4-9 September 2022, Bonn, Germany
EMS Annual Meeting Abstracts
Vol. 19, EMS2022-412, 2022
https://doi.org/10.5194/ems2022-412
EMS Annual Meeting 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A very high spatial resolution database for heating and cooling degree-days in Catalonia (1971-2100): observations and climate projections.

Albert Aparicio, Vicent Altava-Ortiz, Laura Barberia, Antoni Barrera-Escoda, and Anna Rius
Albert Aparicio et al.
  • Meteorological Service of Catalonia (SMC), Governement of Catalonia, Barcelona, Spain (toni.barrera@gencat.cat)

Future climate projections for the Mediterranean area point out to an important increase in temperature during this century, independently on the considered emission scenario. This projected increase will have a significant impact on temperature-related climate indices, such as heating and cooling degree-days, and also, the economic costs to maintain climate comfort within buildings, especially for summer. These indices are key outside temperature-based indices to evaluate the energy consumption of buildings. 

In this work, a very high spatial resolution database for heating (HDD) and cooling degree-days (CDD) has been performed from different temperature data: The network of automatic weather station from the Meteorological Service of Catalonia from 2006 to 2015 (138 stations in 32,000 km2), and non-automatic weather station data from 1971 to 2015. It has been taking as a baseline 15 and 18 °C for HDD, and 21 and 25 °C as thresholds for CDD. 

Data from automatic weather stations allow us to compute these indices with a high temporal accuracy (hourly or sub-hourly time scales), but they are only available with a highly-dense network for the last few 15 years. Otherwise, data from non-automatic weather stations allows us to analyse a wider temporal coverage, but only with daily-mean temperature data. Thus, in areas with a complex topography, as it is the case of Catalonia, important differences at annual scale can appear when computing HDD and CDD from daily or hourly-mean values, especially for zones prone to thermal inversion situations. Hourly data leads to increase HDD and CDD for each considered threshold. The differences among them reach annual-mean values higher than 200 ºC-days for heating degree-days and 150 ºC-days for cooling degree-days. 

Taking into account statistically downscaled climate projections at 1-km spatial resolution from 3 IPCC-AR5 global climate simulations forced by RCP4.5 and RCP8.5 emission scenarios, it is expected a significant decrease in HDD for the Pyrenees, up to 2000-2400 ºC-days in 2100, for 15 and 18 ºC thresholds, respectively. Meanwhile, it is projected an important increase in CDD for the Ebro Valley, up to 400-600 ºC-days in 2100, for 25 and 21 ºC thresholds, respectively.

 

How to cite: Aparicio, A., Altava-Ortiz, V., Barberia, L., Barrera-Escoda, A., and Rius, A.: A very high spatial resolution database for heating and cooling degree-days in Catalonia (1971-2100): observations and climate projections., EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-412, https://doi.org/10.5194/ems2022-412, 2022.

Supporters & sponsors