Relative Humidity

DATASET DESCRIPTION

The daily relative humidity data at 2 meters above the surface over Ontario are provided from 1996 to 2023. These data are available in full-coverage gridded maps with two spatial resolution (0.01° x 0.01° and 0.1° x 0.1°). The relative humidity data are derived from the ERA5-Land reanalysis dataset, which combines model data with global observations to create a consistent and comprehensive dataset.

The dataset offers insights into the moisture content in the air, a crucial factor in understanding the weather patterns and environmental conditions. Higher relative humidity can influence weather events, such as precipitation and affect human comfort and health. The accuracy of the ERA5 weather data is validated in Muñoz-Sabater et al. (2021).

Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021.

DATA SOURCE
Data Sources: 41.7 – 56.9N, 74.3-95.2W 
Coordinate System: GCS_WGS84 – EPSG:4326 
Spatial Resolution: 0.01° x 0.01° 
Data Preparation Date: August 2023 
Data Format: in GeoTIFF
Sampling Frequency of Data: Daily 
Years Available: 1996 to 2023 
VARIABLES
  • Daily relative humidity (%)
  • Postal codes
CONTACT
  • Dataset Creator: Zang Zou 
  • Email: joey.zang@mail.utoronto.ca
  • Affiliated Organization:  Ge-iSEE Lab, University of Toronto, Ontario, Canada

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