Dynamic probabilistic method of numerical modeling of multidimensional hydrometeorological fields

Protasov A. V. and Ogorodnikov V. A.

Monte Carlo Methods and Applications, 2004, vol. 10, issue 3-4, 541-549

Abstract: On the basis of a variational principle, a method of dynamic-probabilistic numerical modeling of ensembles of independent samples of a family of spatial-time stochastic fields is proposed. The ensemble of samples satisfies the statistical structure of real fields, and each sample of this ensemble satisfies the numerical dynamic model.

Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/mcma.2004.10.3-4.541 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:10:y:2004:i:3-4:p:541-549:n:35

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html

DOI: 10.1515/mcma.2004.10.3-4.541

Access Statistics for this article

Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld

More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().