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As the number of known exoplanets has climbed into the thousands, efforts bytheorists to understand the diversity of climates that may exist on terrestrialplanets in the habitable zone have also accelerated. These efforts have rangedfrom analytical, to simple 0-D, 1-D, and 2-D models, to highly-sophisticated 3Dglobal climate models (GCMs) adapted from Earth climate and weather models. Theadvantage of the latter is that fewer physical processes are reduced to simpleparameterizations and empirical fits, and may instead be represented byphysically-motivated algorithms. However, many such models are difficult touse, and take a long time to reach a converged state relative to simplermodels, thereby limiting the amount of parameter space that can be explored. Weuse PlaSim, a 3D climate model of intermediate complexity, to bridge this gap,allowing us to produce hundreds to thousands of model outputs that have reachedenergy balance equilibrium at the surface and top of the atmosphere. We aremaking our model outputs available to the community in a permanent Dataverserepository (https://dataverse.scholarsportal.info/dataverse/kmenou). A subsetof our model outputs can be used directly with external spectral postprocessingtools, and we have used them with petitRADTRANS and SBDART in order to createsynthetic observables representative of fully-3D climates. Another natural useof this repository will be to use more-sophisticated GCMs to cross-check andverify PlaSim's results, and to explore in more detail those regions of theexoplanet parameter space identified in our PlaSim results as being ofparticular interest. We will continue to add models to this repository in thefuture, including more than 1000 models in the short- to medium-term future,expanding the diversity of climates represented therein.

A Large Repository of 3D Climate Model Outputs for Community Analysis and Postprocessing