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Figure 6 is a plot representing the relative permittivity of concrete with respect to monthly mean weather data over 30 years (from 1981 to 2010) as reported by the Korea Meteorological Administration (Accessed 2017).
The monthly aggregated DF data were merged with the monthly mean weather data for the epidemiological time-series analysis.
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Mean fire weather data for the available fires was 47% relative humidity, 9 km per hr, and 18°C.
Poorer nations often lack the means to use weather data to blunt the effects of natural disasters and to avoid disruptions to food and water supplies.
Overall, we conclude that a relatively small number of automatic air temperature and humidity loggers located within a population represent an effective and cost-effective means of gathering weather data at the local level, on a current and prospective basis.
To investigate the performance of different heat index algorithms under realistic U.S. weather conditions, we collected daily 2011 weather data, including mean air temperature, mean dew point temperature, and mean relative humidity, for the 50 U.S. state capitals from Weather Underground's historical weather data (Weather Underground 2012).
The weather data includes mean of daily temperature, amount of rain precipitation and road surface condition.
The probability that the load would not exceed the system capacity determined on this basis may not match the reliability level that the design weather data were meant to safeguard.
Daily weather data on maximum, mean, and minimum temperatures and relative humidity (RH) were obtained from the Australia Bureau of Meteorology (http://www.bom.gov.au).
This was because the detailed weather data on the mean monthly temperatures and snow cover depth were only available for this area.
To obtain complete weather data for all 100 counties, the missing mean temperature and mean dew point temperature data were imputed by taking the average of the mean temperature and/or mean dew point temperature of all counties that bordered the county that was missing data.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com