William H Farmer, Ph.D. (Former Employee)
Science and Products
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A comparison of methods to predict historical daily streamflow time series in the southeastern United States A comparison of methods to predict historical daily streamflow time series in the southeastern United States
Effective and responsible management of water resources relies on a thorough understanding of the quantity and quality of available water. Streamgages cannot be installed at every location where streamflow information is needed. As part of its National Water Census, the U.S. Geological Survey is planning to provide streamflow predictions for ungaged locations. In order to predict...
Authors
William H. Farmer, Stacey A. Archfield, Thomas M. Over, Lauren E. Hay, Jacob H. LaFontaine, Julie E. Kiang
Multiple regression and inverse moments improve the characterization of the spatial scaling behavior of daily streamflows in the Southeast United States Multiple regression and inverse moments improve the characterization of the spatial scaling behavior of daily streamflows in the Southeast United States
Understanding the spatial structure of daily streamflow is essential for managing freshwater resources, especially in poorly-gaged regions. Spatial scaling assumptions are common in flood frequency prediction (e.g., index-flood method) and the prediction of continuous streamflow at ungaged sites (e.g. drainage-area ratio), with simple scaling by drainage area being the most common...
Authors
William H. Farmer, Thomas M. Over, Richard M. Vogel
Science and Products
Filter Total Items: 15
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Filter Total Items: 32
A comparison of methods to predict historical daily streamflow time series in the southeastern United States A comparison of methods to predict historical daily streamflow time series in the southeastern United States
Effective and responsible management of water resources relies on a thorough understanding of the quantity and quality of available water. Streamgages cannot be installed at every location where streamflow information is needed. As part of its National Water Census, the U.S. Geological Survey is planning to provide streamflow predictions for ungaged locations. In order to predict...
Authors
William H. Farmer, Stacey A. Archfield, Thomas M. Over, Lauren E. Hay, Jacob H. LaFontaine, Julie E. Kiang
Multiple regression and inverse moments improve the characterization of the spatial scaling behavior of daily streamflows in the Southeast United States Multiple regression and inverse moments improve the characterization of the spatial scaling behavior of daily streamflows in the Southeast United States
Understanding the spatial structure of daily streamflow is essential for managing freshwater resources, especially in poorly-gaged regions. Spatial scaling assumptions are common in flood frequency prediction (e.g., index-flood method) and the prediction of continuous streamflow at ungaged sites (e.g. drainage-area ratio), with simple scaling by drainage area being the most common...
Authors
William H. Farmer, Thomas M. Over, Richard M. Vogel