This work is taken up to evaluate the relationship between the thermal comfort of spectators and athletes and the prevailing meteorological conditions during Rio 2016 Olympic Games. Empirical and physiological thermal comfort indices are calculated from data collected from an automatic weather station installed near the Olympic Stadium and interviews with the spectators. The study period was marked by a gradual rise in air temperature and by the occurrence of two significant weather events associated with wind gusts, which caused disturbances in some areas of the competitions. ET and NET were below the air temperature, indicating that both humidity and wind contributed to the reduction of the human-biometeorological indices. Majority of the interviewed persons reported comfortable sensation and weather conditions. These perceptions corroborate results of the thermal comfort indices calculated for these resting spectators. The comfort indices calculated for the athletes with high level of physical activity showed that PET estimated hotter thermal sensation those for the individuals at rest, indicating that the physical type of a person may strongly influence the thermal sensation and comfort during intense physical activity. Increasing trend observed in all the indices of human thermal comfort during the period of study shows consistency among them.
This paper aims to evaluate of the WRF model to simulate the instability indices during storms springs with El Niño/Southern Oscillation in four cities of Southern Brazil: Curitiba, Florianópolis, Foz do Iguaçu and Porto Alegre. The K and TT values were satisfactorily simulated and LI index were reasonably simulated by WRF. The values of CAPE showed the largest differences compared with observations. When we analyzed the behavior of K, TT and LI indices with the METAR code, it was observed that the simulated extreme values by WRF occurred at times to unstable weather records in the airports.
This paper aims to evaluate of the WRF model to simulate the instability indices during storms springs with El Niño/Southern Oscillation in four cities of Southern Brazil: Curitiba, Florianópolis, Foz do Iguaçu and Porto Alegre. The K and TT values were satisfactorily simulated and LI index were reasonably simulated by WRF. The values of CAPE showed the largest differences compared with observations. When we analyzed the behavior of K, TT and LI indices with the METAR code, it was observed that the simulated extreme values by WRF occurred at times to unstable weather records in the airports.
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