Climate uncertainties caused by unknown land distribution on habitable M-Earths

ABSTRACT A planet’s surface conditions can significantly impact its climate and habitability. In this study, we use the 3D general circulation model exoplasim to systematically vary dayside land cover on a synchronously rotating, temperate rocky planet under two extreme and opposite continent config...

Full description

Bibliographic Details
Published in:Monthly Notices of the Royal Astronomical Society
Main Authors: Macdonald, Evelyn, Paradise, Adiv, Menou, Kristen, Lee, Christopher
Other Authors: NSERC, University of Toronto
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2022
Subjects:
Online Access:http://dx.doi.org/10.1093/mnras/stac1040
https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stac1040/43384053/stac1040.pdf
https://academic.oup.com/mnras/article-pdf/513/2/2761/43616589/stac1040.pdf
Description
Summary:ABSTRACT A planet’s surface conditions can significantly impact its climate and habitability. In this study, we use the 3D general circulation model exoplasim to systematically vary dayside land cover on a synchronously rotating, temperate rocky planet under two extreme and opposite continent configurations, in which either all of the land or all of the ocean is centred at the substellar point. We identify water vapour and sea ice as competing drivers of climate, and we isolate land-dependent regimes under which one or the other dominates. We find that the amount and configuration of land can change the planet’s globally averaged surface temperature by up to ∼20 K, and its atmospheric water vapour content by several orders of magnitude. The most discrepant models have partial dayside land cover with opposite continent configurations. Since transit spectroscopy may permit observations of M-dwarf planets’ atmospheres, but their surfaces will be difficult to observe, these land-related climate differences likely represent a limiting uncertainty in a given planet’s climate, even if its atmospheric composition is known. Our results are robust to variations in atmospheric CO2 concentration, stellar temperature, and instellation.