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C3S-CMIP5-Adjust @ IPSL


A high-resolution climate projections dataset obtained by statistically downscaling climate projections from the CMIP5 experiment using the ERA5 reanalysis from the Copernicus Climate Change Service. This global dataset has a spatial resolution of 0.25°x 0.25°, comprises 21 climate models and includes 5 surface daily variables at monthly resolution: air temperature (mean, minimum, and maximum), precipitation, and mean near-surface wind speed. Two greenhouse gas emissions scenarios are available: one with mitigation policy (RCP4.5) and one without mitigation (RCP8.5). The downscaling method is a Quantile Mapping method (QM) called the Cumulative Distribution Function transform (CDF-t) method that was first used for wind values and is now referenced in dozens of peer-reviewed publications. The data processing includes quality control of metadata according to the climate modelling community standards and value checking for outlier detection.


Noël et al. (2020). A High-resolution downscaled CMIP5 projections dataset of essential surface climate variables over the globe coherent with the ERA5 5 reanalysis for climate change impact assessments.

How to search for CMIP5-Adjust data?

  1. Create your ESGF Account (create account) or log in by selecting the IPSL as your OpenID provider.
  2. Contact TCDF data manger to request access (only for public research institutions).
  3. The facetted data search is then accessible from the "Search and Download Data" widget on the right of the page through the "Search with options" link.
  4. On this Data Search Interface please check the different facets values you want to discover the available CMIP5-Adjust data. To know more about the Data Reference Syntax used by CMIP5-Adjust, please refer to the Data Reference Syntax.

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Last Update: July 26, 2022, 3:31 p.m. by Admin User
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