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A mass-flux cumulus parameterization scheme for large-scale models: description and test with observations

机译:大规模模型的质量通量累积参数化方案:描述和带观测的测试

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A simple mass-flux cumulus parameterization scheme suitable for large-scale atmospheric models is presented. The scheme is based on a bulk-cloud approach and has the following properties: (1) Deep convection is launched at the level of maximum moist static energy above the top of the boundary layer. It is triggered if there is positive convective available potential energy (CAPE) and relative humidity of the air at the lifting level of convection cloud is greater than 75%; (2) Convective updrafts for mass, dry static energy, moisture, cloud liquid water and momentum are parameterized by a one-dimensional entrainment/ detrainment bulk-cloud model. The lateral entrainment of the environmental air into the unstable ascending parcel before it rises to the lifting condensation level is considered. The entrainment/detrainment amount for the updraft cloud parcel is separately determined according to the increase/ decrease of updraft parcel mass with altitude, and the mass change for the adiabatic ascent cloud parcel with altitude is derived from a total energy conservation equation of the whole adiabatic system in which involves the updraft cloud parcel and the environment; (3) The convective downdraft is assumed saturated and originated from the level of minimum environmental saturated equivalent potential temperature within the updraft cloud; (4) The mass flux at the base of convective cloud is determined by a closure scheme suggested by Zhang (J Geophys Res 107(D14), doi:10.1029/ 2001JD001005, 2002) in which the increase/decrease of CAPE due to changes of the thermodynamic states in the free troposphere resulting from convection approximately balances the decrease/increase resulting from large-scale processes. Evaluation of the proposed convection scheme is performed by using a single column model (SCM) forced by the Atmospheric Radiation Measurement Program's (ARM) summer 1995 and 1997 Intensive Observing Period (IOP) observations, and field observations from the Global Atmospheric Research Program's Atlantic Tropical Experiment (GATE) and the Tropical Ocean and Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE). The SCM can generally capture the convective events and produce a realistic timing of most events of intense precipitation although there are some biases in the strength of simulated precipitation.
机译:提出了一种适用于大规模大气模型的简单的质量通量累积参数化方案。该方案基于体云方法,并具有以下特性:(1)深对流在边界层顶部上方最大湿静态能量的水平上发起。如果对流可用势能(CAPE)为正,且在对流云抬升水平时空气的相对湿度大于75%,则会触发该事件; (2)通过一维夹带/夹杂散云模型对质量,干静态能量,水分,云液态水和动量的对流上升气流进行参数化。考虑到环境空气在上升到冷凝凝结液位之前横向进入不稳定的上升包裹。根据上升气流包裹质量随高度的增加/减少,分别确定上升气流包裹的夹带/减少量,并根据整个绝热的总能量守恒方程推导出绝热上升云彩包裹的质量随高度的变化。涉及上升气流云包和环境的系统; (3)假设对流下行气流是饱和的,并且源自上行气流中最小环境饱和等效电位温度的水平; (4)对流云底部的质量通量是由Zhang(J Geophys Res 107(D14),doi:10.1029 / 2001JD001005,2002)建议的封闭方案确定的,其中CAPE的增加/减少是由于对流产生的自由对流层中的热力学状态大致平衡了大规模过程产生的减少/增加。对流方案的评估是通过使用1995年夏季和1997年夏季大气辐射测量计划(ARM)的密集观测期(IOP)观测值以及全球大气研究计划的大西洋热带地区观测值进行实测的单列模型(SCM)进行的实验(GATE)和热带海洋与​​全球大气耦合海洋-大气响应实验(TOGA COARE)。尽管模拟降水强度存在一些偏差,但SCM通常可以捕获对流事件并生成大多数强降水事件的现实时机。

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