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Model Bias

The bias represents the difference between the observed climate and the model representation over the historical record.

Here, bias is calculated by comparing the annual observed values and the corresponding ones simulated by climate models averaged over the 1971-2000 period. For temperature, the observed values are simply subtracted from the model estimations. For precipitation, data from both sources is first aggregated as the annual cumulative rainfall, then the bias is computed as a percentage difference. Bias is calculated for individual grid points at the climate model resolution (i.e., ≃11km) then spatially aggregated to the NUTS2 level by taking the median for each region.

The bias calculation is available for all the EURO-CORDEX regional climate models used in the CLIMAAX workflows. The EOBS and ERA5 reanalysis datasets are used as sources for the observed climate. The user is referred to Vautard et al. (2021) for further reading on EURO-CORDEX bias.

Models with smallest bias in each variable

Temperature: no selection

Precipitation: no selection

Model uncertainty

Coming soon...

Majid Niazkar ORCID iD icon and Andrea Rivosecchi ORCID iD icon

The authors acknowledge contributions from Muhammad Faizan Aslam ORCID iD icon and Lisa Ferrari ORCID iD icon for help with data processing.