Vermont EPSCoR Publications and Products


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Author Title [ Type(Desc)] Year
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Poster
Huang H, Winter JM, Osterberg EC, Horton RM, Beckage B. Total and Extreme Precipitation Changes over the Northeastern United States. 2016 AGU (American Geophysical Union) Fall Meeting [Internet]. 2016 . Available from: https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/125187
Huang H, Winter JM, Osterberg EC, Horton RM, Beckage B. Total and Extreme Precipitation Changes over the Northeastern United States. 2016 AGU (American Geophysical Union) Fall Meeting [Internet]. 2016 . Available from: https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/125187
Underwood KL, Hanley J, Rizzo DM, Sterle G, Harpold AA, Adler T, Li L, Wen H, Perdrial JN. Use of machine learning to extract patterns from long-term monitoring data across the US. ESA2020 (Harnessing the Ecological Data Revolution) [Internet]. 2020 . Available from: https://eco.confex.com/eco/2020/meetingapp.cgi/Paper/86651
Underwood KL, Hanley J, Rizzo DM, Sterle G, Harpold AA, Adler T, Li L, Wen H, Perdrial JN. Use of machine learning to extract patterns from long-term monitoring data across the US. ESA2020 (Harnessing the Ecological Data Revolution) [Internet]. 2020 . Available from: https://eco.confex.com/eco/2020/meetingapp.cgi/Paper/86651
Hamshaw SD, Underwood KL, Rizzo DM, Wemple B, Dewoolkar MM. Using Distributed Continuous Turbidity Monitoring to Inform Sediment and Sediment-bound Nutrient Budgets in a Small Watershed. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .
Hamshaw SD. Watershed data science at the event scale: Machine learning for event concentration-discharge analysis. Virtual Summit: Incorporating Data Science and Open Science Techniques in Aquatic Research [Internet]. 2020 . Available from: https://freshwaterecology.wordpress.com/2020/07/08/conference-workshop-virtual-summit-incorporating-data-science-and-open-science-techniques-in-aquatic-research/
Thesis / Dissertation
Huang H. Assessing Precipitation Changes and Mechanisms Over the Northeastern United States. Hanover, NH: Dartmouth College; 2019 p. 106. Available from: https://search.proquest.com/docview/2279779609/abstract/657C32449D844A81PQ/
Hamshaw SD. Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatics and Machine Learning. Burlington, VT: University of Vermont; 2017.
Holthuijzen MF. High-resolution downscaling and bias-correction of temperature and precipitation: advances in statistical methods. Burlington, VT: University of Vermont; 2022.
Hamshaw SD. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data (M.S. Thesis). Burlington VT: University of Vermont; 2014.

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