with topics in Particle and Probability density function. John D. Wilson has researched Wind speed in several fields, including Surface roughness, Atmosphere and Radius.
His work on Turbulence modeling as part of general Mechanics research is frequently linked to Variance and Trajectory analysis, bridging the gap between disciplines. His studies in Classical mechanics integrate themes in fields like Trajectory, Stratification and Settling. His studies deal with areas such as Stochastic modelling, Length scale and Atmospheric sciences as well as Meteorology.
Meteorology, Turbulence, Mechanics, Planetary boundary layer and Classical mechanics are his primary areas of study. His research integrates issues of Flow, Windbreak and Atmospheric sciences in his study of Meteorology. His Turbulence research includes themes of Dispersion, Probability density function and Computer simulation.
His Mechanics study incorporates themes from Settling and Dissipation. John D. Wilson has researched Classical mechanics in several fields, including Particle, Eddy diffusion and Stochastic modelling. The Wind speed study which covers Canopy that intersects with Length scale.
His primary areas of investigation include Materials science, Cyclotron, Meteorology, Atmospheric sciences and Dispersion. When carried out as part of a general Meteorology research project, his work on Trajectory is frequently linked to work in Cold weather, therefore connecting diverse disciplines of study. His work investigates the relationship between Trajectory and topics such as Scalar field that intersect with problems in Mechanics and Conditional expectation.
His Atmospheric sciences study combines topics in areas such as Agronomy, Crop, Windbreak, Turbulence modeling and Spring. His Windbreak research focuses on Aerodynamics and how it connects with Anemometer and Wind speed. John D. Wilson has included themes like Eddy diffusion, Convection–diffusion equation, Plume and Statistical physics in his Dispersion study.
His primary areas of study are Meteorology, Dispersion, Monin–Obukhov similarity theory, Molybdate and Statistical physics. The Meteorology study combines topics in areas such as Atmospheric dispersion modeling and Mode. His research in Dispersion intersects with topics in Stochastic modelling, Convection–diffusion equation, Classical mechanics and Numerical weather prediction.
His research investigates the connection between Monin–Obukhov similarity theory and topics such as Basis that intersect with issues in Statistical dispersion, Inverse and Shear velocity. His Molybdate research incorporates elements of Pertechnetate, Radiochemistry, Elution and Extraction. The various areas that he examines in his Statistical physics study include Turbulence modeling, Eddy diffusion, Schmidt number and Limit.
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Review of Lagrangian Stochastic Models for Trajectories in the Turbulent Atmosphere
John D. Wilson;Brian L. Sawford.
Boundary-Layer Meteorology (1996)
Backward-Time Lagrangian Stochastic Dispersion Models and Their Application to Estimate Gaseous Emissions
Thomas K. Flesch;John D. Wilson;Eugene Yee.
Journal of Applied Meteorology (1995)
Deducing Ground-to-Air Emissions from Observed Trace Gas Concentrations: A Field Trial
T. K. Flesch;J. D. Wilson;L. A. Harper;B. P. Crenna.
Journal of Applied Meteorology (2004)
Numerical studies of flow through a windbreak
John D. Wilson.
Journal of Wind Engineering and Industrial Aerodynamics (1985)
A second-order closure model for flow through vegetation
J. D. Wilson.
Boundary-Layer Meteorology (1988)
Estimating gas emissions from a farm with an inverse-dispersion technique
Thomas K. Flesch;John D. Wilson;Lowry A. Harper;Brian P. Crenna.
Atmospheric Environment (2005)
Estimation of the rate of gaseous mass transfer from a surface source plot to the atmosphere
J.D. Wilson;G.W. Thurtell;G.E. Kidd;E.G. Beauchamp.
Atmospheric Environment (1982)
Determining ammonia emissions from a cattle feedlot with an inverse dispersion technique
T.K. Flesch;J.D. Wilson;L.A. Harper;R.W. Todd.
Agricultural and Forest Meteorology (2007)
Numerical simulation of particle trajectories in inhomogeneous turbulence, II: Systems with variable turbulent velocity scale
J. D. Wilson;G. W. Thurtell;G. E. Kidd.
Boundary-Layer Meteorology (1981)
Statistics of atmospheric turbulence within and above a corn canopy
J. D. Wilson;J. D. Wilson;D. P. Ward;G. W. Thurtell;G. E. Kidd.
Boundary-Layer Meteorology (1982)
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