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. Elsevier. 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.
Item URL in elib: | https://elib.dlr.de/65843/ | |||||||||
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Document Type: | Article | |||||||||
Title: | Efficient Unbiased Variance Reduction Techniques for Monte Carlo Simulations of Radiative Transfer in Cloudy Atmospheres: The Solution | |||||||||
Authors: |
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Date: | 2011 | |||||||||
Journal or Publication Title: | Journal of Quantitative Spectroscopy and Radiative Transfer | |||||||||
Refereed publication: | Yes | |||||||||
Open Access: | Yes | |||||||||
Gold Open Access: | No | |||||||||
In SCOPUS: | Yes | |||||||||
In ISI Web of Science: | Yes | |||||||||
Volume: | 112 | |||||||||
DOI : | 10.1016/j.jqsrt.2010.10.005 | |||||||||
Page Range: | pp. 434-447 | |||||||||
Publisher: | Elsevier | |||||||||
Status: | Published | |||||||||
Keywords: | Monte Carlo, Variance reduction, Atmosphere, Clouds, Radiative transfer | |||||||||
HGF - Research field: | Aeronautics, Space and Transport | |||||||||
HGF - Program: | Space, Aeronautics, Transport | |||||||||
HGF - Program Themes: | Earth Observation, ATM and Operation (old), Transport System | |||||||||
DLR - Research area: | Raumfahrt, Aeronautics, Transport | |||||||||
DLR - Program: | R EO - Earth Observation, L AO - Air Traffic Management and Operation, V VS - Verkehrssystem | |||||||||
DLR - Research theme (Project): | R - Atmospheric and climate research, L - Climate, Weather and Environment (old), V - Verkehrsentwicklung und Umwelt (old) | |||||||||
Location: | Oberpfaffenhofen | |||||||||
Institutes and Institutions: | Institute of Atmospheric Physics > Atmospheric Remote Sensing | |||||||||
Deposited By: | Freund, Jana | |||||||||
Deposited On: | 26 Oct 2010 10:32 | |||||||||
Last Modified: | 06 Sep 2019 15:28 |
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