Δημοσιεύσεις

Project Acronym: DACEM
Title: Dust Aerosols Climatic Effects over the Mediterranean
Affiliation: national observatory of athens
Pi: Vassiliki Kotroni
Research Field: earth system sciences

Climatology and trends of the Euro-Mediterranean thermal bioclimate
by Giannaros Theodore M., Kotroni Vassiliki, Lagouvardos Konstantinos and Matzarakis Andreas
Abstract:
High-resolution numerical simulations were carried out for the most recent 30-year period (1987–2016), focusing on the Euro-Mediterranean region. A sophisticated thermo-physiologically significant thermal index, namely the physiologically equivalent temperature (PET), was computed for assessing the thermal bioclimate of the study area and for investigating the presence of long-term trends, focusing on bioclimatic extremes. Results indicate that the Euro-Mediterranean thermal bioclimate follows a zonal pattern, upon which topography acts to delineate regional maxima and minima. The conducted time series analysis reveals statistically significant trends that are generally more pronounced for cold extremes. In particular, it is found that the number of days with cold (hot) stress has decreased (increased), with the distribution of PET exhibiting warming of both its cold and warm tail. The south–east Mediterranean and the Balkans are found to be the most responsive to bioclimatic changes, showing coherent and statistically significant warming trends. Overall, the results of this study provide a new point of view of the Euro-Mediterranean climate, which could be of usefulness in a wide range of future applications. The detailed spatio-temporal bioclimatic data could be exploited, for instance, to support applications related to tourism and recreation, highlighting regions with favourable or less favourable thermal comfort conditions. Furthermore, the trend data could be employed for quantifying the vulnerability of certain regions to cold and heat stress, in the context of public health applications.
Reference:
Climatology and trends of the Euro-Mediterranean thermal bioclimate (Giannaros Theodore M., Kotroni Vassiliki, Lagouvardos Konstantinos and Matzarakis Andreas), In International Journal of Climatology, volume 0, 2018.
Bibtex Entry:
@article{doi:10.1002-joc.5501,
 author = {Giannaros Theodore M. and Kotroni Vassiliki and Lagouvardos Konstantinos and Matzarakis Andreas},
 title = {Climatology and trends of the Euro-Mediterranean thermal bioclimate},
 journal = {International Journal of Climatology},
 volume = {0},
 number = {0},
 pages = {},
 year = {2018},
 bibyear = {2018},
 month = {March},
 doi = {10.1002/joc.5501},
 url = {https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.5501},
 eprint = {https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5501},
 abstract = {High-resolution numerical simulations were carried out for the most recent 30-year period (1987–2016), focusing on the Euro-Mediterranean region. A sophisticated thermo-physiologically significant thermal index, namely the physiologically equivalent temperature (PET), was computed for assessing the thermal bioclimate of the study area and for investigating the presence of long-term trends, focusing on bioclimatic extremes. Results indicate that the Euro-Mediterranean thermal bioclimate follows a zonal pattern, upon which topography acts to delineate regional maxima and minima. The conducted time series analysis reveals statistically significant trends that are generally more pronounced for cold extremes. In particular, it is found that the number of days with cold (hot) stress has decreased (increased), with the distribution of PET exhibiting warming of both its cold and warm tail. The south–east Mediterranean and the Balkans are found to be the most responsive to bioclimatic changes, showing coherent and statistically significant warming trends. Overall, the results of this study provide a new point of view of the Euro-Mediterranean climate, which could be of usefulness in a wide range of future applications. The detailed spatio-temporal bioclimatic data could be exploited, for instance, to support applications related to tourism and recreation, highlighting regions with favourable or less favourable thermal comfort conditions. Furthermore, the trend data could be employed for quantifying the vulnerability of certain regions to cold and heat stress, in the context of public health applications.},
}