机译:基于自动统计降尺度的气候变化条件下长江流域降水变化预测
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, People's Republic of China;
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, People's Republic of China;
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, People's Republic of China;
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, People's Republic of China,HydroChina Huadong Engineering Corporation, Hangzhou 310014, People's Republic of China;
Department of Geosciences, University of Oslo, P. O. Box 1047, Blindern, 0316 Oslo, Norway,Department of Earth Sciences, Uppsala University, Uppsala, Sweden;
climate change; statistical downscaling; mann-kendall trend; precipitation; the yangtze river basin;
机译:统计降尺度法估算长江流域未来降水变化
机译:基于典范相关分析的多模型统计降尺度对长江淮河流域夏季降水的投影
机译:使用统计降尺度方法评估印度上戈达瓦里河流域的降水和温度气候变化
机译:与尼泊尔喜马拉雅盆地联系的河流流量和降水制度:评估水加工学变异性和气候变化的影响
机译:根据缩减的CMIP5气候情景,气候变化对哥伦比亚河流域极端降水的影响。
机译:基于CMIP5气候模式的中国金沙江流域未来极端降水与洪水变化预测。
机译:在南亚热带地区,将统计上缩减的GCM输出与盆地湖水文模型耦合:评估大规模降水变化对区域水气候变异性的影响