Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere

Autor: D. E. Sergeev, N. J. Mayne, T. Bendall, I. A. Boutle, A. Brown, I. Kavčič, J. Kent, K. Kohary, J. Manners, T. Melvin, E. Olivier, L. K. Ragta, B. Shipway, J. Wakelin, N. Wood, M. Zerroukat
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Geoscientific Model Development, Vol 16, Pp 5601-5626 (2023)
Druh dokumentu: article
ISSN: 1991-959X
1991-9603
DOI: 10.5194/gmd-16-5601-2023
Popis: We demonstrate that LFRic-Atmosphere, a model built using the Met Office's GungHo dynamical core, is able to reproduce idealised large-scale atmospheric circulation patterns specified by several widely used benchmark recipes. This is motivated by the rapid rate of exoplanet discovery and the ever-growing need for numerical modelling and characterisation of their atmospheres. Here we present LFRic-Atmosphere's results for the idealised tests imitating circulation regimes commonly used in the exoplanet modelling community. The benchmarks include three analytic forcing cases: the standard Held–Suarez test, the Menou–Rauscher Earth-like test, and the Merlis–Schneider tidally locked Earth test. Qualitatively, LFRic-Atmosphere agrees well with other numerical models and shows excellent conservation properties in terms of total mass, angular momentum, and kinetic energy. We then use LFRic-Atmosphere with a more realistic representation of physical processes (radiation, subgrid-scale mixing, convection, clouds) by configuring it for the four TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI) scenarios. This is the first application of LFRic-Atmosphere to a possible climate of a confirmed terrestrial exoplanet. LFRic-Atmosphere reproduces the THAI scenarios within the spread of the existing models across a range of key climatic variables. Our work shows that LFRic-Atmosphere performs well in the seven benchmark tests for terrestrial atmospheres, justifying its use in future exoplanet climate studies.
Databáze: Directory of Open Access Journals
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