Sub-Selection of CMIP6 Models tailored for Climate Impact Assessments in Greece
- 1Technical University of Crete, School of Chemical and Environmental Engineering, Chania, Greece (atsilimigkras1@tuc.gr)
- 2Technical University of Crete, School of Chemical and Environmental Engineering, Chania, Greece (avoulgarakis@tuc.gr)
- 3Technical University of Crete, School of Chemical and Environmental Engineering, Chania, Greece (mlazaridis@tuc.gr)
- 4Technical University of Crete, School of Chemical and Environmental Engineering, Chania, Greece (akoutroulis@tuc.gr)
Climate change impact assessments often require a manageable subset of climate models that accurately reflect regional specificities. This study harnesses the Coupled Model Intercomparison Project Phase 6 (CMIP6) to define a subset of models that represent the unique climate patterns of Greece. Our primary goal is to identify models that not only demonstrate the best performance over the recent past but also possess the capacity to reflect future climate spreads of the CMIP6 ensemble.
In our assessment we evaluate the full array of 40 CMIP6 models available in the KNMI Climate Explorer using a suite of performance metrics. The evaluation spans the accuracy of historical simulations against the CHELSA observational datasets (Karger et al., 2021). Model capacity for future climate projections is informed by recent advancements in model performance assessments specifically for Europe (Palmer et al., 2023), ensuring that selected models are robust across different climatic scenarios. We further consider model dependence based on recent concepts (Merrifield et al., 2023).
In the same context, we specifically focus on the representativeness of the selected driving models for the ongoing EURO-CORDEX CMIP6 downscaling initiative, which serves as the primary source of information for climate change impact assessment studies in Greece.
We conclude with recommendations of refined subsets of CMIP6 models meeting performance and representativeness criteria for climate model output users. This methodology not only aids in delineating between model performances but also facilitates a more nuanced understanding of their projection capabilities in the rapidly evolving climate modeling landscape.
Acknowledgments
The present work was performed within the project “Support the upgrading of the operation of the National Network on Climate Change (CLIMPACT)” of the General Secretariat of Research and Technology under Grant “2023ΝΑ11900001”.
References
Karger, D.N., Lange, S., Hari, C., Reyer, C. P. O., Zimmermann, N.E. (2021): CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0. ISIMIP Repository. https://doi.org/10.48364/ISIMIP.836809
Merrifield, A., Brunner, L., Lorenz, R., Humphrey, V., & Knutti, R. (2023). Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications. Geoscientific Model Development. https://doi.org/10.5194/gmd-16-4715-2023.
Palmer, T.E. et al. (2023) ‘Performance-based sub-selection of CMIP6 models for impact assessments in Europe’, Earth System Dynamics, 14(2), pp. 457–483. doi:10.5194/esd-14-457-2023.
How to cite: Tsilimigkras, A., Voulgarakis, A., Lazaridis, M., and Koutroulis, A.: Sub-Selection of CMIP6 Models tailored for Climate Impact Assessments in Greece, 18th Plinius Conference on Mediterranean Risks, Chania, Greece, 30 Sep–3 Oct 2024, Plinius18-50, https://doi.org/10.5194/egusphere-plinius18-50, 2024.
