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Di Napoli C, Barnard C, Prudhomme C, Cloke HL and Pappenberger F (2021) ERA5-HEAT: A global gridded historical dataset of human thermal comfort indices from climate reanalysis. Geoscience Data Journal 8: 2–10. https://doi.org/10.1002/gdj3.102 |
Methodology
The process to generate this dataset involves:e
- Fetching UTCI data in NetCDF format.
- Written to an ARCO Zarr archive (which is similar in structure to netCDF)
- The CDS requests the data from the Zarr archive using xarray and writes the data to netCDF or CSV (as requested).
Data organization and access
The ARCO data is stored as Zarr datacubes.
The data is now available from the Climate Data Store (CDS), either interactively through its download web form or programmatically using the CDS API service:
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Thermal comfort indices time-series derived from ERA5 reanalysis
Spatial grid
The parameters have a grid of 0.25 degrees.
Please be aware when you select a "Location" on the form, the latitude and longitude values are rounded to the closest neighbourhood point of the 0.25 degrees grid.
Temporal frequency
Temporal frequency of the data is hourly and every day has 24 hourly steps.
Data format
In the CDS, there are the options of retrieving the data in netCDF format or CSV format.
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Thermal comfort indices descriptions
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