论文标题
陆地行星的辐射感染模型,带有自一致的斑点云
A Radiative-Convective Model for Terrestrial Planets with Self-Consistent Patchy Clouds
论文作者
论文摘要
云无处不在, - \,它们是针对拥有大气的每个太阳系行星出现的,也被认为是掩盖系外行星观测中光谱特征的领先机制。随着系外行星的观测继续改善,需要有效,一般的行星气候模型,以适当处理这些世界上可能发生的云大气环境。我们生成了一个新的一维辐射感染的陆地气候模型,该模型通过对凝结和沉降过程的参数化微物理处理来自一处理斑驳的云。我们的模型足够通用,可以重新创建地球的大气辐射环境而没有过度参数化,同时还保持了一种简单的实现,该实现适用于广泛的大气组成和物理行星特性。我们首先通过将其与地球热结构数据以及现有的气候和辐射转移工具进行比较来验证这种新的一维云辐射对流模型。我们产生部分云状的地球样气候,其云结构代表了深层对流对流,并且是岩石行星大气中云的足够的一维表示。在对地球进行验证之后,我们使用了部分云的气候模型,并探索具有次级氮为主的大气的超级地球系外行星的潜在气候,我们认为这是非生物的。我们还将部分云的气候模型与全体物理,逐线辐射转移模型相结合,并生成模拟气候的高分辨率光谱。这些自一致的气候到光谱模型弥合了气候建模工作与岩石世界的观察性研究之间的差距。
Clouds are ubiquitous\, -- \,they arise for every solar system planet that possesses an atmosphere and have also been suggested as a leading mechanism for obscuring spectral features in exoplanet observations. As exoplanet observations continue to improve, there is a need for efficient and general planetary climate models that appropriately handle the possible cloudy atmospheric environments that arise on these worlds. We generate a new 1D radiative-convective terrestrial planet climate model that self-consistently handles patchy clouds through a parameterized microphysical treatment of condensation and sedimentation processes. Our model is general enough to recreate Earth's atmospheric radiative environment without over-parameterization, while also maintaining a simple implementation that is applicable to a wide range of atmospheric compositions and physical planetary properties. We first validate this new 1D patchy cloud radiative-convective climate model by comparing it to Earth thermal structure data and to existing climate and radiative transfer tools. We produce partially-clouded Earth-like climates with cloud structures that are representative of deep tropospheric convection and are adequate 1D representations of clouds within rocky planet atmospheres. After validation against Earth, we then use our partially clouded climate model and explore the potential climates of super-Earth exoplanets with secondary nitrogen-dominated atmospheres which we assume are abiotic. We also couple the partially clouded climate model to a full-physics, line-by-line radiative transfer model and generate high-resolution spectra of simulated climates. These self-consistent climate-to-spectral models bridge the gap between climate modeling efforts and observational studies of rocky worlds.