Conditional stochastic model of daily precipitation and river flow joint spatial field

Nina A. Kargapolova; Vasily A. Ogorodnikov

Conditional stochastic model of daily precipitation and river flow joint spatial field

Nina A. Kargapolova, Vasily A. Ogorodnikov

Computational Mathematics Section

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

1 Citation (Scopus)

Abstract

In this paper a stochastic model of river flow and daily precipitation joint fields is suggested. 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.

Original language	English
Title of host publication	4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017
Publisher	Novosibirsk State Technical University
Pages	298-302
Number of pages	5
ISBN (Print)	9780000000002
Publication status	Published - 1 Jan 2017

Keywords

Daily precipitation
Heteroge-neous field
River flow
Stochastic simulation

Access to Document

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Conditional stochastic model of daily precipitation and river flow joint spatial field'. Together they form a unique fingerprint.

Cite this

@inproceedings{d5ebd73152a1499880baccbdc74aa30f,

title = "Conditional stochastic model of daily precipitation and river flow joint spatial field",

abstract = "In this paper a stochastic model of river flow and daily precipitation joint fields is suggested. 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.",

keywords = "Daily precipitation, Heteroge-neous field, River flow, Stochastic simulation",

author = "Kargapolova, {Nina A.} and Ogorodnikov, {Vasily A.}",

year = "2017",

month = jan,

day = "1",

language = "English",

isbn = "9780000000002",

pages = "298--302",

booktitle = "4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017",

publisher = "Novosibirsk State Technical University",

}

Conditional stochastic model of daily precipitation and river flow joint spatial field. / Kargapolova, Nina A.; Ogorodnikov, Vasily A.

4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017. Novosibirsk State Technical University, 2017. p. 298-302.

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

TY - GEN

T1 - Conditional stochastic model of daily precipitation and river flow joint spatial field

AU - Kargapolova, Nina A.

AU - Ogorodnikov, Vasily A.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In this paper a stochastic model of river flow and daily precipitation joint fields is suggested. 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.

AB - In this paper a stochastic model of river flow and daily precipitation joint fields is suggested. 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.

KW - Daily precipitation

KW - Heteroge-neous field

KW - River flow

KW - Stochastic simulation

UR - http://www.scopus.com/inward/record.url?scp=85044330924&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85044330924

SN - 9780000000002

SP - 298

EP - 302

BT - 4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017

PB - Novosibirsk State Technical University

ER -