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Updated: Jul 5, 2025

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
Published on: May 10, 2020
Spectrally refined unbiased Monte Carlo estimate of the Earth's global radiative cooling
Yaniss Nyffenegger-Péré1,2, Raymond Armante3, Mégane Bati4
1Laboratoire Plasma et Conversion d'Energie, Université de Toulouse, CNRS, Institut national polytechnique de Toulouse (INPT), Université Paul Sabatier (UPS), Toulouse 31062, France.
Abstract:
The Earth's radiative cooling is a key driver of climate. Determining how it is affected by greenhouse gas concentration is a core question in climate-change sciences. Due to the complexity of radiative transfer processes, current practices to estimate this cooling require the development and use of a suite of radiative transfer models whose accuracy diminishes as we move from local, instantaneous estimates to global estimates over the whole globe and over long periods of time (decades). Here, we show that recent advances in nonlinear Monte Carlo methods allow a paradigm shift: a completely unbiased estimate of the Earth's infrared cooling to space can be produced using a single model, integrating the most refined spectroscopic models of molecular gas energy transitions over a global scale and over years, all at a very low computational cost (a few seconds).
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