...
These adjustments ensure that hydropower indicators remain temporally consistent with other energy variables, while preserving the integrity of their source format.
For more information on the hydropower models please refer to the page Hydro Power Hydropower Conversion Models.
Forenergy demand proxies based on Energy Degree Days (EDD)—specifically Heating Degree Days (HDD) and Cooling Degree Days (CDD)—temporal aggregation follows a different logic. Instead of averaging as done for most climate and energy indicators, monthly HDD and CDD values are summed to derive seasonal (3-month) and annual totals. This approach aligns with the methodology adopted by the European Climate Adaptation Platform Climate-ADAPT, and ensures that cumulative heating and cooling requirements over longer periods are correctly represented. This summation method reflects the additive nature of degree-day indicators, which are intended to quantify cumulative deviations from thermal comfort thresholds over time. For more information on the energy demand model please refer to the page Electricity and Energy Demand Models.
| Info | ||
|---|---|---|
| ||
This document has been produced in the context of the Copernicus Climate Change Service (C3S). The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view. |
...