ExoPlaSim: Extending the Planet Simulator for Exoplanets
ExoPlaSim: Extending the Planet Simulator for Exoplanets
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ExoPlaSim：扩展系外行星的行星模拟器
DOI：
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发表时间：
2021
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通讯作者：
Bo Fan
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作者：
A. Paradise;E. Macdonald;K. Menou;Christopher Lee;Bo Fan
在其恒星的宜居带中发现了大量类地系外行星，其中许多在质量上与地球不同，导致对快速灵活的 3D 气候模型的需求不断增长，该模型可以对此类行星进行建模并探索多种可能的气候状态和表面条件。我们通过创建 ExoPlaSim 来满足这一需求，这是行星模拟器 (PlaSim) 的修改版本，旨在适用于同步旋转的类地行星、具有非太阳光谱的绕恒星运行的行星以及具有非类地表面压力的行星。在本文中，我们描述了我们的修改，提出了 ExoPlaSim 相对于其他 GCM 的性能验证测试，并通过执行涉及数百个模型的两个简单实验来证明其实用性。我们发现 ExoPlaSim 在质量上与 ExoCAM、LMDG 和 ROCKE-3D 等更复杂的 GCM 一致，在多项指标上属于集成分布。该模型速度足够快，可以使用数百到数千个模型进行大参数调查，从而有可能在检索未来系外行星观测时有效地使用 3D 气候模型。我们描述了我们通过新的 Python API 和通过 pip 简化的安装以及在线文档，使非建模者（包括观察者、非计算理论家、学生和教育工作者）可以使用 ExoPlaSim 的努力。
The discovery of a large number of terrestrial exoplanets in the habitable zones of their stars, many of which are qualitatively different fromEarth, has led to a growing need for fast and flexible 3D climatemodels, which couldmodel such planets and explore multiple possible climate states and surface conditions. We respond to that need by creating ExoPlaSim, a modified version of the Planet Simulator (PlaSim) that is designed to be applicable to synchronously rotating terrestrial planets, planets orbiting stars with non-solar spectra, and planets with non-Earth-like surface pressures. In this paper we describe our modifications, present validation tests of ExoPlaSim’s performance against other GCMs, and demonstrate its utility by performing two simple experiments involving hundreds of models. We find that ExoPlaSim agrees qualitatively with more-sophisticated GCMs such as ExoCAM, LMDG, and ROCKE-3D, falling within the ensemble distribution on multiple measures. The model is fast enough that it enables large parameter surveys with hundreds to thousands of models, potentially enabling the efficient use of a 3D climate model in retrievals of future exoplanet observations. We describe our efforts to make ExoPlaSim accessible to non-modellers, including observers, non-computational theorists, students, and educators through a new Python API and streamlined installation through pip, along with online documentation.