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*MAP = mean annual precipitation, MAT = mean annual temperature, Thot = temperature of the hottest month, Tcola = temperature of the coldest month, Tmonio = number of months where the temperature is above 10, Pary = precipitation of the driest month, Psary = precipitation of the driest month in summer, Pwary = precipitation of the driest month in winter, Pswet = precipitation of the wettest month in summer, Pwwet = precipitation of the wettest month in winter, Pthreshola = Varies according to the following rules (if 70% of MAP occurs in winter then Pthreshola = 2 x MAT, if 70% of MAP occurs in summer then Pthreshola = 2 X MAT + 28, otherwise Pthreshola = 2 X MAT + 14). Summer (winter) is defined as the warmer (cooler) six-month period of ONDJFM and AMJJAS. Table. 1 - Description of the K6ppen-Geiger climate symbols and defining criteria (Peel et al., 2007).

Table 1 *MAP = mean annual precipitation, MAT = mean annual temperature, Thot = temperature of the hottest month, Tcola = temperature of the coldest month, Tmonio = number of months where the temperature is above 10, Pary = precipitation of the driest month, Psary = precipitation of the driest month in summer, Pwary = precipitation of the driest month in winter, Pswet = precipitation of the wettest month in summer, Pwwet = precipitation of the wettest month in winter, Pthreshola = Varies according to the following rules (if 70% of MAP occurs in winter then Pthreshola = 2 x MAT, if 70% of MAP occurs in summer then Pthreshola = 2 X MAT + 28, otherwise Pthreshola = 2 X MAT + 14). Summer (winter) is defined as the warmer (cooler) six-month period of ONDJFM and AMJJAS. Table. 1 - Description of the K6ppen-Geiger climate symbols and defining criteria (Peel et al., 2007).

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www.elsevier.convlocate/envres S0013-9351(18)30373-6 https://doi.org/10.1016/j.envres.2018.07.011 YENRS7995
www.elsevier.convlocate/envres S0013-9351(18)30373-6 https://doi.org/10.1016/j.envres.2018.07.011 YENRS7995
Fig. 1 — Orographic map of Italy, areas with a higher density and Italian climates according to the K6ppen-Geiger classification.
Fig. 1 — Orographic map of Italy, areas with a higher density and Italian climates according to the K6ppen-Geiger classification.
* (Geerts, 2015) - ** (Koppen et al., 2011) Table. 2 — Cities chosen for the specific analysis of the data.
* (Geerts, 2015) - ** (Koppen et al., 2011) Table. 2 — Cities chosen for the specific analysis of the data.
Table. 3 - Results characterizing the cities examined. January, February; ii) spring: March, April, May; iii) Summer; June, July, August; iv) Autumn:
Table. 3 - Results characterizing the cities examined. January, February; ii) spring: March, April, May; iii) Summer; June, July, August; iv) Autumn:
representative of thermal comfort (Salata et al., 2016), whereas the continuous line These graphs report, between two dotted lines, the range of the values considered as
representative of thermal comfort (Salata et al., 2016), whereas the continuous line These graphs report, between two dotted lines, the range of the values considered as
Fig. 4 - Weekly average values and average of the daily peak values during one year of the thermal perception
Fig. 4 - Weekly average values and average of the daily peak values during one year of the thermal perception
Fig. 5 - MOCI frequencies in the cities examined. The frequencies are calculated using hourly data and are he year in each area, hence examine the possibility to find comfort conditions for a
Fig. 5 - MOCI frequencies in the cities examined. The frequencies are calculated using hourly data and are he year in each area, hence examine the possibility to find comfort conditions for a
Fig. 6 - MOCI variations of percentiles in the cities examined. examined week will be.
Fig. 6 - MOCI variations of percentiles in the cities examined. examined week will be.
Fig. 7 - Percentages for each continent of the different types of areas examined according to the seasonal average areas which are part of these categories.
Fig. 7 - Percentages for each continent of the different types of areas examined according to the seasonal average areas which are part of these categories.
MOCI: SEASONAL AVERAGE VALUE reports for each season the average value of the MOCI across the world.
MOCI: SEASONAL AVERAGE VALUE reports for each season the average value of the MOCI across the world.
MOCTI: Average weekly value to those climatic conditions.
MOCTI: Average weekly value to those climatic conditions.
MOCTI: N° of day without thermal stress What follows is the spatial map showing the sum of the days in one year where the MOC] is in 6.1 Temporal analysis in the areas examined ig. 9 — Spatial maps of the extreme values (which are not simultaneous) of the weekly average of the MOCI for the continents
MOCTI: N° of day without thermal stress What follows is the spatial map showing the sum of the days in one year where the MOC] is in 6.1 Temporal analysis in the areas examined ig. 9 — Spatial maps of the extreme values (which are not simultaneous) of the weekly average of the MOCI for the continents
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ChemistryPerceptionMedicineThermal comfort
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