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

Nina A. Kargapolova

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

Кафедра вычислительной математики ММФ

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

Аннотация

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.

Язык оригинала	английский
Название основной публикации	31st Annual European Simulation and Modelling Conference 2017, ESM 2017
Издатель	EUROSIS
Страницы	295-300
Число страниц	6
ISBN (электронное издание)	9789492859006
Состояние	Опубликовано - 1 янв. 2017
Событие	31st Annual European Simulation and Modelling Conference, ESM 2017 - Lisbon, Португалия Продолжительность: 25 окт. 2017 → 27 окт. 2017

Конференция

Конференция	31st Annual European Simulation and Modelling Conference, ESM 2017
Страна/Tерритория	Португалия
Город	Lisbon
Период	25.10.2017 → 27.10.2017

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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.}",

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year = "2017",

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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. стр. 295-300.

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

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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.

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KW - Multiplicative model

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KW - River flow

KW - Stochastic simulation

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

PB - EUROSIS

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

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