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Article information
2002 , Volume 7, ¹ 5, p.77-87
Firsov K.M., Chesnokova T.Y., Belov V.V., Serebrennikov A.B., Ponomarev Y.N.
Application of series of exponents in calculations of radiation transfer in spatially inhomogeneous aerosol and gaseous media by the Monte-Carlo method
A method for consideration of the molecular absorption when solving the radiation transfer equation in spatially inhomogeneous aerosol and gaseous media by the Monte-Carlo method is considered. The method is based on the expansion of the broadband transmission function in a series of exponents. The applicability of series of exponents to the spatially inhomogeneous atmosphere is analyzed both theoretically and numerically. The results of numerical modeling have demonstrated a high efficiency of the given method: the computational time decreased more than 102 times compared to the line-by-line method, and the discrepancy of the results obtained was less than 0.2%.
[full text] Classificator Msc2000:- *60H10 Stochastic ordinary differential equations
- 78A48 Composite media; random media
- 86A10 Meteorology and atmospheric physics
Keywords: vertically inhomogeneous atmosphere, atmospheric optics, benchmark calculations, solar radiation transfer parameters
Author(s):
Firsov K M
Address: 634050, Russia, Tomsk
E-mail: fkm@iao.ru
Chesnokova T Yu
Address: 634050, Russia, Tomsk
E-mail: fkm@iao.ru
Belov Vladimir Vasilyevich
Dr. , Professor
Position: Research Scientist
Office: V.E. Zuev Institute of Atmospheric Optics SB RAS, National Research Tomsk State University
Address: 634021, Russia, Tomsk, 1, Academician Zuev Sq.
Phone Office: (3822) 49 22 37
E-mail: belov@iao.ru
Serebrennikov A B
Address: 634050, Russia, Tomsk, 1, Academician Zuev Sq.
E-mail: fkm@iao.ru
Ponomarev Yu N
Address: 634050, Russia, Tomsk, 1, Academician Zuev Sq.
E-mail: fkm@iao.ru
Bibliography link:
Firsov K.M., Chesnokova T.Y., Belov V.V., Serebrennikov A.B., Ponomarev Y.N. Application of series of exponents in calculations of radiation transfer in spatially inhomogeneous aerosol and gaseous media by the Monte-Carlo method // Computational technologies. 2002. V. 7. ¹ 5. P. 77-87
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