The UrbClim model (De Ridder et al., 2015) is used to produce meteorological information at very high spatial and temporal resolution over 142 cities all over the world.
Details on the methodology, input datasets, and validation of the data can be found in the following papers:
Each city is represented in a single folder indicated by its name. The following variables are made available:
All data is available at 100m spatial resolution and daily time scale for the period 2008–2017 in NetCDF4 format. Each year is stored in a separate file.
Each NetCDF file contains metadata describing domain, variables, units, and the coordinate reference system. The projection varies by region — please verify it before using the data.
This work was executed under several projects:
In browser: Click directly on file records below to download them.
Via Curl:curl -O https://provide.marvin.vito.be/ftp/compressed_daily/[city]/[filename].nc
Via Wget:wget -r -np -nH --cut-dirs=2 https://provide.marvin.vito.be/ftp/compressed_daily/[city]
Via Python: A script download_data.py is provided.
Derived decadal heat stress indicator maps are visualised in the following viewer:
https://climate-risk-dashboard.climateanalytics.org/
The maps (in PNG and GeoTIFF) can be downloaded individually there or in bulk per country:
Hourly data is available upon request via the email address below.
More information on UrbClim and VITO Climate Team products:
If you're interested in data for other cities, feel free to submit a request:
Or email us at: urbclim@vito.be