4.5 Article

The influence of weather types over northern Greece on respiratory and cardio-vascular mortality

Journal

INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
Volume 67, Issue 2, Pages 355-366

Publisher

SPRINGER
DOI: 10.1007/s00484-022-02414-y

Keywords

Weather types; weather-related mortality; PI-sign test; principal components analysis; cluster analysis

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The aim of this study is to identify the association between weather types and mortality from circulatory and respiratory diseases in Thessaloniki, Greece, in order to determine the comprehensive impact of weather on cause-specific mortality in the region. The study utilized 41 years of data from 1980 to 2020 and employed principal components analysis and cluster analysis to classify weather types based on similar meteorological parameters. The results showed that the population health in Thessaloniki is most vulnerable to low/extremely low ambient temperatures.
Extreme ambient temperatures are well-known for their adverse impact on public health, in the form of increased mortality and morbidity due to respiratory and cardio-vascular diseases. However, to capture the total impact of weather on cause specific mortality/morbidity, the synoptic atmospheric conditions over the region under study need to be taken into account. The objective of this work is to identify weather types over Thessaloniki, Greece, statistically associated with mortality from circulatory and respiratory diseases, in an attempt to holistically determine the impact of weather on cause-specific mortality in the region. For this purpose, we employed datasets from the NCEP/NCAR Reanalysis comprising intrinsic daily data, gridded at a resolution of 2.5 degrees x2.5 degrees and covering a 41-year period (1980-2020). The first set used contains data of 500 hPa and 1,000 hPa geopotential heights for the main geographical domain of the Mediterranean region (30 degrees N-45 degrees N, 10 degrees epsilon-35 degrees E). The second set comprises meteorological variables (2 m temperature, specific humidity, 2 m zonal and 2 m meridional wind and total cloud cover) for a geographical domain of north Greece (40.95 degrees Nu, 22.50 degrees epsilon-26.25 degrees E). We applied a combination of principal components analysis (PCA) as a dimensionality reduction tool and k-means cluster analysis (CA) in order to group days with homogeneous synoptic meteorological parameters. The derived weather types were statistically correlated with respiratory and mortality data for the time-period 1999-2018. It was concluded that the most fatal conditions for public health in Thessaloniki were associated with weather types bringing low/extremely low ambient temperature over north Greece.

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