Input Datasets

Input Datasets#

CMIP6 raw datasets#

The downscaled datasets shown here are derived from results from the Coupled Model Intercomparison Project Phase 6. Raw datasets are also available in the web catalog (labeled “Raw”). GCMs are run at different spatial resolutions, and the data presented here are displayed in their original spatial resolution. The raw CMIP6 datasets were accessed via the Pangeo data catalog.

ERA5 Reanalysis#

All downscaled datasets here were trained on the ERA5 global reanalysis product at the 0.25 degree (~25 km) spatial resolution. All downscaling methods used daily temperature maxima and minima and precipitation for the period 1981-2010. One algorithm (GARD-MV) also used wind.

This dataset can be accessed/explored via an intake catalog.

# !pip install intake-esm

import intake
cat = intake.open_esm_datastore("https://cmip6downscaling.blob.core.windows.net/training/ERA5-azure.json")

The ERA5 data transfering and processing scripts can be found on Github.

The ECMWF ERA5 dataset was produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) and is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). https://apps.ecmwf.int/datasets/licences/general/

CMIP6 raw datasets#

The downscaled datasets shown here are derived from results from the Coupled Model Intercomparison Project Phase 6. Raw datasets are also available in the web catalog (labeled “Raw”). GCMs are run at different spatial resolutions, and the data presented here are displayed in their original spatial resolution. The raw CMIP6 datasets were accessed via the Pangeo data catalog.

The transfer script can be found here

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