Reprint
Atmospheric Boundary Layer Processes, Characteristics and Parameterization
Edited by
October 2023
222 pages
- ISBN978-3-0365-7430-1 (Hardback)
- ISBN978-3-0365-7431-8 (PDF)
This book is a reprint of the Special Issue Atmospheric Boundary Layer Processes, Characteristics and Parameterization that was published in
Chemistry & Materials Science
Environmental & Earth Sciences
Summary
This reprint focuses on the variation characteristics, dynamical processes, and their parameterization methods in the atmospheric boundary layer. The atmospheric boundary layer is of great importance in affecting the weather, air quality, and climate change. This reprint reports new observation findings of the atmospheric boundary layer over underlying surfaces of megacity, desert, and ocean, and also presents new methods of atmospheric boundary layer parameterization and modelling.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
drag coefficient; wind speed; aircraft turbulent measurements; saturated wind speed; air-sea turbulent heat fluxes; tidal processes; wind stress; boundary layer stability; platform observations; dropsonde; drag coefficient; wind speed; friction velocity; radial position; MJO; rainfall; diurnal variation; land–sea circulation; gravity wave; turbulence length scale; turbulence parameterization; evaluation; large eddy simulation; atmospheric boundary layer height; horizontal homogeneity; elastic lidar; biomass burning; turbulent momentum flux; tropical cyclones boundary layer; eddy diffusivity of momentum; eddy diffusivity of heat; vertical mixing length; three-layer deposition model; dry deposition velocity; Brownian diffusion; Eddy diffusion; gravitational settling; concentration boundary layer thickness; parameterization; numerical calculation time; global models; friction velocity; Large Eddy Simulation; convective boundary layer; Power Spectrum Density; wind shear; spatial variation; horizontal fields of velocity; velocity variance; turbulent flux; CO2 flux; SiB2 model; RF algorithm; wheat field; machine learning model; air–sea flux parameterization; Typhoon Mangkhut; intensification period; tropical cyclone; isftcflx option; aeolian saltation; Gobi sand flow; wind erosion; impact erosion; erosion rate; n/a