2022
DOI: 10.1093/mnras/stac172
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ExoPlaSim: Extending the Planet Simulator for exoplanets

Abstract: The discovery of a large number of terrestrial exoplanets in the habitable zones of their stars, many of which are qualitatively different from Earth, has led to a growing need for fast and flexible 3D climate models, which could model 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 … Show more

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Cited by 15 publications
(23 citation statements)
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References 139 publications
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“…Such behavior is expected, as Paradise et al (2022) noted that they "have not validated ExoPlaSim in moist greenhouse and runaway greenhouse regimes" and chose to "include these warmer models for the sake of completeness." Although ExoPlaSim shows numerically stable solutions for these extremely hot atmospheres, it is worth noting that Paradise et al (2022) calculate the stratospheric water vapor content of these cases to be near or in excess of 10 −3 kg kg −1 , which is indicative of a moist or runaway greenhouse state. Case 4 is the only warm climate state calculated with ExoCAM, and the region of warm parameter space predicted by ExoCAM is smaller than for ExoPlaSim.…”
Section: Preliminary Comparisonmentioning
confidence: 99%
See 1 more Smart Citation
“…Such behavior is expected, as Paradise et al (2022) noted that they "have not validated ExoPlaSim in moist greenhouse and runaway greenhouse regimes" and chose to "include these warmer models for the sake of completeness." Although ExoPlaSim shows numerically stable solutions for these extremely hot atmospheres, it is worth noting that Paradise et al (2022) calculate the stratospheric water vapor content of these cases to be near or in excess of 10 −3 kg kg −1 , which is indicative of a moist or runaway greenhouse state. Case 4 is the only warm climate state calculated with ExoCAM, and the region of warm parameter space predicted by ExoCAM is smaller than for ExoPlaSim.…”
Section: Preliminary Comparisonmentioning
confidence: 99%
“…The identification of such areas of the parameter spaces may depend on the GCM used and on how far from the standard modern Earth atmosphere the simulation takes place. The design of this intercomparison is motivated by a recent study that used the ExoPlaSim GCM of intermediate complexity to conduct hundreds of simulations of an Earth-sized planet in a fixed synchronous orbit around an M-dwarf host star (Paradise et al 2022). ExoPlaSim is a computationally efficient GCM that can rapidly explore a large parameter space that would be difficult or intractable with a GCM of full complexity.…”
Section: Introductionmentioning
confidence: 99%
“…For planet f, we simulate 33 bar CO 2 (control) and a 33 bar CO 2 plus 1 bar H 2 O composition. 8 The aquaplanets use a 30 m thermodynamic slab ocean model, and desert planets have constant surface albedo values of 0.2 (Paradise et al 2022). The majority of the results will be focused on comparing the control runs with one or two of the sensitivity experiments.…”
Section: Exoplasim: a User-friendly And Versatile Gcm For Exoplanet E...mentioning
confidence: 99%
“…Even though convection adjustment schemes are too simplistic to represent the complexity of subgrid-scale convective plumes correctly, they are still often used in modeling planetary atmospheres to understand the key properties of convection (e.g. Lora et al 2015;Labonté & Merlis 2020;Turbet et al 2021a;Paradise et al 2022). The Adjust experiment thus is designed to test the effect of the representation of convection on the atmospheric circulation.…”
Section: Base and Sensitivity Experimentsmentioning
confidence: 99%