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Titlebook: Boundary Layer Studies and Applications; A Special Issue of B R. E. Munn Book 1989 Kluwer Academic Publishers 1989 Meteorology.Scale.Wind s

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https://doi.org/10.1007/978-3-642-84857-5turbulence. In Section 3 it is shown that the correlation equations of Section 2 agree satisfactorily with some recent measurements of the longitudinal correlation functions in the range of distances from 3 m to 100 m. Some measurements of the lateral correlation functions of atmospheric turbulence
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Low-Dimensional Functional Materialslation results in less bias than a constant one. For the ship synoptic data available via GTS for the North Atlantic Ocean, spatial resolution, as expressed by an equivalent filter half-width, is 220 km, considerably improved compared to typical data assimilation schemes used in numerical forecast m
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https://doi.org/10.1007/978-94-007-6618-1rease at high wind speeds, but no direct observations of this are found. Recently it has become possible to estimate water vapor flux in tropical regions from satellite data, opening the possiblity of studying large-scale evaporative events as a function of both time and space.
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Water Vapor Flux at the Sea Surface,rease at high wind speeds, but no direct observations of this are found. Recently it has become possible to estimate water vapor flux in tropical regions from satellite data, opening the possiblity of studying large-scale evaporative events as a function of both time and space.
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Velocity and Temperature Spectra and Cospectra in an Unstable Suburban Atmosphere,lux cospectra are in good agreement with reference data from smoother surfaces. Recommendations are made concerning site requirements, height of measurement and averaging times for the study of turbulence and turbulent fluxes over suburban terrain.
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Springer Series in Solid-State Sciencesatmospheric data summarized by Jackson (1976) as well as neutral-stratification data presented by Peterson .. (1979) and new data measured at Cherrywood, Ontario. It is found that the Panofsky-Dutton formulation gives the least root-mean-square (RMS) absolute errors for atmospheric applications.
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,Internal Boundary-Layer Height Formulae — A Comparison with Atmospheric Data,atmospheric data summarized by Jackson (1976) as well as neutral-stratification data presented by Peterson .. (1979) and new data measured at Cherrywood, Ontario. It is found that the Panofsky-Dutton formulation gives the least root-mean-square (RMS) absolute errors for atmospheric applications.
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