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

Computational Mathematics Section

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

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.

Original language	English
Title of host publication	31st Annual European Simulation and Modelling Conference 2017, ESM 2017
Publisher	EUROSIS
Pages	295-300
Number of pages	6
ISBN (Electronic)	9789492859006
Publication status	Published - 1 Jan 2017
Event	31st Annual European Simulation and Modelling Conference, ESM 2017 - Lisbon, Portugal Duration: 25 Oct 2017 → 27 Oct 2017

Conference

Conference	31st Annual European Simulation and Modelling Conference, ESM 2017
Country	Portugal
City	Lisbon
Period	25.10.2017 → 27.10.2017

Keywords

Conditional field
Multiplicative model
Precipitation
River flow
Stochastic simulation

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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.",

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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

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

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