Data to modeling the effects of future climate change on streamflow in Salgado River basin in the Brazilian Caatinga biome

These are the data used to evaluate LULC changes and the future water yield (WY) in the Salgado River basin (SRB) for the period from 2030−2060. Many procedures were used: (a) calibration and validation of the SWAT model is used on a monthly basis for 1986−2017, with a calibration period from 1986 to 2005 and validation period from 2006−2017, (b) LULCC analysis is performed for 1985−2000, (c) future LULC is predicted using the land change model for 2050, (d) multiple scenarios involving five global circulation models (GCMs) are simulated, and representative concentration pathways (RCPs) are considered, (e) bias correction and downscaling for precipitation, maximum temperature, minimum temperature, are performed, (f) average monthly streamflow is estimated from 2030−2060 using GCMs, (g) future hydrological modeling of the geographical distribution of the water yield is performed for each subbasin of the SRB, and (h) RCPs are compared with the baseline period from 1970−2005.

本数据集用于评估萨尔加多河流域（SRB）在2030至2060年期间土地利用变化（LULC）及其未来水资源（WY）的变化。其中采用了多种方法：(a) 对SWAT模型进行校准和验证，以月度为单位应用于1986至2017年，校准期从1986年至2005年，验证期从2006年至2017年；(b) 对1985至2000年的土地利用变化进行分析；(c) 利用土地变化模型预测2050年的未来土地利用；(d) 模拟涉及五个全球环流模型（GCMs）的多种情景，并考虑代表性浓度路径（RCPs）；(e) 对降水量、最高温度和最低温度进行偏差校正和降尺度处理；(f) 利用GCMs估算2030至2060年的平均月径流量；(g) 对SRB各子流域的水资源产量地理分布进行未来水文建模；(h) 将RCPs与1970至2005年的基线期进行比较。