Stochastic Lagrangian footprint calculations over a surface with an abrupt change of roughness height

Verfasser / Beitragende:
[O. Kurbanmuradov, A. Levykin, U. Rannik, K. Sabelfeld, T. Vesala]
Ort, Verlag, Jahr:
2003
Enthalten in:
Monte Carlo Methods and Applications, 9/2(2003-04-01), 167-188
Format:
Artikel (online)
ID: 37887649X
LEADER caa a22 4500
001 37887649X
003 CHVBK
005 20180305123421.0
007 cr unu---uuuuu
008 161128e20030401xx s 000 0 eng
024 7 0 |a 10.1515/156939603322663330  |2 doi 
035 |a (NATIONALLICENCE)gruyter-10.1515/156939603322663330 
245 0 0 |a Stochastic Lagrangian footprint calculations over a surface with an abrupt change of roughness height  |h [Elektronische Daten]  |c [O. Kurbanmuradov, A. Levykin, U. Rannik, K. Sabelfeld, T. Vesala] 
520 3 |a Forward and backward stochastic Lagrangian trajectory simulation methods are developed to calculate the footprint and cumulative footprint functions of concentration and fluxes in the case when the ground surface has an abrupt change of the roughness height. The statistical characteristics to the stochastic model are extracted numerically from a closure model we developed for the atmospheric boundary layer. The flux footprint function is perturbed in comparison with the footprint function for surface without change in properties. The perturbation depends on the observation level as well as roughness change and distance from the observation point. It is concluded that the footprint function for horizontally homogeneous surface, widely used in estimation of sufficient fetch for measurements, can be seriously biased in many cases of practical importance. 
540 |a Copyright 2003, Walter de Gruyter 
700 1 |a Kurbanmuradov  |D O.  |u Center for Phys. Math. Research, Turkmenian State University, Turkmenbashy av. 31, 744000 Ashgabad, Turkmenistan.  |4 aut 
700 1 |a Levykin  |D A.  |u Institute of Comput. Mathematics and Mathematical Geophysics,Russian Academy of Sciences, Lavrentieva str., 6 630090 Novosibirsk, Russia.  |4 aut 
700 1 |a Rannik  |D U.  |u Department of Physics, FIN-00014 University of Helsinki, Finland.  |4 aut 
700 1 |a Sabelfeld  |D K.  |u Institute of Comput. Mathematics and Mathematical Geophysics,Russian Academy of Sciences, Lavrentieva str., 6 630090 Novosibirsk, Russia.  |4 aut 
700 1 |a Vesala  |D T.  |u Department of Physics, FIN-00014 University of Helsinki, Finland.  |4 aut 
773 0 |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 9/2(2003-04-01), 167-188  |x 0929-9629  |q 9:2<167  |1 2003  |2 9  |o mcma 
856 4 0 |u https://doi.org/10.1515/156939603322663330  |q text/html  |z Onlinezugriff via DOI 
908 |D 1  |a research article  |2 jats 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1515/156939603322663330  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kurbanmuradov  |D O.  |u Center for Phys. Math. Research, Turkmenian State University, Turkmenbashy av. 31, 744000 Ashgabad, Turkmenistan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Levykin  |D A.  |u Institute of Comput. Mathematics and Mathematical Geophysics,Russian Academy of Sciences, Lavrentieva str., 6 630090 Novosibirsk, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Rannik  |D U.  |u Department of Physics, FIN-00014 University of Helsinki, Finland  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Sabelfeld  |D K.  |u Institute of Comput. Mathematics and Mathematical Geophysics,Russian Academy of Sciences, Lavrentieva str., 6 630090 Novosibirsk, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Vesala  |D T.  |u Department of Physics, FIN-00014 University of Helsinki, Finland  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 9/2(2003-04-01), 167-188  |x 0929-9629  |q 9:2<167  |1 2003  |2 9  |o mcma 
900 7 |b CC0  |u http://creativecommons.org/publicdomain/zero/1.0  |2 nationallicence 
898 |a BK010053  |b XK010053  |c XK010000 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-gruyter