English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

1D climate models are less sophisticated than 3D global circulation models(GCMs), however their computational time is much less expensive, allowing alarge number of runs in a short period of time to explore a wide parameterspace. Exploring parameter space is particularly important for predicting theobservable properties of exoplanets, for which few parameters are known withcertainty. Therefore, 1D climate models are still very useful tools forplanetary studies. In most of these 1D models, clouds are not physicallyrepresented in the atmosphere, despite having a well-known, significant impacton a planetary radiative budget. This impact is simulated by artificiallyraising surface albedo, in order to reproduce the observed-averaged surfacetemperature (i.e. 288 K for modern Earth) and a radiative balance at the top ofthe atmosphere. This non-physical representation of clouds, causes atmosphericlongwave and shortwaves fluxes to not match observational data. Additionally,this technique represents a parameter that is highly-tuned to modern Earth'sclimate, and may not be appropriate for planets that deviate from modernEarth's climate conditions. In this paper, we present an update to the climatemodel within the Atmos 1D atmospheric modeling package with a physicalrepresentation of clouds. We show that this physical representation of cloudsin the atmosphere allows both longwave and shortwave fluxes to matchobservational data. This improvement will allow us to study the energy fluxesfor a variety of cloudy rocky planets, and increase our confidence in futuresimulations of temperature profile and net energy balance.

Explicit cloud representation in the Atmos 1D climate model for Earth and rocky planet applications