Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Kortrijk Kennedy Park, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Kortrijk Kenny Park (50° 48' 2"N 3°16'13" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).本数据集基于Nik（2016）提出的方法，针对科特赖克肯尼公园（Kortrijk Kenny Park，50°48'2"N 3°16'13"E）点位，从EC-Earth驱动的对流允许气候模型COSMO-CLM的比利时区域模拟结果中提取典型降尺度年（Typical Downscaled Year, TDY）、极端冷年（Extreme Cold Year, ECY）与极端暖年（Extreme Warm Year, EWY）数据；该模拟采用TERRA_URB(v2.0)陆面方案，并结合SURY（半经验城市冠层，Semi-empirical URban canopY, SURY）参数化方案（Wouters等，2016）。本研究的模拟积分过程与Vanden Broucke等（2019）中描述的设置完全一致。该气候模型的空间分辨率为2.8 km，时间分辨率为逐小时，数据集涵盖近历史时段（1976-2004年）与未来时段（2070-2098年，RCP 8.5气候变化情景），均为30年时长的数据集。本数据集针对未来时段提取了上述三类年份的数据，并针对以下变量开展了偏差校正：气温（校正方法参见Ramon等，2020）、太阳辐射与相对湿度（校正方法参见Ramon等，202X）。