In-situ relative humidity and air temperature urban microclimate data
Data files
Sep 26, 2023 version files 2.79 MB
Abstract
Monitoring and understanding the variability of heat within cities is important for urban planning and public health, and there has been a growth in the number of studies measuring intra-urban temperature variability. Recognizing that the physiological effects of heat depend on humidity as well as temperature, some of these measurement campaigns have included measurements of relative humidity alongside temperature. Reported analyses, however, have not reported whether spatial structure in humidity, independent from temperature, contributes significantly to intra-urban heat variability. Here we use summer temperature and humidity from networks of stationary sensors in multiple cities in the USA to examine this issue. It is shown that although there are spatial variations in relative humidity there are only very weak spatial variations in the absolute humidity within these cities. This variability in absolute humidity plays an insignificant role in the spatial variability of the heat index and humidex, and the spatial variability of the heat metrics is dominated by temperature variability. A practical consequence of this is that a network of sensors that only measure temperature is sufficient to quantify the spatial variability of heat across these cities when combined with humidity measured at a single location, allowing for lower-cost heat monitoring networks.
README: Relative Humidity and Air Temperature for Eight U.S. Cities
https://doi.org/10.5061/dryad.m63xsj47v
Dataset include spreadsheets of in-situ relative humidity and air temperature at 80-100 microsites located in eight U.S cities (Baltimore, Denver, Las Vegas, Los Angeles, Miami, Phoenix, Portland, Tucson).Microclimate was recorded for every hour over three months during 2017-2019. A metadata excel sheet includes the geolocations and ID numbers for each sensor, as well as the NDVI at each location.
Description of the data and file structure
Relative humidity and air temperature data is provided in .csv's for each city. In each .csv the columns provide the Date and Hour of data recording and the SensorID of a specific sensor. Each row is one hour's recording of microclimate within that city. The metadata excel spreadsheet includes the geolocation for each sensorID.
This data can be used to map out the relative humidity and air temperature within the eight United States cities (Baltimore, Denver, Las Vegas, Los Angeles, Miami, Phoenix, Portland, Tucson). All data is associate with a specific iButton sensor which was hung inside the crown of a tree. All locations are geo referenced and time stamped to the hour and date.
.
Methods
Data was collected on Thermocron iButtons placed at 2 m height within trees in each of the cities.