IntroductionA scientific evaluation of the worldwide CORDEX dataset and some selected CMIP5/CMIP6 data for Europe is shown in this page. The main goal is to provide homogeneous information across the different CORDEX domains and regions.
GuidanceThe two evaluation products (diagnostics and validation) are defined below, along with the list of evaluated and reference datasets.
- Diagnostics: statistics obtained directly from model data providing a graphical overview suitable to identify anomalous values and/or outliers in the data and/or models that deviate from the other available simulations.
Validation: indices comparing model data to reference observations to provide objective measures of model performance. This also provides information on the merits and limitations of the simulations.
The evaluated datasets:
- Worldwide CORDEX model data including all CORDEX domains except the Mediterranean.
- Some selected global CMIP5 model data.
- Some selected global CMIP6 model data.
The reference datasets for the validation:
The main elements of the plots:
Domain: CORDEX domains are regions for which the regional downscaling is taking place, for example African domain (AFR) covers the whole of the African continent. Note that the Mediterranean domain is not included in the analysis.
Region: Reference regions correspond to climatic sub-areas where the results are aggregated (Iturbide et al. 2020). Here the last version (v4) of the reference regions is used.
Variable: available climatic variables are: tas (mean near-surface air temperature, units: K); pr (precipitation, units: kg m-2 s-1); tasmax (maximum near-surface air temperature, units: K); tasmin (minimum near-surface air temperature, units: K); sfcWind (near-surface wind speed, units: m s-1) and huss (near-surface specific humidity, units: 1).
Metric: some metrics are calculated which characterize various aspects/dimensions which are relevant for practical applications (e.g. mean value, dry spells, or 98th percentile). These are built on the VALUE initiative.
Scenario: scenarios available are: Evaluation (model simulations for the past with imposed "perfect" lateral boundary condition using ERA-Interim reanalysis); Historical (model simulations for the past using lateral boundary conditions from CMIP5 simulations under the historical scenario); experiments RCP 2.6, RCP 4.5 and RCP 8.5 (simulations driven by boundary conditions from CMIP5 scenario projections using RCP (Representative Concentration Pathways) forcing scenarios; experiments SSP1-2.6, SSP2-4.5 and SSP5-8.5 simulations for CMIP6 scenario projections using the SSP (Shared Socioeconomic Pathway) forcing scenarios.
Index: period where the CMIP6 delta changes (difference between the future and past simulations) are calculated for Europe (medium-term and long-term periods correspond to the periods 2036-2065 and 2070-2099 respectively, the past reference period is 1981-2010).
More information about the details of the plots and their interpretation, please see at CORDEX: Regional climate projections - Background documents and user guides
The results have been developed in the framework of the C3S contracts C3S_34d and C3S_34b Lot 2. For the CMIP plots, see more details at Katharina Bülow and Ludwig Lierhammer (2022): cmip5 cmip6 euro-cordex plotting routines and data: v0.1.0 (v0.1.0). Zenodo, https://doi.org/10.5281/zenodo.5925641
Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., Hersbach, H., and Buontempo, C., 2020: WFDE5: bias-adjusted ERA5 reanalysis data for impact studies, Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020.
, and Coauthors, 2020: The ERA5 global reanalysis Quart. J. Roy. Meteor. Soc., 146, 1999– 2049. https://doi.org/10.1002/qj.3803.
Iturbide, M., and Coauthors, 2020: An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets, Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020.
, , & 2019: Statistical downscaling skill under present climate conditions: A synthesis of the VALUE perfect predictor experiment. International Journal of Climatology, 9, 3692– 3703, https://doi.org/10.1002/joc.5877.