Streamflow Hydrology Estimate Using Machine Learning (SHEM)
Author:
Affiliation:
1. Department of Civil and Environmental Engineering; University of Alaska Fairbanks; 525 Duckering Bldg Fairbanks Alaska 99775
2. Data Science and Machine Learning; Microsoft; Redmond Washington 98052
Publisher
Wiley
Subject
Earth-Surface Processes,Water Science and Technology,Ecology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/1752-1688.12555/fullpdf
Reference55 articles.
1. Map Correlation Method: Selection of a Reference Streamgage to Estimate Daily Streamflow at Ungaged Catchments;Archfield;Water Resources Research,2010
2. Characteristics and Classification of Least Altered Streamflows in Massachusetts
3. Comparing Methods for Estimating Flow Duration Curves in Ungauged Sites;Booker;Journal of Hydrology,2012
4. Comparing and Combining Physically-Based and Empirically-Based Approaches for Estimating the Hydrology of Ungaged Catchments;Booker;Journal of Hydrology,2014
5. Calibration of Satellite Measurements of River Discharge Using a Global Hydrology Model;Brakenridge;Journal of Hydrology,2012
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