Path-tracing Monte Carlo Library for 3D Radiative Transfer in Highly Resolved Cloudy Atmospheres

TL;DR

This paper introduces an open-source Monte Carlo library designed to efficiently simulate 3D radiative transfer in complex cloud atmospheres, improving computational speed and accuracy for weather and climate modeling.

Contribution

It presents novel hierarchical grid algorithms that accelerate path-tracing in heterogeneous cloud data, with weak sensitivity to data refinement.

Findings

Hierarchical grids significantly reduce computation time.

Library effectively produces synthetic cloud radiance images.

Demonstrates improved efficiency in 3D radiative transfer simulations.

Abstract

Interactions between clouds and radiation are at the root of many difficulties in numerically predicting future weather and climate and in retrieving the state of the atmosphere from remote sensing observations. The large range of issues related to these interactions, and in particular to three-dimensional interactions, motivated the development of accurate radiative tools able to compute all types of radiative metrics, from monochromatic, local and directional observables, to integrated energetic quantities. In the continuity of this community effort, we propose here an open-source library for general use in Monte Carlo algorithms. This library is devoted to the acceleration of path-tracing in complex data, typically high-resolution large-domain grounds and clouds. The main algorithmic advances embedded in the library are those related to the construction and traversal of hierarchical grids accelerating the tracing of paths through heterogeneous fields in null-collision (maximum cross-section) algorithms. We show that with these hierarchical grids, the computing time is only weakly sensitivive to the refinement of the volumetric data. The library is tested with a rendering algorithm that produces synthetic images of cloud radiances. Two other examples are given as illustrations, that are respectively used to analyse the transmission of solar radiation under a cloud together with its sensitivity to an optical parameter, and to assess a parametrization of 3D radiative effects of clouds.

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