论文标题

气候变化对天文观测的影响

The impact of climate change on astronomical observations

论文作者

Cantalloube, Faustine, Milli, Julien, Böhm, Christoph, Crewell, Susanne, Navarrete, Julio, Rehfeld, Kira, Sarazin, Marc, Sommani, Anna

论文摘要

气候变化正在影响,并将越来越多地影响天文观察。在本文中,我们调查了一些关键天气参数在天文观测质量中起着作用,并分析了它们的长期趋势(超过30年),以掌握气候变化对当前和未来观察的影响。在这项初步研究中,我们专门分析了四个参数,温度,表面层湍流,喷头层的风速和湿度。该分析是由来自欧洲南部天文台(ESO)运营的非常大的望远镜(VLT)的数据,该数据位于智利阿塔卡马沙漠的Cerro Paranal,这是地球上最干燥的地方之一。为了完成来自Paranal安装的各种传感器的数据,我们使用了第五代和20世纪的欧洲中心中型天气预报(ECMWF)全球气候的大气再分析,ERE5(从1980年到现在)和ERA20C(从1900年到2010年),我们在帕马纳尔opveratory opvatoration的位置进行了插入。此外,在最严重的气候变化共享社会经济途径(SSP5-8.5)方案下,我们还使用了耦合模型对比项目6(CMIP6)多模型集合进行了耦合模型对阶段6(CMIP6)多模型集合的探索气候预测。需要进一步研究以更好地了解变化的潜在机制,并评估影响的严重性。

Climate change is affecting and will increasingly affect astronomical observations. In this paper, we investigated the role some key weather parameters play in the quality of astronomical observations, and analysed their long-term trends (longer than 30 years) in order to grasp the impact of climate change on current and future observations. In this preliminary study, we specifically analysed four parameters, the temperature, the surface layer turbulence, the wind speed at the jetstream layer and the humidity. The analyses is conducted with data from the Very Large Telescope (VLT), operated by the European Southern Observatory (ESO), located at Cerro Paranal in the Atacama desert, Chile, which is one of the driest places on Earth. To complete the data from the various sensors installed at Paranal, we used the fifth generation and 20th century European Centre Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate, ERA5 (from 1980 to now) and ERA20C (from 1900 to 2010), which we interpolated at the Paranal observatory location. In addition, we also explored climate projections in this region, using the Coupled Model Intercomparison Project Phase 6 (CMIP6) multi-model ensemble, under the worst-case climate change Shared Socio-Economic Pathways (SSP5-8.5) scenario. Further investigation is needed to better understand the underlying mechanisms of change, as well as to assess the severity of the impact.

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