中亚五国未来棉花和冬小麦作物需水量模拟预测数据集(2020-2100)

Simulation-Prediction Dataset of Annual Irrigation Water Requirement of Cotton and Winter Wheat in Five Central Asian Countries under RCP2.6 and RCP4.5 Scenarios(2020-2100)

中亚五国地处亚洲中部,是世界最大的干旱和半干旱区之一,水资源匮乏严重,农业灌溉用水是最主要的水资源利用方式,因此研究未来主要农作物的作物需水量对探究中亚地区农业水资源的发展极其重要。本研究基于CMIP5(Fifth Coupled Model Intercomparison Project)的RCP2.6和RCP4.5气候变化情景,利用作物系数法估算2020-2100年中亚五国棉花和冬小麦的作物需水量,生成了RCP2.6和RCP4.5情景下中亚五国棉花和冬小麦逐年需水量数据集。数据的时间跨度为2020-2100年,时间分辨率为1年,空间分辨率为0.5度,数据格式为.tif。

Central Asia is one of the largest arid and semi-arid regions in the world. The region is currently facing significant shortage of water resources for agricultural irrigation. Agricultural irrigation is the largest water consumer and hence understanding the water requirement of the main crops is important for planning of agricultural water resources. The study presented in this paper was based on the Representative Concentration Pathway RCP2.6 and RCP4.5 climate change scenarios of Coupled Model Intercomparison Project Phase 5(CMIP5). The water requirements of cotton and winter wheat in five Central Asian countries(Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan) in 2020-2100 were estimated using the crop coefficient approach. The dataset is archived in.shp and.tif formats in 332 data files, with the data size of 4.65 MB(compressed to 2.16 MB in one file).