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    Page: Can I select a single point or area prom the CORDEX data?
    Page: Can you provide more detail on what the new methods of quantifying uncertainties are?
    Page: Can’t we rather say that higher resolution reduces uncertainty within each *individual* model, but increases the values of the *estimates* of the (“global” or “collective”) uncertainty within the ensemble.
    Page: Could you comment on bias-correction of sub-daily values ?
    Page: Does higher resolution means less uncertainty?
    Page: Does the model takes into account the influence of the forest? If yes, do they take into account the change in the forest area (deforestation)?
    Page: Does the resolution is enough to be an input for hydrological models to simulate hydrological processes or it needs additional downscaling? If yes, how?
    Page: Do the new forcing terms take heat urban island effects into account (close to cities)?
    Page: Do these models also tell us how solar radiation at the ground surface will change as humidity and cloudiness might change?
    Page: Do you generally apply spectral nudging to your simulations?
    Page: Even the 12,5x12,5 km grid is too coarse for some specific tasks like observing urban heat island.
    Page: For now, which is the more adequate choice for model resolution and precision, considering 0.44° or 0.11° models?
    Page: For the labels “r1i1p1f1” in simulations of CMIP6, are the “forcing 1” (”forcing 2”, “forcing 3”…) the same for all the models in CMIP6?
    Page: Have climate models been tested, whether if they keep running for a century with repeated input from the historical period would the projection remain stable and ~repeat that regime?
    Page: how do we trust the credibility of projected climate modelds If we make a bias adjstement?
    Page: How far are we still from estimating future extreme events using RCMs?
    Page: How is land use considered in current set of CORDEX simulations nested to CMIP5 GCMs? Dynamically or statically? Is a change planned once they are nested to CMIP6 GCM that consider combinations of RCPs and SSPs?
    Page: I assume these are all based on CMIP5 GCM's. What is the plan for CMIP6 in Euro-Cordex? Are there plans to use meta-ensembles across both CMIP5 and CMIP6 - e.g. can impact studies pick across both ensembles?
    Page: If I want to combine a historical with an RCP experiment family from the same model should they have to share the same ensemble ?
    Page: If the climate model can only be considered accurate for statistical averages, would it be correct to analyse the future changes on hourly basis?
    Page: Is it possible to compare EURO-CORDEX regional datasets with other regional CORDEX datasets (if I have understood correctly, CORDEX have developed RCMs for each region, e.g. Africa)?
    Page: I work in insurance and we often use regional models to build statistical models of natural catastrophes.
    Page: I would like to clarify: do models with higher resolution simulate better extreme precipitation events?
    Page: Question on CORDEX bias adjusted model results: Can these results be directly used in Impact assessment studies? Or there are some advantages in using original CORDEX model results and do bias adjustment ourself on specific region we research?
    Page: Related to multi-model ensembles: could you comment on the influence of structural independence of GCMs and RCMs (physics and parametrizations) with respect to the model ensemble?
    Page: Several remarks on CORDEX: Why is the rotated-pole grid is used?
    Page: We have seen some considerations about different spatial resolutions in RCMs, but what about time resolution?
    Page: What about providing the confidence of modellers' in their models?
    Page: What are the differences between Euro-Cordex and Med-Cordex?
    Page: What is a model ensemble? (1) A collection of sub-models, which together constitute one full climate model? (2) A collection of alternative climate models, which are run separately for the purpose of quantifying the uncertainty of the predictions?
    Page: What is the advice/guidance you give to stakeholders with respect to the spread coming from the different downscaling methods (e.g. uncertainty across RCM's)?
    Page: What is the spatial and temporal resolution of the RCMs?
    Page: What is the typical timestep of GCM? Hour, day, month?
    Page: What kind of other data can be obtained from CORDEX? Are there global crop-related gridded data and PET data available to download?
    Page: When and where should statistical and dynamical downscaling be used? and why?
    Page: Where is the RCP6.0?
    Page: Why are green house gas concentrations (for example CO2) always shown as global - aren't there local concentration differences that affect the local temperature variability and deserve to be studied?
    Page: Why the very low and very high SSP scenarios are questionable?
    Page: With big data, I assume you will also increasingly use AI for processing.
    Page: You mentioned that some European countries have done even higher resolution downscaling (e.g. UK). Have there been some comparison made between the 12km and the higher resolution historical and future simulations?