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arXiv 1602.06397physics.ao-ph
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与平流层臭氧观测不一致的高太阳周期光谱变化

High solar cycle spectral variations inconsistent with stratospheric ozone observations

W. T. Ball, J. D. Haigh, E. V. Rozanov, A. Kuchar, T. Sukhodolov, F. Tummon, A. V. Shapiro, W. Schmutz

摘要:

气候的一些自然变化被认为是来自太阳的变化。太阳可能影响地面气候的一个关键途径始于热带平流层,臭氧吸收太阳紫外线辐射,导致温度和风结构的改变,从而通过波传播和环流的变化影响到地面。虽然总的、光谱综合的太阳辐照度的变化导致全球平均地面温度的微小变化,但“自上而下”的紫外线效应优先影响中高纬度地区的区域尺度,特别是北大西洋涛动中注意到的太阳信号。紫外线变化的幅度是确定气候响应幅度的根本,但最近太阳辐射和气候实验卫星的测量结果对紫外线变化的理解提出了挑战,这些测量结果显示紫外线太阳周期的变化比以前认为的大10倍。事实上,使用这些较大的紫外线变化的气候模式显示出更大的响应,类似于NAO观测。在这里,我们提出的臭氧太阳周期响应的估计使用的化学-气候模式(CCM),其中运输的影响受到观测的约束。因此,光解响应不同光谱太阳辐照度(SSI)数据集可以被隔离。从观测数据集提取的臭氧中的太阳信号的结果进行比较,产生显着的可辨别的响应。根据我们的评估SORCE紫外数据集是不一致的观测臭氧的反应,而早期的卫星数据集,并从经验的太阳能模型的紫外线数据所建议的较小的变化,与测量的平流层变化更接近。确定最合适的SSI可变性应用于模型.

英文摘要:

Some of the natural variability in climate is understood to come from changes in the Sun. A key route whereby the Sun may influence surface climate is initiated in the tropical stratosphere by the absorption of solar ultraviolet (UV) radiation by ozone, leading to a modification of the temperature and wind structures and consequently to the surface through changes in wave propagation and circulation. While changes in total, spectrally-integrated, solar irradiance lead to small variations in global mean surface temperature, the `top-down' UV effect preferentially influences on regional scales at mid-to-high latitudes with, in particular, a solar signal noted in the North Atlantic Oscillation (NAO). The amplitude of the UV variability is fundamental in determining the magnitude of the climate response but understanding of the UV variations has been challenged recently by measurements from the SOlar Radiation and Climate Experiment (SORCE) satellite, which show UV solar cycle changes up to 10 times larger than previously thought. Indeed, climate models using these larger UV variations show a much greater response, similar to NAO observations. Here we present estimates of the ozone solar cycle response using a chemistry-climate model (CCM) in which the effects of transport are constrained by observations. Thus the photolytic response to different spectral solar irradiance (SSI) datasets can be isolated. Comparison of the results with the solar signal in ozone extracted from observational datasets yields significantly discriminable responses. According to our evaluation the SORCE UV dataset is not consistent with the observed ozone response whereas the smaller variations suggested by earlier satellite datasets, and by UV data from empirical solar models, are in closer agreement with the measured stratospheric variations. Determining the most appropriate SSI variability to apply in models...

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