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Author: Nina Kargapolova

Affiliation: Laboratory of Stochastic Problems, Institute of Computational Mathematics and Mathematical Geophysics, Pr. Ak. Lavrent’eva 6, Novosibirsk, Russia, Department of Mathematics and Mechanics, Novosibirsk State University, Pirogov St. 2, Novosibirsk and Russia

ISBN: 978-989-758-323-0

Keyword(s): Stochastic Simulation, Non-stationary Random Process, Periodically Correlated Process, Air Temperature, Temperature Extremes, Model Validation.

Related Ontology Subjects/Areas/Topics: Complex Systems Modeling and Simulation ; Environmental Modeling ; Formal Methods ; Mathematical Simulation ; Simulation and Modeling ; Stochastic Modeling and Simulation

Abstract: Two numerical stochastic models of air temperature time-series are considered in this paper. The first model is constructed under the assumption that time-series are nonstationary. In the second model air temperature time-series are considered as a periodically correlated random processes. Data from real observations on weather stations was used for estimation of models’ parameters. On the basis of simulated trajectories, some statistical properties of rare meteorological events, like sharp temperature drops or long-term temperature decreases in summer, are studied.

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Paper citation in several formats:
Kargapolova, N. (2018). Monte Carlo Simulation of Non-stationary Air Temperature Time-Series.In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-323-0, pages 323-329. DOI: 10.5220/0006833403230329

@conference{simultech18,
author={Nina Kargapolova.},
title={Monte Carlo Simulation of Non-stationary Air Temperature Time-Series},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2018},
pages={323-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006833403230329},
isbn={978-989-758-323-0},
}

TY - CONF

JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Monte Carlo Simulation of Non-stationary Air Temperature Time-Series
SN - 978-989-758-323-0
AU - Kargapolova, N.
PY - 2018
SP - 323
EP - 329
DO - 10.5220/0006833403230329

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