Ph.D student, UC Berkeley
UC Berkeley - University of California, Berkeley
MS, Systems Engineering, Univ. of California, Berkeley, 2012
I research novel wireless sensor networks, network optimization, and machine learning for large data sets. I am especially interested in how large wireless networks can be used to supplement traditional modeling techniques in the face of model uncertainty. At the SSCZO, I am currently helping to deploy a large wireless sensor network to study snowmelt and other hydrologic process at finer spatial and temporal resolutions than were previously achievable. Previously I have designed and deployed large fleets of autonomously controlled Lagrangian sensors for use in rivers and estuaries through the NSF CiBER-IGERT traineeship. (float.berkeley.edu, ciber.berkeley.edu/IGERT/)
CZO Research Groups
Spatially distributed water-balance and meteorological data from the rain-snow transition, southern Sierra Nevada, California. BALES, R., STACY, E., SAFEEQ, M., MENG, X., MEADOWS, M., OROZA, C., CONKLIN, M., GLASER, S., and WAGENBRENNER, J. (2018): Earth System Science Data, 10
Optimizing embedded sensor network design for catchment scale snowdepth estimation using LiDAR and machine learning. Oroza, C.A., Zheng, Z., Glaser, S.D., Tuia, D., Bales, R.C. (2016): Water Resources Research. 52 (10), 8174.
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
Spatial Variability of Soil-Water Storage in the Southern Sierra Critical Zone Observatory: Measurement and Prediction. Oroza, C.; Bales, R. C.; Zheng, Z.; Glaser, S. D. (2017): Fall Meeting, American Geophysical Union, December 2017. Abstract H41G-1539.
Optimizing placements of ground-based snow sensors for areal snow cover estimation using a machine-learning algorithm and melt-season snow-LiDAR data. Oroza, C.; Zheng, Z.; Glaser, S.D.; Bales, R.C.; Conklin, M.H. (2016): Fall Meeting, American Geophysical Union, December 2016. Abstract C44A-08.
In-situ monitoring of California’s drought: Impacts on key hydrologic variables in the Southern Sierra Nevada. Oroza, C., Zheng, Z., Zhang, Z., Glaser, S., Bales, R., Conklin, M. (2015): EP53A Earth and Planetary Surface Processes: General Contribution Posters, presented at 2015 Fall Meeting, AGU, San Francisco, CA, 14-18 Dec.
Optimization methods for multi-scale sampling of soil moisture and snow in the Southern Sierra Nevada . Oroza, C., Zheng, Z., Zhang, Z., Glaser, S., Bales, R., Conklin, M. (2015): H42B Hot Spots and Hot Moments at System Interfaces: Novel Sensors and Modeling Approaches for Transforming Understanding of Catchment Heterogeneity I, presented at 2015 Fall Meeting, AGU, San Francisco, CA, 14-18 Dec.
Optimization of Sensor Placements Using Machine Learning and LIDAR data: a Case Study for a Snow Monitoring Network in the Sierra Nevada. Oroza, C, Zheng, Z, Glaser S, Bales, R (2014): American Geophysical Union, Fall Meeting 2014, abstract #C43D-0412
Developing a robust wireless sensor network structure for environmental sensing. Zhang, Z., C. Oroza, S.D. Glaser, R.C. Bales and M.H. Conklin. (2013): American Geophysical Union, Fall Meeting 2013, abstract #C41B-0630
23 Mar 2016 - Snow days may hold some people back from going to work or school. But for Southern Sierra Critical Zone Observatory researchers and staff, traveling...