机译:使用降雨径流模型和历史天气数据进行月度和季节流量预测
Water for a Healthy Country National Research Flagship, CSIRO,Canberra, ACT, Australia CSIRO Land and Water, Canberra, ACT, Australia;
Water for a Healthy Country National Research Flagship, CSIRO,Canberra, ACT, Australia CSIRO Land and Water, Canberra, ACT, Australia;
Water for a Healthy Country National Research Flagship, CSIRO,Canberra, ACT, Australia CSIRO Land and Water, Canberra, ACT, Australia ColIege of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China;
Water for a Healthy Country National Research Flagship, CSIRO,Canberra, ACT, Australia CSIRO Land and Water, Canberra, ACT, Australia;
Water for a Healthy Country National Research Flagship, CSIRO,Canberra, ACT, Australia CSIRO Land and Water, Highett, Victoria, Australia;
机译:降雨-径流情况下每月到季节性流量预报中误差源的分解
机译:使用降雨-径流转换和统计模型进行季节性流量预报的增加值的估算
机译:混合模型是否与数据预处理技术集成在一起,是否适合每月流量预测?一些实验证据
机译:在中度天气预报和季节性气候展望之间架起一座中间地带:每天两周的每日天气预报和每月气候展望
机译:里奥格兰德盆地的月度和季节性流量预报。
机译:混合模型在南非东开普的结核病流行率数据的季节性和趋势预测
机译:从中期天气预报(10天)到降雨径流模型到欧洲洪水预报系统(EFFS)中的洪水淹没预报的级联模型不确定性
机译:评估Des moines和Iowa River流域历史每日流量时间序列的统计和降雨 - 径流模型。