首页> 外文期刊>Atmospheric chemistry and physics >Introduction of prognostic rain in ECHAM5: design and single column model simulations
【24h】

Introduction of prognostic rain in ECHAM5: design and single column model simulations

机译:ECHAM5中预测性降雨的介绍:设计和单列模型模拟

获取原文
       

摘要

Prognostic equations for the rain mass mixing ratio and the rain drop number concentration are introduced into the large-scale cloud microphysics parameterization of the ECHAM5 general circulation model (ECHAM5-PROG). To this end, a rain flux from one level to the next with the appropriate fall speed is introduced. This maintains rain water in the atmosphere to be available for the next time step. Rain formation in ECHAM5-PROG is, therefore, less dependent on the autoconversion rate than the standard ECHAM5 but shifts the emphasis towards the accretion rates in accordance with observations. ECHAM5-PROG is tested and evaluated with Single Column Model (SCM) simulations for two cases: the marine stratocumulus study EPIC (October 2001) and the continental mid-latitude ARM Cloud IOP (shallow frontal cloud case – March 2000). In case of heavy precipitation events, the prognostic equations for rain hardly affect the amount and timing of precipitation at the surface in different SCM simulations because heavy rain depends mainly on the large-scale forcing. In case of thin, drizzling clouds (i.e., stratocumulus), surface precipitation is sensitive to the number of sub-time steps used in the prognostic rain scheme. Cloud microphysical quantities, such as cloud liquid and rain water within the atmosphere, are sensitive to the number of sub-time steps in both considered cases. This results from the decreasing autoconversion rate and increasing accretion rate.
机译:将雨量混合比和雨滴数浓度的预测方程式引入ECHAM5普通环流模型(ECHAM5-PROG)的大规模云微物理参数化。为此,引入了以适当的下降速度从一个水位到另一个水位的雨水通量。这样可以保持大气中的雨水可用于下一步。因此,与标准ECHAM5相比,ECHAM5-PROG中的降雨形成对自动转换率的依赖性较小,但根据观察结果,重点转向了吸积率。使用单列模型(SCM)模拟对ECHAM5-PROG进行了两种情况的测试和评估:海洋层积云研究EPIC(2001年10月)和大陆中纬度ARM Cloud IOP(浅额云案例– 2000年3月)。在发生大降水事件的情况下,在不同的SCM模拟中,降雨的预后方程式几乎不会影响地面降水的数量和时间,因为大降雨主要取决于大规模强迫。在薄而细雨的云层(即层积云)的情况下,地表降水对预后降雨方案中使用的亚时间步数很敏感。在两种考虑的情况下,云中的微物理量(例如大气中的云液体和雨水)都对子时间步长的数量敏感。这是由于降低的自动转换率和增加的吸积率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号