论文标题

由于气候和化学的可变性,在氧化地球动物分类外行星的观察结果中

Variability due to climate and chemistry in observations of oxygenated Earth-analogue exoplanets

论文作者

Cooke, Gregory, Marsh, Dan, Walsh, Catherine, Rugheimer, Sarah, Villanueva, Geronimo

论文摘要

大氧化事件是一个时期,在此期间,地球的大气氧(O $ _2 $)的浓度从$ \ sim 10^{ - 5} $乘以其目前的大气水平(PAL)到接近现代水平,这标志着protererogiac Enogical EON EON 240亿年前的开始。使用WACCM6,一种地球系统模型,我们模拟了o $ _2 $混合比在0.1%至150%的PAL之间的地球动物系外行星的大气。使用这些模拟,我们使用行星光谱发生器在多个轨道上计算了反射/发射光谱。我们强调观察者角度,反照率,化学和云如何影响模拟观测值。我们表明,在我们的模拟气氛中,可以使用望远镜概念(例如luvoir或habex)观察到年际气候变化以及由于云而引起的短期变化。年度变异性和季节性变异性可以将地球反射的通量(包括关键光谱特征的反射通量(例如O $ _2 $和H $ _2 $ o)的反射通量),分别为5和20的因素,在相同的轨道阶段中。最好通过高通量冠冕观察到这种可变性。例如,带有星际的Habex(4 M)的性能是Luvoir B(6 m)样式望远镜的两倍。某些频谱特征的可变性和信噪比非线性取决于大气o $ _2 $浓度。这是由温度和化学柱的深度变化引起的,并且通常会增加液体和冰云的含量,以$ $ _2 $ <$ <$ 1%的PAL。

The Great Oxidation Event was a period during which Earth's atmospheric oxygen (O$_2$) concentrations increased from $\sim 10^{-5}$ times its present atmospheric level (PAL) to near modern levels, marking the start of the Proterozoic geological eon 2.4 billion years ago. Using WACCM6, an Earth System Model, we simulate the atmosphere of Earth-analogue exoplanets with O$_2$ mixing ratios between 0.1% and 150% PAL. Using these simulations, we calculate the reflection/emission spectra over multiple orbits using the Planetary Spectrum Generator. We highlight how observer angle, albedo, chemistry, and clouds affect the simulated observations. We show that inter-annual climate variations, as well short-term variations due to clouds, can be observed in our simulated atmospheres with a telescope concept such as LUVOIR or HabEx. Annual variability and seasonal variability can change the planet's reflected flux (including the reflected flux of key spectral features such as O$_2$ and H$_2$O) by up to factors of 5 and 20, respectively, for the same orbital phase. This variability is best observed with a high-throughput coronagraph. For example, HabEx (4 m) with a starshade performs up to a factor of two times better than a LUVOIR B (6 m) style telescope. The variability and signal-to-noise ratio of some spectral features depends non-linearly on atmospheric O$_2$ concentration. This is caused by temperature and chemical column depth variations, as well as generally increased liquid and ice cloud content for atmospheres with O$_2$ concentrations of $<$1% PAL.

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