MSc Student; Environmental Engineering
UC Berkeley - University of California, Berkeley
Stephen Welch graduated Spring 2012 from UC Berkeley with an M.S. in environmental engineering. Stephen's research focus is large scale sensor placement for capturing snow water equivalent in the American River Basin using Gaussian Process machine learning algorithms. Stephen is also developing a protocol for communication between Campbell scientific data loggers and Dust networks wireless hardware, allowing extensive existing hardware to communicate wirelessly, delivering data to researchers in real time.
Sensor placement strategies for SWE estimation in the American River basin. Welch, S., Kerkez, B., Bales, R., Glaser, S., Rittger, Rice, R. (2013): Water Resources Research, 49 (2)
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
Sampling design and optimal sensor placement strategies for basin-scale SWE estimation. Kerkez, B., Welch, S.C., Bales, R.C., Glaser, S.D., Rittger, K.E., and R. Rice (2012): Fall Meeting, American Geophysical Union, December 2012. Abstract C33C-0683.
Estimating Snow Water Equivalent over the American River in the Sierra Nevada Basin Using Wireless Sensor Networks. Welch, S.C., Kerkez, B., Glaser, S.D., Bales, R.C., Rice, R. (2011): Fall meeting, American Geophysical Union, December 2011. Abstract IN32A-07.