Buras, R. und 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, Seiten 434-447. Elsevier. doi: 10.1016/j.jqsrt.2010.10.005.
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Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/65843/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | Efficient Unbiased Variance Reduction Techniques for Monte Carlo Simulations of Radiative Transfer in Cloudy Atmospheres: The Solution | ||||||||||||
Autoren: |
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Datum: | 2011 | ||||||||||||
Erschienen in: | Journal of Quantitative Spectroscopy and Radiative Transfer | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
Band: | 112 | ||||||||||||
DOI: | 10.1016/j.jqsrt.2010.10.005 | ||||||||||||
Seitenbereich: | Seiten 434-447 | ||||||||||||
Verlag: | Elsevier | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Monte Carlo, Variance reduction, Atmosphere, Clouds, Radiative transfer | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt, Luftfahrt, Verkehr | ||||||||||||
HGF - Programmthema: | Erdbeobachtung, ATM und Flugbetrieb (alt), Verkehrssystem | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt, Luftfahrt, Verkehr | ||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung, L AO - Luftverkehrsmanagement und Flugbetrieb, V VS - Verkehrssystem | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Atmosphären- und Klimaforschung, L - Klima, Wetter und Umwelt (alt), V - Verkehrsentwicklung und Umwelt (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Physik der Atmosphäre > Fernerkundung der Atmosphäre | ||||||||||||
Hinterlegt von: | Freund, Jana | ||||||||||||
Hinterlegt am: | 26 Okt 2010 10:32 | ||||||||||||
Letzte Änderung: | 06 Sep 2019 15:28 |
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