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Efficient Unbiased Variance Reduction Techniques for Monte Carlo Simulations of Radiative Transfer in Cloudy Atmospheres: The Solution

Buras, R. and Mayer, B. (2011) Efficient Unbiased Variance Reduction Techniques for Monte Carlo Simulations of Radiative Transfer in Cloudy Atmospheres: The Solution. Journal of Quantitative Spectroscopy and Radiative Transfer, 112, pp. 434-447. DOI: 10.1016/j.jqsrt.2010.10.005.

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Official URL: http://www.elsevier.com/locate/jqsrt

Abstract

Wepresent five new variance reduction techniques applicable toMonte Carlo simulations of radiative transfer in the atmosphere: detector directional importance sampling, n-tuple local estimate, prediction-based splitting and Russian roulette, and circumsolar virtual importance sampling. With this set of methods it is possible to simulate remote sensing instruments accurately and quickly. In contrast to all other known techniques used to accelerate Monte Carlo simulations in cloudy atmospheres – except for two methods limited to narrow angle lidars – the presented methods do not make any approximations, and hence do not bias the result. Nevertheless, these methods converge as quickly as any of the biasing acceleration techniques, and the probability distribution of the simulation results is almost perfectly normal. The presented variance reduction techniques have been implemented into the Monte Carlo code MYSTIC (‘‘Monte Carlo code for the physically correct tracing of photons in cloudy atmospheres’’) in order to validate the techniques.

Document Type:Article
Title:Efficient Unbiased Variance Reduction Techniques for Monte Carlo Simulations of Radiative Transfer in Cloudy Atmospheres: The Solution
Authors:
AuthorsInstitution or Email of Authors
Buras, R.LMU
Mayer, B.LMU / DLR
Date:2011
Journal or Publication Title:Journal of Quantitative Spectroscopy and Radiative Transfer
Refereed publication:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:112
DOI:10.1016/j.jqsrt.2010.10.005
Page Range:pp. 434-447
Status:Published
Keywords:Monte Carlo, Variance reduction, Atmosphere, Clouds, Radiative transfer
HGF - Research field:Aeronautics, Space and Transport, Aeronautics, Space and Transport, Aeronautics, Space and Transport
HGF - Program:Space, Aeronautics, Transport
HGF - Program Themes:Earth Observation, ATM and Operation, Transport System
DLR - Research area:Raumfahrt, Aeronautics, Transport
DLR - Program:R EO - Erdbeobachtung, L AO - Air Traffic Management and Operation, V VS - Verkehrssystem
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung, L - Climate, Weather and Environment, V - Verkehrsentwicklung und Umwelt (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Remote Sensing
Deposited By: Jana Freund
Deposited On:26 Oct 2010 10:32
Last Modified:26 Mar 2013 13:20

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