Vermont EPSCoR Publications and Products


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Author Title Type [ Year(Asc)]
2020
Betts AK. The Task Before Us. Green Energy Times [Internet]. 2020 . Available from: https://greenenergytimes.org/2020/11/23/the-task-before-us/
Wen H, Perdrial JN, Abbott BW, Bernal S, Dupas R, Godsey SE, Harpold A, Rizzo DM, Underwood KL, Adler T, et al. Temperature controls production but hydrology regulates export of dissolved organic carbon at the catchment scale. Hydrology and Earth System Sciences [Internet]. 2020 ;24(2):945 - 966. Available from: https://www.hydrol-earth-syst-sci.net/24/945/2020/hess-24-945-2020.html
Betts AK. Time to Re-imagine Capitalism. Green Energy Times [Internet]. 2020 . Available from: https://greenenergytimes.org/2020/01/15/time-to-re-imagine-capitalism/
Betts AK. The Truth Matters. Rutland Herald [Internet]. 2020 . Available from: https://www.rutlandherald.com/opinion/perspective/weekly-planet-the-truth-matters/article_10f11295-e9b7-5608-a601-17965c512865.html
Hrycik AR, Stockwell JD. Under-ice mesocosms reveal the primacy of light but the importance of zooplankton in winter phytoplankton dynamics. Limnology and Oceanography [Internet]. 2020 . Available from: https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lno.11618
Betts AK, Desjardins R, Strunecka A. Understanding Land–Atmosphere–Climate Coupling from the Canadian Prairie Dataset. In: Prime Archives in Environmental Research. 1stst ed. Prime Archives in Environmental Research. Hyderabad, India: Vide Leaf; 2020. Available from: https://videleaf.com/wp-content/uploads/2020/09/Understanding-Land%E2%80%93Atmosphere%E2%80%93Climate-Coupling-from-the-Canadian-Prairie-Dataset.pdf
Hecht JS, Vogel RM. Updating urban design floods for changes in central tendency and variability using regression. Advances in Water Resources [Internet]. 2020 ;136:103484. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0309170819302106
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
Crossett C, Dupigny-Giroux L-A, Bomblies A, Rizzo DM, Betts AK. Utilizing a Self-Organizing Map to Identify Synoptic Patterns in Heavy Precipitation Events in the Northeastern United States. In: AMS100 (American Meteorological Society 100th Annual Meeting). AMS100 (American Meteorological Society 100th Annual Meeting). Boston, MA: American Meteorological Society; 2020. Available from: https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/368138
Schattman RE, Hurley S, Greenleaf HL, Niles MT, Caswell M. Visualizing Climate Change Adaptation: An Effective Tool for Agricultural Outreach?. Weather, Climate, and Society [Internet]. 2020 ;12(1):47 - 61. Available from: https://journals.ametsoc.org/doi/abs/10.1175/WCAS-D-19-0049.1
McCabe DJ. Water Dragons. Northern Woodlands. 2020 .
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/
Hamshaw SD, Rizzo DM, Javed A, Nguyen L. Watershed data science at the event scale: Revealing insights in watershed function through analysis of concentration-discharge relationships. In: 2020 AGU (American Geophysical Union) Fall Meeting. 2020 AGU (American Geophysical Union) Fall Meeting. Virtual: American Geophysical Union (AGU); 2020. Available from: https://agu.confex.com/agu/fm20/webprogram/Paper766889.html
Kincaid DW, Beck WS, Brandt JE, Brisbin MMars, Farrell KJ, Hondula KL, Larson EI, Shogren AJ. Wikipedia can help resolve information inequality in the aquatic sciences. Limnology and Oceanography Letters [Internet]. 2020 . Available from: https://onlinelibrary.wiley.com/doi/10.1002/lol2.10168
2019
Worley R, Dewoolkar MM, Xia T, Farrell R, Orfeo DJ, Burns D, Huston DR. Acoustic emission sensing for crack monitoring in prefabricated and prestressed reinforced concrete bridge girders. Journal of Bridge Engineering [Internet]. 2019 ;24(4). Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29BE.1943-5592.0001377
Zia A. Adaptive governance of coupled social-ecological systems: Introduction to the special issue themes. Complexity, Governance & Networks [Internet]. 2019 ;5(1):1 - 4. Available from: https://ubp.uni-bamberg.de/ojs/index.php/cgn/article/view/92
Zia A, Hirsch PD, Axtell R, Chenok D, Dornisch D, Wiseman J, Wyble B. Advancing Public Service through Big Data and Artificial Intelligence. In: 2019 Pre-Conference Workshop. 2019 Pre-Conference Workshop. Washington, DC: American Society for Public Administration; 2019. Available from: https://scnsaspa.wordpress.com/workshops/
Clemins PJ, Bucini G, Winter JM, Beckage B, Towler E, Betts AK, Cummings R, Queiroz HC. An Analog Approach for Weather Estimation Using Climate Projections and Reanalysis Data. Journal of Applied Meteorology and Climatology [Internet]. 2019 ;58(8):1763 - 1777. Available from: https://journals.ametsoc.org/doi/pdf/10.1175/JAMC-D-18-0255.1
Hamshaw SD, Engel T, Rizzo DM, O'Neil-Dunne J, Dewoolkar MM. Application of unmanned aircraft system (UAS) for monitoring bank erosion along river corridors. Geomatics, Natural Hazards and Risk [Internet]. 2019 ;10(1):1285 - 1305. Available from: https://www.tandfonline.com/doi/full/10.1080/19475705.2019.1571533
Aytur S, Doran EMB, Doidge M, Wilson R, Axelrod M, Bitterman P, Mitchell J, Lee J, Carlin K, Rivers L, et al. Assessing correlates of farmer behavior to prevent Harmful Algal Blooms (HABs): A multi-level analysis. In: APHA 2019 (American Public Health Association Annual Meeting and Expo). APHA 2019 (American Public Health Association Annual Meeting and Expo). Philadelphia, PA: American Public Health Association (APHA); 2019. Available from: https://apha.confex.com/apha/2019/meetingapp.cgi/Paper/448021
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, Denu D, Holthuijzen M, Wshah S, Rizzo DM. Automating the Classification of Hysteresis in Event Concentration-Discharge Relationships. In: SEDHYD 2019. SEDHYD 2019. Reno, NV: SEDHYD, INC.; 2019. Available from: https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_program&action=view.php&id=70&file=1/70.pdf
Doubek JP, Carey CC, Lavender M, Winegardner AK, Beaulieu M, Kelly PT, Pollard AI, Straile D, Stockwell JD. Calanoid copepod zooplankton density is positively associated with water residence time across the continental United States Dam HG. PLOS ONE [Internet]. 2019 ;14(1):e0209567. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209567
Betts AK. The clash between oil and the future. Rutland Herald [Internet]. 2019 . Available from: https://www.rutlandherald.com/opinion/perspective/weekly-planet-the-clash-between-oil-and-the-future/article_8603f2be-83d0-5b52-ade3-9c056c3b61ef.html
Betts AK. The Clash between Oil and the Future. Green Energy Times [Internet]. 2019 . Available from: http://www.greenenergytimes.org/2019/03/18/the-clash-between-oil-and-the-future/

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