### 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’ 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.

Original language | English |
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Title of host publication | SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications |

Editors | Mohammad Obaidat, Mohammad Obaidat, Tuncer Oren, Helena Szczerbicka |

Publisher | SciTePress |

Pages | 209-215 |

Number of pages | 7 |

ISBN (Electronic) | 9789897583810 |

Publication status | Published - 1 Jan 2019 |

Event | 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019 - Prague, Czech Republic Duration: 29 Jul 2019 → 31 Jul 2019 |

### Publication series

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

Conference | 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019 |
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Country | Czech Republic |

City | Prague |

Period | 29.07.2019 → 31.07.2019 |

### Keywords

- Air Temperature
- Heat Index
- Model Validation
- Non-stationary Random Process
- Relative Humidity
- Stochastic Simulation

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## Cite this

*SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications*(pp. 209-215). (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications). SciTePress.