Standard
Monte carlo simulation of non-stationary air temperature time-series. / Kargapolova, Nina.
SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. ed. / Floriano De Rango; Tuncer Oren; Mohammad S. Obaidat; Mohammad S. Obaidat. SciTePress, 2018. p. 323-329 (SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Kargapolova, N 2018,
Monte carlo simulation of non-stationary air temperature time-series. in F De Rango, T Oren, MS Obaidat & MS Obaidat (eds),
SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SciTePress, pp. 323-329, 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018, Porto, Portugal,
29.07.2018.
https://doi.org/10.5220/0006833403230329
APA
Vancouver
Kargapolova N.
Monte carlo simulation of non-stationary air temperature time-series. In De Rango F, Oren T, Obaidat MS, Obaidat MS, editors, SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress. 2018. p. 323-329. (SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications). doi: 10.5220/0006833403230329
Author
Kargapolova, Nina. /
Monte carlo simulation of non-stationary air temperature time-series. SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. editor / Floriano De Rango ; Tuncer Oren ; Mohammad S. Obaidat ; Mohammad S. Obaidat. SciTePress, 2018. pp. 323-329 (SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).
BibTeX
@inproceedings{dd07b7f9af4f49deb42a297ee3c5113e,
title = "Monte carlo simulation of non-stationary air temperature time-series",
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.",
keywords = "Air temperature, Model validation, Non-stationary random process, Periodically correlated process, Stochastic simulation, Temperature extremes",
author = "Nina Kargapolova",
year = "2018",
month = jan,
day = "1",
doi = "10.5220/0006833403230329",
language = "English",
series = "SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications",
publisher = "SciTePress",
pages = "323--329",
editor = "{De Rango}, Floriano and Tuncer Oren and Obaidat, {Mohammad S.} and Obaidat, {Mohammad S.}",
booktitle = "SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications",
note = "8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018 ; Conference date: 29-07-2018 Through 31-07-2018",
}
RIS
TY - GEN
T1 - Monte carlo simulation of non-stationary air temperature time-series
AU - Kargapolova, Nina
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Air temperature
KW - Model validation
KW - Non-stationary random process
KW - Periodically correlated process
KW - Stochastic simulation
KW - Temperature extremes
UR - http://www.scopus.com/inward/record.url?scp=85058422737&partnerID=8YFLogxK
U2 - 10.5220/0006833403230329
DO - 10.5220/0006833403230329
M3 - Conference contribution
AN - SCOPUS:85058422737
T3 - SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
SP - 323
EP - 329
BT - SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
A2 - De Rango, Floriano
A2 - Oren, Tuncer
A2 - Obaidat, Mohammad S.
A2 - Obaidat, Mohammad S.
PB - SciTePress
T2 - 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018
Y2 - 29 July 2018 through 31 July 2018
ER -
