Planets and satellites: atmospheres; Planets and satellites: terrestrial planets; Condition; Liquid water; Main sequence stars; Planet and satellite: terrestrial planet; Planets and satellites; Stellar radiation; Terrestrial planets; Water clouds; Water condensation; Astronomy and Astrophysics; Space and Planetary Science; astro-ph.EP; Physics - Atmospheric and Oceanic Physics; Physics - Geophysics
Abstract :
[en] Understanding the set of conditions that allow rocky planets to have liquid water on their surface, in the form of lakes, seas, or oceans, is a major scientific step in determining the fraction of planets potentially suitable for the emergence and development of life as we know it on Earth. This effort is also necessary to define and refine what is known as the habitable zone (HZ) in order to guide the search for exoplanets likely to harbor remotely detectable life forms. To date, most numerical climate studies on this topic have focused on the conditions necessary to maintain oceans, but not to form them in the first place. Here we use the three-dimensional Generic Planetary Climate Model, historically known as the LMD generic global climate model, to simulate water-dominated planetary atmospheres around different types of main sequence stars. The simulations are designed to reproduce the conditions of early ocean formation on rocky planets due to the condensation of the primordial water reservoir at the end of the magma ocean phase. We show that the incoming stellar radiation (ISR) required to form oceans by condensation is always drastically lower than that required to vaporize oceans. We introduce a water condensation limit, which lies at significantly lower ISR than the inner edge of the HZ calculated with three-dimensional numerical climate simulations. This difference is due to a behavior change of water clouds, from low-altitude dayside convective clouds to high-altitude nightside stratospheric clouds. Finally, we calculated the transit spectra, emission spectra, and thermal phase curves of TRAPPIST-1b, c, and d with H2O-rich atmospheres, and compared them to CO2 atmospheres and bare rock simulations. We show using these observables that JWST has the capability to probe steam atmospheres on low-mass planets, and could possibly test the existence of nightside water clouds.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Turbet, Martin ; Laboratoire de Météorologie Dynamique/IPSL, Cnrs, Sorbonne Université, École Normale Supérieure, Université Psl, École Polytechnique, Institut Polytechnique de Paris, Paris, France ; Département d'Astronomie de l'Université de Genève, Sauverny, Switzerland ; Laboratoire d'Astrophysique de Bordeaux, Univ. Bordeaux, Cnrs, Pessac, France
Fauchez, Thomas J. ; Nasa Goddard Space Flight Center, Greenbelt, United States ; Integrated Space Science and Technology Institute, Department of Physics, American University, Washington, United States
Leconte, Jeremy ; Laboratoire d'Astrophysique de Bordeaux, Univ. Bordeaux, Cnrs, Pessac, France
Bolmont, Emeline; Département d'Astronomie de l'Université de Genève, Sauverny, Switzerland ; Centre Pour la Vie dans l'Univers, Université de Genève, Switzerland
Chaverot, Guillaume; Département d'Astronomie de l'Université de Genève, Sauverny, Switzerland ; Centre Pour la Vie dans l'Univers, Université de Genève, Switzerland
Forget, Francois ; Laboratoire de Météorologie Dynamique/IPSL, Cnrs, Sorbonne Université, École Normale Supérieure, Université Psl, École Polytechnique, Institut Polytechnique de Paris, Paris, France
Millour, Ehouarn; Laboratoire de Météorologie Dynamique/IPSL, Cnrs, Sorbonne Université, École Normale Supérieure, Université Psl, École Polytechnique, Institut Polytechnique de Paris, Paris, France
Selsis, Franck; Laboratoire d'Astrophysique de Bordeaux, Univ. Bordeaux, Cnrs, Pessac, France
Charnay, Benjamin ; Lesia, Observatoire de Paris, Université Psl, Cnrs, Sorbonne Université, Université Paris-Cité, Meudon, France
Gillon, Michaël ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO)
Maurel, Alice; Laboratoire de Météorologie Dynamique/IPSL, Cnrs, Sorbonne Université, École Normale Supérieure, Université Psl, École Polytechnique, Institut Polytechnique de Paris, Paris, France ; Sorbonne Universités, Upmc Université Paris 6 et Cnrs, Umr 7095, Institut d'Astrophysique de Paris, Paris, France
Villanueva, Geronimo L.; Nasa Goddard Space Flight Center, Greenbelt, United States
