Non-stationarity (Seasonality and Trends) in Time Series of Meteorological Extreme Events
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 6302
Special Issue Editors
Interests: climate variations and trends in Croatia and Southeastern Europe; application of complex principal component analysis technique in explaining a connection between local meteorological field patterns; air temperature and precipitation, with patterns of large-scale circulation parameters like sea level air pressure; inhomogeneity of climate and hydrological time series; deterministic chaos; drought/wetness study using the Standardized Precipitation Index (SPI) and Palmer Drought Severity Index (PDSI); impact of climate variations and trends on water resources and agriculture
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Interests: boundary-layer meteorology (application of Monin–Obukhov similarity theory for the wind speed estimation in the lower part of the atmospheric surface layer)
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Interests: engineering hydrology; karst hydrology; ecohydrology; climate changes; water resources research
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Special Issue Information
Dear Colleagues,
Meteorological (i.e., weather and climate) observations indicate that climate warming has grown worse in recent decades. It manifests in the increasingly frequent occurrence of extreme meteorological phenomena, including heat waves, intensive precipitation, and dry spells. Not only their frequency, but also their duration and intensity have increased in recent decades. A similar trend of changes is estimated for the next decades of the 21st century. At the same time, the aforementioned changes are accompanied by a decrease in the frequency of cold waves, including cold spells. As theoretical tools for analysis of meteorological extreme event time series usually require their specific characteristics (such as stationarity), strengthening of non-stationarity because of seasonality and trends becomes a big challenge, including estimation of their outlooks for future.
This issue will give preference to studies of any extreme meteorological phenomena, including air temperature and precipitation time series extremes, preferably using probability distributions adopted for a study of historical time series of extreme meteorological events under conditions of non-stationarity.
As extreme meteorological events produce great economic losses, the articles presented in this issue could be useful for a broad and diverse group of recipients.
Dr. Kreso Pandzic
Dr. Tanja Likso
Prof. Dr. Ognjen Bonacci
Guest Editors
Manuscript Submission Information
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Keywords
- extreme weather and climate phenomena
- non-stationarity of time series
- probability distributions
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