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machine learningaviation weatherPure and Applied Geophysics - This article evaluates the traditional in-flight turbulence forecast tool for mountainous regions known as Harrison's Abacus and proposes a set of models based on...doi:10.1007/s00024-022-03053-5Menegardo-Souza, Filipe...
In autumn, atmospheric turbulence activities will intensify with the increase of air temperature, which will dilute and diffuse pollutants in the vertical direction of the lower layer, and further lead to the decrease of AQI. While rises in temperature can cause the temperature inversion phenomenon ...
A main problem is that turbulence is a phenomenon with a short spatial and temporal range. It is impossible to forecast the fluctuation of atmosphere from the output of numerical prediction models and turbulence observations because of their coarseness and inadequacy. Fortunately, the turbulent kinetic...
The forecast is that by 2050 the urban population will reach 70% of the total population (UNO, 2018). But these processes not only increase the LST on their own but also generate an increase in greenhouse gas emissions (Blessy et al., 2023) due to the industrial construction and ...
Your destination is severe clear, and forecast to stay that way until tomorrow morning. Decision time The radar image looks ugly, but almost everything else looks great. There seems to be no ice, turbulence, or IFR ceilings along your entire route. There might be some rain, but it does ...
10.12 Application and Verification of Clear-Air Turbulence (CAT) Forecast Indices in Korea (2002 - 13ac10av_10aram)Application and Verification of ClearAir Turbulence (CAT) Forecast Indices in Korea ( acavaram)
Met-Data is also known as weather data. More advanced air quality models like CALPUFF and CALMET predict temperature, wind, and turbulence fields spatially and temporally. CALMET inputs selected from mesoscale meteorological models like MM5 should contain the needed wind and temperature profile informat...
(2006). World map of the Köppen-Geiger climate classification updated. National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. (2015). NCEP GDAS/FNL 0.25 degree global tropospheric analyses and forecast grids (updated daily) [Dataset]. Research ...
While in a cyclonic convective boundary layer, air quality is influenced by the dispersion/transport processes of air pollutants due to wind shears and convective turbulence, in an anticyclonic stable boundary layer, with potential temperature inversions, vertical mixing is weak, which leads to the ...