Making Machine Learning-based Snow Water Equivalent Forecasting Research Productive and Reusable by Geoweaver
Making Machine Learning-based Snow Water Equivalent Forecasting Research Productive and Reusable by Geoweaver
Ziheng Sun1, Nicoleta C Cristea2, Kehan Yang3, Ahmed Alnuaim4, Lakshmi Chetana Gomaram Bikshapathireddy4, Aji John5, Justin Pflug6, Brian Li7, Hailey Pan8, Nikil Shyamsunder9, Rithvik Reddygari10 and Praneeth Bhandaru11, (1)George Mason University Fairfax, Fairfax, VA, United States, (2)University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, (3)University of Colorado, Boulder, Department of Geography, Institute of Arctic and Alpine Research, Boulder, United States, (4)George Mason University, Fairfax, United States, (5)University of Washington Seattle Campus, Department of Biology, Seattle, WA, United States, (6)University of Colorado, Boulder, United States, (7)Henry M. Gunn High School, Palo Alto, United States, (8)Wilbert Tucker Woodson High School, Fairfax, United States, (9)John Handley High School, Winchester City, United States, (10)Rock Ridge High School, Loudoun County, United States, (11)Thomas Jefferson High School for Science and Technology, Fairfax, United States
