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The ouput simulation data of the Exo-FMS GCM and of the post-processing with gCMCRT for Effects of the internal temperature on vertical mixing and on cloud structures in Ultra Hot Jupiters

<p>The datasets contains the ouput simulation data of the Exo-FMS GCM and of the post-processing with gCMCRT for Effects of the internal temperature on vertical mixing and on cloud structures in Ultra Hot Jupiters</p> <p>Context. The vertical mixing in hot Jupiter atmospheres plays a critical role in the formation and spacial distribution of cloud particles<br>in their atmospheres. This affects the observed spectra of a planet through cloud opacity, which can be influenced by the degree of<br>cold trapping of refractory species in the deep atmosphere.<br>Aims. We aim to isolate the effects of the internal temperature on the mixing efficiency in the atmospheres of Ultra Hot Jupiters (UHJ)<br>and the spacial distribution of cloud particles across the globe.<br>Methods. We couple a simplified tracer based cloud model, picket fence radiative-transfer scheme and mixing length theory to the<br>Exo-FMS general circulation model. We run the model for five different internal temperatures at typical UHJ atmosphere system<br>parameters.<br>Results. Our results show the convective eddy diffusion coefficient remains low throughout the vast majority of the atmosphere, with<br>mixing dominated by advective flows. However, some regions can show convective mixing in the upper atmosphere for colder interior<br>temperatures. The vertical extent of the clouds is reduced as the internal temperature is increased. Additionally, a global cloud layer<br>gets formed below the radiative-convective boundary (RCB) in the cooler cases.<br>Conclusions. Convection is generally strongly inhibited in UHJ atmospheres above the RCB due to their strong irradiation. Convective<br>mixing plays a minor role in keeping cloud particles aloft in ultra hot Jupiters with warm interiors. Our results suggest isolated upper<br>atmosphere regions above cold interiors may exhibit strong convective mixing, allowing aerosols to be better retained in these areas.</p>

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32/100

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These five areas show where the dataset supports — or may limit — practical reuse.

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4
Harmonization
4
Access
16
Reuse readiness
8
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0