A Geant4 Monte Carlo toolkit-based radiative transfer model for studying the impact of aerosols

被引:0
作者
Boudjella, M. Y. [1 ]
Belbachir, A. H. [1 ]
Dib, A. S. A. [1 ]
Meftah, M. [2 ]
机构
[1] Univ Sci & Technol Oran Mohamed Boudiaf USTO MB, Fac Phys, Lab Anal & Applicat Radiat LAAR, BP 1505, Oran 31000, Algeria
[2] Univ Paris Saclay, Sorbonne Univ, Univ Versailles St Quentin En Yvelines, Lab Atmospheres Milieux Observat Spatiales LATMOS,, 11 Blvd Alembert, F-78280 Guyancourt, France
关键词
Geant4; DISORT code; Global irradiance; Diffuse irradiance; TOA reflected irradiance; Radiative forcing; SKY SOLAR IRRADIANCE; PHOTOSYNTHETICALLY ACTIVE RADIATION; LIBRADTRAN SOFTWARE PACKAGE; MULTIPLE-SCATTERING; PART I; ATMOSPHERE; CODE; PERFORMANCE; VALIDATION; VERSION;
D O I
10.1016/j.asr.2024.07.057
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Radiative transfer models are of prime importance in quantifying the earth-atmosphere energy budget. A radiative transfer model based on the Geant4 Monte Carlo toolkit was developed. This model is able to perform calculations of the spectral atmospheric transmittance, surface solar irradiance, as well as the Top of the Atmosphere (TOA) reflected irradiance over the spectral range from 280 nm to 3000 nm. Through this study, the Geant4 toolkit was used to study the effect of rural aerosols concentration on different radiative characteristics. Geant4 radiative calculations in the presence and absence of aerosols were compared to that of DISORT code. For both surface and Top of the atmosphere simulations, good agreement was observed between the two models. Specifically, under atmospheric visibility conditions of 23 km, the mean relative difference between Geant4 and DISORT code was found to be less than 2.46 % for Global irradiance calculations and less than 7.9 % for TOA reflected irradiance. A comparative analysis between the measured total global irradiance in Adrar city and the irradiance estimated by Geant4 demonstrated the general effectiveness of Geant4, with a coefficient of determination of 0.991 and a Mean Absolute Percentage Error (MAPE) of 5.851 %.<br /> (c) 2024 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:74 / 90
页数:17
相关论文
共 48 条
  • [41] A radiative transfer model to simulate light scattering in a compact granular medium using a Monte-Carlo approach: Validation and first applications
    Pilorget, C.
    Vincendon, M.
    Poulet, F.
    JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS, 2013, 118 (12) : 2488 - 2501
  • [42] A low-time complexity semi-analytic Monte Carlo radiative transfer model: Application to optical characteristics of complex spatial targets
    Gao, Peng
    Tao, Dongxing
    Yuan, Yuan
    Dong, Shikui
    JOURNAL OF COMPUTATIONAL SCIENCE, 2023, 68
  • [43] Linking computer-aided design (CAD) to Geant4-based Monte Carlo simulations for precise implementation of complex treatment head geometries
    Constantin, Magdalena
    Constantin, Dragos E.
    Keall, Paul J.
    Narula, Anisha
    Svatos, Michelle
    Perl, Joseph
    PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (08) : N211 - N220
  • [44] Ratios of internal doses deposited in different organs to the whole body when such organ is adopted as source of 18F-fluorodeoxyglucose, a Monte Carlo Geant4 study on a male medical internal radiation dose phantom
    EL Bakkali, Jaafar
    Doudouh, A.
    Biyi, A.
    Bouyakhlef, K.
    Sahel, O. Ait
    Benameur, Y.
    WORLD JOURNAL OF NUCLEAR MEDICINE, 2020, 19 (04) : 382 - 397
  • [45] Numerical Modeling of a Short-range Three-dimensional Flash LIDAR System Operating in a Scattering Atmosphere Based on the Monte Carlo Radiative Transfer Matrix Method
    An, Haechan
    Na, Jeongkyun
    Jeong, Yoonchan
    KOREAN JOURNAL OF OPTICS AND PHOTONICS, 2020, 31 (02) : 59 - 70
  • [46] Three-dimensional polarized Monte Carlo atmospheric radiative transfer model (3DMCPOL): 3D effects on polarized visible reflectances of a cirrus cloud
    Cornet, C.
    C-Labonnote, L.
    Szczap, F.
    JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2010, 111 (01) : 174 - 186
  • [47] Modelling of radiative transfer by the Monte Carlo method and solving the inverse problem based on a genetic algorithm according to experimental results of aerosol sensing on short paths using a femtosecond laser source
    Matvienko, G. G.
    Oshlakov, V. K.
    Stepanov, A. N.
    Sukhanov, A. Ya.
    QUANTUM ELECTRONICS, 2015, 45 (02) : 145 - 152
  • [48] A three-dimensional light transfer model based on the vertical point-quadrant method and Monte-Carlo simulation in a Fagus crenata forest canopy on Mount Naeba in Japan
    Iio, Atsuhiro
    Kakubari, Yoshitaka
    Mizunaga, Hiromi
    AGRICULTURAL AND FOREST METEOROLOGY, 2011, 151 (04) : 461 - 479