Tory, Washington, DC 20375, USA; [email protected] Correspondence: [email protected]: A prototype of a three-dimensional (3-D) radiation model is developed employing the lattice Boltzmann technique (LBM) and implemented on a graphical processing unit (GPU) to accelerate the model’s computational speed. This radiative transfer-lattice Boltzmann model (RT-LBM) outcomes from a discretization of your radiative transfer equation in time, space, and solid angle. The collision and streaming computation algorithm, extensively employed in LBM for fluid flow modeling, is applied to speed up the RT-LBM computation around the GPU platform. The isotropic scattering is assumed within this study. The accuracy is evaluated utilizing Monte Carlo strategy (MCM) simulations, showing RT-LBM is pretty precise when typical atmospheric coefficients of scattering and absorption are employed. RT-LBM runs about ten times more rapidly than the MCM in a identical CPU. When implemented on a NVidia Tesla V100 GPU in simulation having a significant number of computation grid points, by way of example, RT-LBM runs 120 times faster than running on a Haloxyfop medchemexpress single CPU. The test results indicate RT-LBM is definitely an precise and speedy model and is viable for simulating radiative transfer inside the atmosphere with ranges for the isotropic atmosphere radiative parameters of albedo scattering (0.1 0.9) and optical depth (0.1 12). Keyword phrases: radiative transfer modeling; lattice Boltzmann approach; GPU computingCitation: Wang, Y.; Zeng, X.; Decker, J. A GPU-Accelerated Radiation Transfer Model Employing the Lattice Boltzmann Strategy. Atmosphere 2021, 12, 1316. https://doi.org/10.3390/ atmos12101316 Academic Editor: Evgueni Kassianov Received: 4 August 2021 Accepted: 28 September 2021 Published: 9 October1. Introduction Radiative energy transfer plays an essential part in lots of regions of science and technologies. Accurate modeling of incoming solar radiation and outgoing infrared radiation in the Earth’s surface and their interactions with atmospheric constituents has been among the most significant tasks for the atmospheric sciences and remote sensing of environments. Compared with cloud-free and large-scale atmospherics, in which radiative transfer is normally Tartrazine web treated one-dimensionally by assuming horizontal homogeneity, radiation transfer near the ground is often a complicated three-dimensional (3-D) phenomenon due to interactions with the Earth’s surface capabilities, which include terrains, buildings, soil, and vegetation. The mathematical description of electromagnetic radiation propagation may be the radiative transfer equation (RTE) with related emission, absorption, and scattering parameters and complicated boundary conditions. Analytical solutions for true atmospheric conditions are usually not obtainable. Resulting from the complexity and difficulties in solving the RTE, quite a few numerical solutions, for instance the Monte Carlo method (MCM) [1], finite volume system (FVM) [2], and discrete ordinates technique (DOM) [3], to name a handful of, have been developed. Proper option of numerical system is dependent on the issue parameters and boundary conditions. The MCM is deemed as a versatile and precise system that may deal with complicated situations and is free of charge from numerical errors for example ray effects, numerical smearing, and false scattering [1,3,4]. Therefore, the MCM is normally made use of as a benchmark tool for radiative transfer modeling. The drawback together with the MCM is it requires an extremely significant variety of photons to be released to prevent statistical noise; thus, it is computationally highly-priced.
