Evidence for the 3D radiative effects of boundary-layer clouds from observations of direct and diffuse surface solar fluxes

Hogan, Robin J.

doi:10.1002/essoar.10506502.1

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Appendix A: Description Of the Monte Carlo Model1

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2023

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“…The MC code developed and used in this article is open source and freely distributed under the GPLv3 license (https://gitlab.com/najdavlf/scart_project). The source code of the specific version that was used for this paper, as well as the data that support the results presented and the scripts that produce the figures, are available at https:// zenodo.org/record/8046087 (Villefranque et al, 2023).…”

Section: Appendix A: Description Of the Monte Carlo Modelmentioning

confidence: 99%

A Functionalized Monte Carlo 3D Radiative Transfer Model: Radiative Effects of Clouds Over Reflecting Surfaces

Barker

Cole

2023

J Adv Model Earth Syst

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Cloud-radiation interactions are both complicated and central to several fields of the atmospheric sciences ranging from satellite remote sensing to numerical weather and climate prediction. Monte Carlo (MC) methods are unbiased statistical integration methods (Cahalan et al., 2005;Mayer, 2009;Pincus & Evans, 2009) that are able to solve the full radiative transfer (RT) equation for arbitrarily complex 3D fields. They have not been directly used in operational contexts yet because of their potentially substantial computational cost, which is mostly attributable to tracking large numbers N of virtual photon paths throughout cloudy atmospheres. They have, however, been used often to study complex interactions between 3D clouds and radiation (e.g., Veerman et al. (2022)) and consequently to evaluate and improve fast approximate RT models (

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Section: Appendix A: Description Of the Monte Carlo Modelmentioning

confidence: 99%