论文标题

稀疏的大气模型采样分析(SAMOSA)比较:动机和协议版本1.0。美食模型比较项目

The Sparse Atmospheric MOdel Sampling Analysis (SAMOSA) intercomparison: Motivations and protocol version 1.0. A CUISINES model intercomparison project

论文作者

Haqq-Misra, Jacob, Wolf, Eric T., Fauchez, Thomas J., Shields, Aomawa L., Kopparapu, Ravi K.

论文摘要

围绕低质量恒星同步旋转的行星是当前地面和空间基于观察和表征的最突出的目标。这样的模型计算可以帮助您优先使用当前和将来的任务观察目标;但是,各种模型的复杂性和物理参数化的内在差异可以导致行星气候状态的不同预测。如果这样的模型要指导目标选择并有助于分析观察结果,则必须了解这种模型差异。本文介绍了一个假设行星的互助模型的方案,该模型在3000 K黑体恒星附近的15天同步旋转周期跨越了表面压力和入射启动的参数空间。我们通过外部模型对先前发布的该参数空间的探索进行了16例稀疏样本。通过在此广泛的参数空间中选择特定情况,Samosa比较将确定更简单的模型以及需要更复杂的GCM的区域。我们使用exocam的初步比较显示了exocam和exoplasim预测的气候状态之间的一般一致性,除了最有可能处于蒸汽气氛或初期失控温室状态的参数空间区域。我们使用此初步分析来定义通过各个复杂性模型参与比对的几种选项。其他GCM的参与对于了解该参数空间跨模型功能的大气状态如何不同。

Planets in synchronous rotation around low-mass stars are the most salient targets for current ground- and space-based missions to observe and characterize. Such model calculations can help to prioritize targets for observation with current and future missions; however, intrinsic differences in the complexity and physical parameterizations of various models can lead to different predictions of a planet's climate state. Understanding such model differences is necessary if such models are to guide target selection and aid in the analysis of observations. This paper presents a protocol to intercompare models of a hypothetical planet with a 15 day synchronous rotation period around a 3000 K blackbody star across a parameter space of surface pressure and incident instellation. We conduct a sparse sample of 16 cases from a previously published exploration of this parameter space with the ExoPlaSim model. By selecting particular cases across this broad parameter space, the SAMOSA intercomparison will identify areas where simpler models are sufficient as well as areas where more complex GCMs are required. Our preliminary comparison using ExoCAM shows general consistency between the climate state predicted by ExoCAM and ExoPlaSim except in regions of the parameter space most likely to be in a steam atmosphere or incipient runaway greenhouse state. We use this preliminary analysis to define several options for participation in the intercomparison by models of all levels of complexity. The participation of other GCMs is crucial to understand how the atmospheric states across this parameter space differ with model capabilities.

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