10 - Downscaled dataseries of precipitation and temperature

Downscaled dataseries of precipitation and temperature with Delta Quintile Mapping method. Considering the reference period 2005-2020 for both temperature and precipitation, the Spatial Downscaling technique of Quantile Delta Mapping (Cannon et al., 2015) was applied, obtaining 5 rows for each RCM (total 21 models). A series was obtained for the reference period (bias-corrected) and for the four future scenarios S1, S2, S3, and S4, of +1.5°C, +2°C, +3°C, +4°C, respectively.

基于分位数增量映射（Delta Quintile Mapping）方法生成的降水与气温降尺度数据序列。本研究选取2005-2020年作为气温与降水的基准参照时段，应用分位数增量映射（Quantile Delta Mapping，Cannon等，2015）空间降尺度技术，每个区域气候模型（Regional Climate Model, RCM）可得到5组数据序列，共计21个模型。最终获得了已完成偏差校正的基准时段数据序列，以及分别对应+1.5℃、+2℃、+3℃、+4℃升温的S1、S2、S3、S4四种未来情景下的数据序列。