Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields

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Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields. / Kargapolova, Nina A.

31st Annual European Simulation and Modelling Conference 2017, ESM 2017. EUROSIS, 2017. p. 295-300.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kargapolova, NA 2017, Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields. in 31st Annual European Simulation and Modelling Conference 2017, ESM 2017. EUROSIS, pp. 295-300, 31st Annual European Simulation and Modelling Conference, ESM 2017, Lisbon, Portugal, 25.10.2017.

BibTeX

@inproceedings{4f6a21643019478d8fe98840dc40ae8b,

title = "Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields",

abstract = "In this paper, a stochastic model of river flow and daily precipitation conditional fields is considered. This model is based on real data from weather stations situated in Novosibirsk region and gauging stations on Berd' river. Spatial heterogeneity of precipitation distributions is taken into account. Several examples that illustrate dependence of river flow on different precipitation regimes are given.",

keywords = "Conditional field, Multiplicative model, Precipitation, River flow, Stochastic simulation",

author = "Kargapolova, {Nina A.}",

note = "Publisher Copyright: {\textcopyright} 2017 EUROSIS-ETI. All rights reserved.; 31st Annual European Simulation and Modelling Conference, ESM 2017 ; Conference date: 25-10-2017 Through 27-10-2017",

year = "2017",

month = jan,

day = "1",

language = "English",

pages = "295--300",

booktitle = "31st Annual European Simulation and Modelling Conference 2017, ESM 2017",

publisher = "EUROSIS",

}

RIS

TY - GEN

T1 - Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields

AU - Kargapolova, Nina A.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In this paper, a stochastic model of river flow and daily precipitation conditional fields is considered. This model is based on real data from weather stations situated in Novosibirsk region and gauging stations on Berd' river. Spatial heterogeneity of precipitation distributions is taken into account. Several examples that illustrate dependence of river flow on different precipitation regimes are given.

AB - In this paper, a stochastic model of river flow and daily precipitation conditional fields is considered. This model is based on real data from weather stations situated in Novosibirsk region and gauging stations on Berd' river. Spatial heterogeneity of precipitation distributions is taken into account. Several examples that illustrate dependence of river flow on different precipitation regimes are given.

KW - Conditional field

KW - Multiplicative model

KW - Precipitation

KW - River flow

KW - Stochastic simulation

UR - http://www.scopus.com/inward/record.url?scp=85050016281&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85050016281

SP - 295

EP - 300

BT - 31st Annual European Simulation and Modelling Conference 2017, ESM 2017

PB - EUROSIS

T2 - 31st Annual European Simulation and Modelling Conference, ESM 2017

Y2 - 25 October 2017 through 27 October 2017

ER -

ID: 14883713