Introduction

Process‐Based Climate Model Development Harnessing Machine Learning: III. The Representation of Cumulus Geometry and Their 3D Radiative Effects

“…MC methods are widely used to accurately compute 3D RT in complex media (see for example Marchuk et al (1980), Mayer (2009) or Marshak and Davis (2005)). The model used here is based on the High-Tune library described in , and is freely available online at https://gitlab.com/najdavlf/scart project.…”

A Monte Carlo-Based Strategy to Assess Complex Kinetics: Application of the Null-Reaction Method to DAEM

“…To better describe the thermal behavior of natural polymers, a combination of Gaussian distributions can be used to appropriately represent the reactivity distribution. As a result, the distribution p scriptE ( E ) can be expressed as a linear combination of different distributions weighted by factors . A DAEM combining three Gaussian functions has been suggested by Wang et al to describe the concomitant degradation of cellulose, hemicelluloses, and lignin.…”

“…In plasma physics, Skullerud used this technique to statistically sample a collision time of charged particles in plasma. This method has strongly influenced the plasma culture. − The technique is not exclusively called “null collisions”, and there are several other names: null event, pseudocollisions, fictitious collisions, hole tracking, Woodcock scattering, delta scattering, pseudoscattering, or maximum cross section by Marchuk . On the other hand, in neutronics, some authors , introduced the method in this community, followed by the works of others − who implemented the same method in various simulation codes of neutron transport.…”

Process-based climate model development harnessing machine learning: III. The Representation of Cumulus Geometry and their 3D Radiative Effects

“…A MC code is used to compute solar 3D RT in 3D cloud fields, considered as the "truth" in comparisons to ecRad estimates. The Monte Carlo methods are widely used to accurately compute 3D RT in complex media (see for example Marchuk et al (1980), Mayer (2009) or Marshak and Davis (2005)). It consists in tracking a large number of virtual photon paths (in this work, ten million per simulation) throughout a virtual medium, explicitly simulating all radiative processes such as emission, absorption, scattering and surface reflection.…”