Shallow Convection Datasets Simulated by Different Large Eddy Models

The datasets contain four shallow convection cases (RICO, BOMEX, ATEX, and ARM-SGP) simulated by three large eddy models (SAM, WRF, UCLA-LES). For each convection case, there are nineteen two-dimensional variables, including winds, temperature, and humidity. Three types of plumes are provided, i.e., convective core refers to rising plumes that have positive buoyancy and contain condensed water, and convective updraft defined as plumes containing liquid water and upward vertical velocity, and cloud defined as grid points containing liquid water. Conditionally sampled variables such as in-cloud temperature, moisture and vertical velocity are also provided, which are indispensable for calculating entrainment rate. These datasets will be used as a reference to help users verify and improve parameterization schemes of shallow convection. Table 2 List of the LES output variables Variable Long name Unit U Zonal wind m/s V Meridional wind m/s W Vertical velocity m/s W2 Variance of vertical velocity m2/s2 QT Total water g/kg QV Water vapor g/kg QC Cloud condensate g/kg P Pressure hPa Z Height m A_cor Core fraction 100% A_upd Updraft fraction 100% A_cld Cloud fraction 100% QT_cor Mean qt in core g/kg QT_upd Mean qt in updraft g/kg QT_cld Mean qt in cloud g/kg W_cor Mean w in core m/s W_upd Mean w in updraft m/s W_cld Mean w in cloud m/s QTFLUX Total water flux W/m2

搜集汇总

背景与挑战

背景概述

该数据集包含由三种大涡模型（SAM、WRF、UCLA-LES）模拟的四个浅对流案例（RICO、BOMEX、ATEX、ARM-SGP），每个案例提供19个二维变量，包括风、温度和湿度。数据集还涵盖三种羽流类型和条件采样变量，主要用于验证和改进浅对流参数化方案。