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

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

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.

Язык оригиналаанглийский
Название основной публикацииSIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
РедакторыMohammad Obaidat, Mohammad Obaidat, Tuncer Oren, Helena Szczerbicka
ИздательSciTePress
Страницы209-215
Число страниц7
ISBN (электронное издание)9789897583810
СостояниеОпубликовано - 1 янв 2019
Событие9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019 - Prague, Чехия
Продолжительность: 29 июл 201931 июл 2019

Серия публикаций

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

Конференция

Конференция9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2019
СтранаЧехия
ГородPrague
Период29.07.201931.07.2019

Fingerprint Подробные сведения о темах исследования «Stochastic models of non-stationary time series of the average daily heat index». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать