Horizontal quenching at wind speeds ≳500 m/s, plus carbon-sulfur chemistry, explains the MIRI non-detection of night-side methane on WASP-43 b without requiring high metallicity.
Journal of Advances in Modeling Earth Systems , year = 2020, month = jul, volume =
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A flow matching deep learning emulator trained on multiple SSPs generates forced climate responses for unseen scenarios and is validated against the MESMER-M statistical emulator.
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Phase-dependent chemistry of WASP-43 b revealed with a suite of one-, two-, and three-dimensional models
Horizontal quenching at wind speeds ≳500 m/s, plus carbon-sulfur chemistry, explains the MIRI non-detection of night-side methane on WASP-43 b without requiring high metallicity.
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Emulating the Forced Response of Climate Models with Flow Matching
A flow matching deep learning emulator trained on multiple SSPs generates forced climate responses for unseen scenarios and is validated against the MESMER-M statistical emulator.