Acknowledgements. This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska- Curie Grant Agreement No. 832738/ESCAPE. This work has been carried out within the framework of the National Centre of Competence in Research PlanetS supported by the Swiss National Science Foundation. M.T. acknowledges the financial support of the SNSF. M.T. thanks the Gruber Foundation for its generous support to this research. M.T. acknowledges support from the Tremplin 2022 program of the Faculty of Science and Engineering of Sorbonne University. M.G., M.T. and F.S. acknowledge support from the BELSPO program BRAIN-be 2.0 (Belgian Research Action through Interdisciplinary Networks) contract B2/212/B1/PORTAL. This work was performed using the High-Performance Computing (HPC) resources of Centre Informatique National de l'Enseignement Sup\u00E9rieur (CINES) under the allocations No. A0060110391, A0080110391, A0100110391, A0120110391 made by Grand \u00E9quipement National de Calcul Intensif (GENCI). A total of \u223C1.3 M CPU hours were used for this project on the OCCIGEN supercomputer, resulting in \u223C2.3 t eq. of CO2 emissions. T.J.F. acknowledges the support of the NASA GSFC Sellers Exoplanet Environments Collaboration (SEEC), which is funded by the NASA Planetary Science Divisions Internal Scientist Funding Model. J.L. and F.S. acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 679030/WHIPLASH), and from the french state: CNES, Programme National de Plan\u00E9tologie (PNP), the ANR (ANR-20-CE49-0009: SOUND), and in the framework of the Investments for the Future programme IdEx, Universit\u00E9 de Bordeaux/RRI ORIGINS. The authors thank the Generic PCM team for the teamwork development and improvement of the model. This research has made use of NASA's Astrophysics Data System. M.T. thanks the LMD Planeto team as well as Nad\u00E8ge Lagarde (LAB) and Xavier Delfosse (IPAG) for useful discussions. We thank the anonymous reviewer for the very insightful comments and suggestions, which improved the quality of the manuscript. The Generic-PCM (and documentation on how to use the model) can be downloaded from our SVN repository https://svn.lmd.jussieu.fr/Planeto/ trunk/LMDZ.GENERIC/). More information and documentation on the model are available on http://www-planets.lmd.jussieu.fr. The GCM outputs of the TRAPPIST-1 planet simulations are provided here: https://zenodo. org/record/5627945. Other data underlying this article can be shared upon reasonable request to the corresponding author.This project has received funding from the European Union\u2019s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 832738/ESCAPE. This work has been carried out within the framework of the National Centre of Competence in Research PlanetS supported by the Swiss National Science Foundation. M.T. acknowledges the financial support of the SNSF. M.T. thanks the Gruber Foundation for its generous support to this research. M.T. acknowledges support from the Tremplin 2022 program of the Faculty of Science and Engineering of Sorbonne University. M.G., M.T. and F.S. acknowledge support from the BELSPO program BRAIN-be 2.0 (Belgian Research Action through Interdisciplinary Networks) contract B2/212/B1/PORTAL. This work was performed using the High-Performance Computing (HPC) resources of Centre Informatique National de l\u2019Enseignement Sup\u00E9rieur (CINES) under the allocations No. A0060110391, A0080110391, A0100110391, A0120110391 made by Grand \u00C9quipement National de Calcul Intensif (GENCI). A total of ~1.3 M CPU hours were used for this project on the OCCIGEN supercomputer, resulting in ~2.3 t eq. of CO emissions. T.J.F. acknowledges the support of the NASA GSFC Sellers Exoplanet Environments Collaboration (SEEC), which is funded by the NASA Planetary Science Divisions Internal Scientist Funding Model. J.L. and F.S. acknowledge funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation programme (grant agreement no. 679030/WHIPLASH), and from the french state: CNES, Programme National de Plan\u00E9tologie (PNP), the ANR (ANR-20-CE49-0009: SOUND), and in the framework of the Investments for the Future programme IdEx, Universit\u00E9 de Bordeaux/RRI ORIGINS. The authors thank the Generic PCM team for the teamwork development and improvement of the model. This research has made use of NASA\u2019s Astrophysics Data System. M.T. thanks the LMD Planeto team as well as Nad\u00E8ge Lagarde (LAB) and Xavier Delfosse (IPAG) for useful discussions. We thank the anonymous reviewer for the very insightful comments and suggestions, which improved the quality of the manuscript. The Generic-PCM (and documentation on how to use the model) can be downloaded from our SVN repository https://svn.lmd.jussieu.fr/Planeto/trunk/LMDZ.GENERIC/ ). More information and documentation on the model are available on http://www-planets.lmd.jussieu.fr . The GCM outputs of the TRAPPIST-1 planet simulations are provided here: https://zenodo.org/record/5627945 . Other data underlying this article can be shared upon reasonable request to the corresponding author. 2
Commentary :
Accepted for publication in Astronomy & Astrophysics
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