@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",

year = "2019",

month = jan,

day = "1",

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",

note = "9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019 ; Conference date: 29-07-2019 Through 31-07-2019",

}