نتایج جستجو برای: cumulus parameterization scheme and kian
تعداد نتایج: 16853537 فیلتر نتایج به سال:
Implementation of the Probabilistic CuP Cumulus Parameterization in WRF William I. Gustafson Jr. and Larry K. Berg Atmospheric Science and Global Change Division Pacific Northwest National Laboratory, Richland, WA
Tropical intraseasonal variability is examined in version 3 of the Geophysical Fluid Dynamics Laboratory AtmosphereModel (AM3). In contrast to its predecessor AM2, AM3 uses a new treatment of deep and shallow cumulus convection and mesoscale clouds. The AM3 cumulus parameterization is a massflux-based scheme but also, unlike that in AM2, incorporates subgrid-scale vertical velocities; these pla...
The impact of anthropogenic absorbing aerosols (such as soot) on the climate over the Indian region has been studied using the NCMRWF general circulation model. The absorbing aerosols increase shortwave radiative heating of the lower troposphere and reduce the heating at the surface. These effects have been incorporated as heating of the lower troposphere (up to 700 hPa) and cooling over the co...
cumulus parameterization in numerical weather prediction models can significantly affect severe weather forecasts, such as hurricanes, flash floods, and winter storms. the role of convection is essential in stabilizing an unstable atmosphere through vertically transferring moisture, energy, chemical species and momentum. cumulus parameterization schemes use simple one-dimensional convective clo...
Abstract. Different entrainment–mixing processes can occur in clouds; however, a homogeneous mixing mechanism is often implicitly assumed most commonly used microphysics schemes. Here, we first present new parameterization that uses the grid mean relative humidity without requiring of entrained air. Then, implemented scheme large eddy simulation model, and sensitivity experiments are conducted ...
The Geophysical Fluid Dynamics Laboratory (GFDL) Hurricane Prediction System was adopted by the U.S. National Weather Service as an operational hurricane prediction model in the 1995 hurricane season. The framework of the prediction model is described with emphasis on its unique features. The model uses a multiply nested movable mesh system to depict the interior structure of tropical cyclones....
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