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首页> 外文期刊>Icarus: International Journal of Solar System Studies >Numerical simulations of Jupiter's moist convection layer: Structure and dynamics in statistically steady states
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Numerical simulations of Jupiter's moist convection layer: Structure and dynamics in statistically steady states

机译:木星湿对流层的数值模拟:统计稳态下的结构和动力学

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A series of long-term numerical simulations of moist convection in Jupiter's atmosphere is performed in order to investigate the idealized characteristics of the vertical structure of multi-composition clouds and the convective motions associated with them, varying the deep abundances of condensable gases and the autoconversion time scale, the latter being one of the most questionable parameters in cloud microphysical parameterization. The simulations are conducted using a two-dimensional cloud resolving model that explicitly represents the convective motion and microphysics of the three cloud components, H_2O, NH3, and NH4SH imposing a body cooling that substitutes the net radiative cooling. The results are qualitatively similar to those reported in Sugiyama et al. (Sugiyama, K. et al. [2011]. Intermittent cumulonimbus activity breaking the three-layer cloud structure of Jupiter. Geophys. Res. Lett. 38, L13201. doi:10.1029/2011GL047878): stable layers associated with condensation and chemical reaction act as effective dynamical and compositional boundaries, intense cumulonimbus clouds develop with distinct temporal intermittency, and the active transport associated with these clouds results in the establishment of mean vertical profiles of condensates and condensable gases that are distinctly different from the hitherto accepted three-layered structure (e.g., Atreya, S.K., Romani, P.N. [1985]. Photochemistry and clouds of Jupiter, Saturn and Uranus. In: Recent Advances in Planetary Meteorology. Cambridge Univ. Press, London, pp. 17-68). Our results also demonstrate that the period of intermittent cloud activity is roughly proportional to the deep abundance of H_2O gas. The autoconversion time scale does not strongly affect the results, except for the vertical profiles of the condensates. Changing the autoconversion time scale by a factor of 100 changes the intermittency period by a factor of less than two, although it causes a dramatic increase in the amount of condensates in the upper troposphere. The moist convection layer becomes potentially unstable with respect to an air parcel rising from below the H_2O lifting condensation level (LCL) well before the development of cumulonimbus clouds. The instability accumulates until an appropriate trigger is provided by the H_2O condensate that falls down through the H_2O LCL; the H_2O condensate drives a downward flow below the H_2O LCL as a result of the latent cooling associated with the re-evaporation of the condensate, and the returning updrafts carry moist air from below to the moist convection layer. Active cloud development is terminated when the instability is completely exhausted. The period of intermittency is roughly equal to the time obtained by dividing the mean temperature increase, which is caused by active cumulonimbus development, by the body cooling rate.
机译:为了研究多成分云垂直结构的理想化特性以及与之相关的对流运动,改变可凝性气体的深丰度和自动转换,进行了一系列在木星大气中的长期对流数值模拟。时间尺度,后者是云微物理参数化中最可疑的参数之一。使用二维云解析模型进行模拟,该模型明确表示三个云成分H_2O,NH3和NH4SH的对流运动和微观物理学,其中施加了人体冷却来代替净辐射冷却。该结果在质量上与Sugiyama等人报道的相似。 (Sugiyama,K. et al。[2011]。间歇性积雨云活动破坏了木星的三层云结构。Geophys。Res。Lett。38,L13201。doi:10.1029 / 2011GL047878):与冷凝和化学反应有关的稳定层作为有效的动力学和成分边界,密集的积雨云发展成具有明显的时间间歇性,并且与这些云有关的主动输运导致建立了与迄今公认的三层结构明显不同的平均冷凝水和可冷凝气体垂直剖面(例如,Atreya,SK,Romani,PN [1985]。木星,土星和天王星的光化学和云。见:行星气象学的最新进展。剑桥大学出版社,伦敦,第17-68页)。我们的结果还表明,间歇性云活动的周期大致与H_2O气体的深丰度成正比。除冷凝物的垂直剖面外,自动转换时间比例不会对结果产生重大影响。将自动转换时间刻度更改为100倍,会使间歇期更改为小于2倍,尽管这会导致对流层上方凝结水的数量急剧增加。相对于在积雨云发展之前从H_2O提升凝结能级(LCL)之下上升的空气,湿对流层可能变得不稳定。这种不稳定性会不断累积,直到通过H_2O LCL下落的H_2O冷凝物提供适当的触发为止。 H_2O冷凝物由于与冷凝物再蒸发有关的潜在冷却作用而在H_2O LCL下方驱动向下流动,回流的上升气流将湿空气从下方带到湿对流层。当不稳定完全消除后,活动云开发就会终止。间歇期大致等于通过主动积雨形成的平均温度升高除以人体冷却速率所获得的时间。

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