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Simulation of convective moistening of the extratropical lower stratosphere using a numerical weather prediction model

机译:使用数值天气预报模型模拟卓抗较低平流层的对流湿化

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Stratospheric water vapour (SWV) is a climatically important atmospheric constituent due to its impacts on the radiation budget and atmospheric chemical composition. Despite the important role of SWV in the climate system, the processes controlling the distribution and variation in water vapour in the upper troposphere and lower stratosphere (UTLS) are not well understood. In order to better understand the mechanism of transport of water vapour through the tropopause, this study uses the high-resolution Global Environmental Multiscale model of the Environment and Climate Change Canada to simulate a lower stratosphere moistening event over North America. Satellite remote sensing and aircraft in situ observations are used to evaluate the quality of model simulation. The main focus of this study is to evaluate the processes that influence the lower stratosphere water vapour budget, particularly the direct water vapour transport and the moistening due to the ice sublimation. In the high-resolution simulations with horizontal grid spacing of less than 2.5km, it is found that the main contribution to lower stratospheric moistening is the upward transport caused by the breaking of gravity waves. In contrast, for the lower-resolution simulation with horizontal grid spacing of 10km, the lower stratospheric moistening is dominated by the sublimation of ice. In comparison with the aircraft in situ observations, the high-resolution simulations predict the water vapour content in the UTLS well, while the lower-resolution simulation overestimates the water vapour content. This overestimation is associated with the overly abundant ice in the UTLS along with a sublimation rate that is too high in the lower stratosphere. The results of this study affirm the strong influence of overshooting convection on the lower stratospheric water vapour and highlight the importance of both dynamics and microphysics in simulating the water vapour distribution in the UTLS region.
机译:平流层水蒸气(SWV)是一种气候性重要的大气成分,由于其对辐射预算和大气化学成分的影响。尽管SWV在气候系统中具有重要作用,但控制上层对流层和较低平流层(UTLS)中水蒸气分布和变化的过程尚不清楚。为了更好地了解水蒸气通过对流定位的运输机制,本研究利用加拿大的环境和气候变化的高分辨率全球环境多尺度模型,模拟北美的较低的平流层润湿事件。卫星遥感和飞机的原位观察用于评估模型模拟的质量。本研究的主要重点是评估影响较低平流层水蒸汽预算的过程,特别是由于冰升华引起的直接水蒸气输送和润湿。在高于2.5km的水平网格间距的高分辨率模拟中,发现对较低的划分润湿的主要贡献是由突破重力波引起的向上运输。相比之下,对于具有10km的水平网格间距的较低分辨率模拟,较低的平坦润湿是由冰升冰的主导。与飞机的原位观察相比,高分辨率模拟预测UTLS中的水蒸气含量良好,而下分辨率模拟高估水蒸气含量。这种高估与UTL中的过度丰富的冰相关联,以及升华率在较低平流层中过高。本研究的结果确认了超越对流对较低的平流层水蒸气影响的强烈影响,并突出了动态和微物质学在模拟UTLS区域的水蒸气分布方面的重要性。

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