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Stochastic models of non-stationary time series of the average daily heat index. / Kargapolova, Nina.

SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. ред. / Mohammad Obaidat; Mohammad Obaidat; Tuncer Oren; Helena Szczerbicka. SciTePress, 2019. стр. 209-215 (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Kargapolova, N 2019, Stochastic models of non-stationary time series of the average daily heat index. в M Obaidat, M Obaidat, T Oren & H Szczerbicka (ред.), SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SciTePress, стр. 209-215, 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019, Prague, Чехия, 29.07.2019. https://doi.org/10.5220/0007788502090215

APA

Kargapolova, N. (2019). Stochastic models of non-stationary time series of the average daily heat index. в M. Obaidat, M. Obaidat, T. Oren, & H. Szczerbicka (Ред.), SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (стр. 209-215). (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications). SciTePress. https://doi.org/10.5220/0007788502090215

Vancouver

Kargapolova N. Stochastic models of non-stationary time series of the average daily heat index. в Obaidat M, Obaidat M, Oren T, Szczerbicka H, Редакторы, SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress. 2019. стр. 209-215. (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications). doi: 10.5220/0007788502090215

Author

Kargapolova, Nina. / Stochastic models of non-stationary time series of the average daily heat index. SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Редактор / Mohammad Obaidat ; Mohammad Obaidat ; Tuncer Oren ; Helena Szczerbicka. SciTePress, 2019. стр. 209-215 (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).

BibTeX

@inproceedings{4b2aaf7d759e434483207f551f1bd5a7,
title = "Stochastic models of non-stationary time series of the average daily heat index",
abstract = "In this paper two numerical stochastic models of time series of the average daily heat index are considered. In the first model, time series of the heat index are constructed as a function of simulated joint nonstationary time series of air temperature and relative humidity. The second model is constructed under the assumption that time series of the heat index are non-stationary non-Gaussian random processes. Data from real observations at weather stations were used for estimating models{\textquoteright} parameters. On the basis of the simulated trajectories, some statistical properties of rare meteorological events, like long periods of time with high heat index, are studied.",
keywords = "Air Temperature, Heat Index, Model Validation, Non-stationary Random Process, Relative Humidity, Stochastic Simulation",
author = "Nina Kargapolova",
note = "Publisher Copyright: Copyright {\textcopyright} 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019 ; Conference date: 29-07-2019 Through 31-07-2019",
year = "2019",
month = jan,
day = "1",
doi = "10.5220/0007788502090215",
language = "English",
series = "SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications",
publisher = "SciTePress",
pages = "209--215",
editor = "Mohammad Obaidat and Mohammad Obaidat and Tuncer Oren and Helena Szczerbicka",
booktitle = "SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications",

}

RIS

TY - GEN

T1 - Stochastic models of non-stationary time series of the average daily heat index

AU - Kargapolova, Nina

N1 - Publisher Copyright: Copyright © 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - In this paper two numerical stochastic models of time series of the average daily heat index are considered. In the first model, time series of the heat index are constructed as a function of simulated joint nonstationary time series of air temperature and relative humidity. The second model is constructed under the assumption that time series of the heat index are non-stationary non-Gaussian random processes. Data from real observations at weather stations were used for estimating models’ parameters. On the basis of the simulated trajectories, some statistical properties of rare meteorological events, like long periods of time with high heat index, are studied.

AB - In this paper two numerical stochastic models of time series of the average daily heat index are considered. In the first model, time series of the heat index are constructed as a function of simulated joint nonstationary time series of air temperature and relative humidity. The second model is constructed under the assumption that time series of the heat index are non-stationary non-Gaussian random processes. Data from real observations at weather stations were used for estimating models’ parameters. On the basis of the simulated trajectories, some statistical properties of rare meteorological events, like long periods of time with high heat index, are studied.

KW - Air Temperature

KW - Heat Index

KW - Model Validation

KW - Non-stationary Random Process

KW - Relative Humidity

KW - Stochastic Simulation

UR - http://www.scopus.com/inward/record.url?scp=85073110954&partnerID=8YFLogxK

U2 - 10.5220/0007788502090215

DO - 10.5220/0007788502090215

M3 - Conference contribution

T3 - SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

SP - 209

EP - 215

BT - SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

A2 - Obaidat, Mohammad

A2 - Obaidat, Mohammad

A2 - Oren, Tuncer

A2 - Szczerbicka, Helena

PB - SciTePress

T2 - 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019

Y2 - 29 July 2019 through 31 July 2019

ER -

ID: 21861450