4.4 Article

Self-Stratification of Tropical Cyclone Outflow. Part I: Implications for Storm Structure

期刊

JOURNAL OF THE ATMOSPHERIC SCIENCES
卷 68, 期 10, 页码 2236-2249

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JAS-D-10-05024.1

关键词

-

资金

  1. National Science Foundation [0850639]
  2. Directorate For Geosciences
  3. Div Atmospheric & Geospace Sciences [0850639] Funding Source: National Science Foundation

向作者/读者索取更多资源

Extant theoretical work on the steady-state structure and intensity of idealized axisymmetric tropical cyclones relies on the assumption that isentropic surfaces in the storm outflow match those of the unperturbed environment at large distances from the storm's core. These isentropic surfaces generally lie just above the tropopause, where the vertical temperature structure is approximately isothermal, so it has been assumed that the absolute temperature of the outflow is nearly constant. Here it is shown that this assumption is not justified, at least when applied to storms simulated by a convection-resolving axisymmetric numerical model in which much of the outflow occurs below the ambient tropopause and develops its own stratification, unrelated to that of the unperturbed environment. The authors propose that this stratification is set in the storm's core by the requirement that the Richardson number remain near its critical value for the onset of small-scale turbulence. This ansatz is tested by calculating the Richardson number in numerically simulated storms, and then, showing that the assumption of constant Richardson number determines the variation of the outflow temperature with angular momentum or entropy, thereby sets the low-level radial structure of the storm outside its radius of maximum surface winds. Part II will show that allowing the outflow temperature to vary also allows one to discard an empirical factor that was introduced in previous work on the intensification of tropical cyclones.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据