GOALS: To collect and analyze big data about the distribution of snow and snowpack properties. Such information will help provide improve water resources forecasting, and provide better ground-truth informnation for remote sensing.
KEY ELEMENTS: Snow Science, Hydrology, Meteorology, Data Analysis and Visualization, Geographic Information Systems, Sensor Design, Mobile App Design and Development
RESEARCH ISSUES: Spatial and temporal variability of snowpack properties, Rates and degree of variability, Use of mobile apps for data collection by the general public.
DAY & TIME: date and time tbd in NR 320
TEAM ADVISORS: Steven Fassnacht (ESS-WR), tbd (ECE), tbd (CS)
PROJECT PARTNERS (AND SPONSORS): Colorado State University Watershed Science Program, Natural Resources Conservation Service
DESIRED DISCIPLINES & PREPARATION:
Watershed Science/Geology/Civil Eng/Env Eng - Background/interest in hydrology, snow science, GIS
CS/CIS - Background/interest in databases, mobile applications.
ECE - Background/interest in sensor design, sensor construction
CONTACT: Dr. Steven Fassnacht, steven DOT fassnacht AT colostate DOT edu