Visualization of Climate Factors for Sports Events and Activities–The Tokyo 2020 Olympic Games
Abstract
:1. Introduction
2. Methodology and Data
2.1. Study Area
2.2. Methods
2.2.1. Physiologically Equivalent Temperature (PET)
2.2.2. RayMan Model
2.2.3. Meteorological Data
2.2.4. CTIS
3. Results
3.1. Frequencies of PET Classes
3.2. Frequencies of Precipitation
3.3. CTIS
4. Discussion and Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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PET (°C) | Thermal Perception | Grade of Physical Stress |
---|---|---|
<4 | Very cold | Extreme cold stress |
4–8 | Cold | Strong cold stress |
8–13 | Cool | Moderate cold stress |
13–18 | Slightly cool | Slight cold stress |
18–23 | Comfortable | No thermal stress |
23–29 | Slightly warm | Slight heat stress |
29–35 | Warm | Moderate heat stress |
35–41 | Hot | Strong heat stress |
>41 | Very hot | Extreme heat stress |
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Matzarakis, A.; Fröhlich, D.; Bermon, S.; Adami, P.E. Visualization of Climate Factors for Sports Events and Activities–The Tokyo 2020 Olympic Games. Atmosphere 2019, 10, 572. https://doi.org/10.3390/atmos10100572
Matzarakis A, Fröhlich D, Bermon S, Adami PE. Visualization of Climate Factors for Sports Events and Activities–The Tokyo 2020 Olympic Games. Atmosphere. 2019; 10(10):572. https://doi.org/10.3390/atmos10100572
Chicago/Turabian StyleMatzarakis, Andreas, Dominik Fröhlich, Stéphane Bermon, and Paolo Emilio Adami. 2019. "Visualization of Climate Factors for Sports Events and Activities–The Tokyo 2020 Olympic Games" Atmosphere 10, no. 10: 572. https://doi.org/10.3390/atmos10100572