Abstract:

This dataset contains the numerical data generated by the large-eddy simulations (LESs) of six well-documented deep and shallow convection cases: BOMEX, RICO, ASTEX, DYCOMS-II, TOGA-COARE, and GATE

Suggested Citation:

Ping Zhu. 2016. Large eddy simulation data of moist convection of atmosphere. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7B56GR5

Publications:

Zhu, P. (2015). On the Mass-Flux Representation of Vertical Transport in Moist Convection. Journal of the Atmospheric Sciences, 72(12), 4445–4468. doi:10.1175/jas-d-14-0332.1

Purpose:

The data are used to investigate to what extent that the convective fluxes formulated within the mass-flux framework can represent the total vertical transport of heat and moisture in the cloud layer and whether the same approach can be extended to represent the vertical momentum transport.

Data Parameters and Units:

Data files include horizontal and vertical grids in x,y,z (m), time (days), pressure (mb), 3D X,Y,Z wind components (m/s), Pressure Pertubation (Pa), Radiative heating rate (K/day), Absolute temperature (K), water vapor mixing ratio (g/kg), hydrometer mixing ratio (precipitating water - Rain+Snow, Non-precipitating condensate - Water+Ice) (g/kg)

Individual Files: