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Operational Short-Range to Long Range (SR2lr) Streamflow Forecasting for Poorly Gauged Basins: The Unexplored Dimension of Variational Ensemble Forecasting, the Spatio-Temporal Structure of Modeling Paradigms, and the Role of Machine Learning Strategies t

机译：运行的短程（SR2LR）流流量预测不良播种盆地：变分合奏预测的未开发维度，建模范式的时空结构，以及机器学习策略的作用

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作者
Valdes-Pineda, Rodrigo.;
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作者单位

The University of Arizona.;

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授予单位 The University of Arizona.;
学科
学位 Ph.D.
年度 2020
页码 126 p.
总页数 126
原文格式 PDF
正文语种 eng
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3. Assessing the Skill of Medium-Range Ensemble Precipitation and Streamflow Forecasts from the Hydrologic Ensemble Forecast Service (HEFS) for the Upper Trinity River Basin in North Texas [J] . Kim Sunghee, Sadeghi Hossein, Limon Reza Ahmad, Journal of hydrometeorology . 2018,第9期

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4. Coupling meteorological and hydrological models for medium-range streamflow forecasts in the Parana Basin [C] . WALTER COLLISCHONN, DANIEL ALLASIA, CARLOS E. M. TUCCI, International Union of Geodesy and Geophysics . 2007

机译：耦合气象和水文模型在Parana盆地中的中档流溢预测
5. Approaches for operational forecasting of short-to-medium range streamflow for snowmelt dominated basins. [D] . Harshburger, Brian. 2009

机译：以融雪为主的盆地中短期流量预报的方法。
6. Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations [O] . Naresh Devineni, A. Sankarasubramanian, Sujit Ghosh -1

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7. Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms [O] . Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis 2020

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Operational Short-Range to Long Range (SR2lr) Streamflow Forecasting for Poorly Gauged Basins: The Unexplored Dimension of Variational Ensemble Forecasting, the Spatio-Temporal Structure of Modeling Paradigms, and the Role of Machine Learning Strategies t

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