Abstract
Snowcloud is a data gathering system for snow hydrology field research campaigns conducted in harsh climates and remote areas. The system combines distributed wireless sensor network technology and computational techniques to provide data to researchers at lower cost and higher spatial resolution than ground-based systems using traditional “monolithic” technologies. Supporting the work of a variety of collaborators, Snowcloud has seen multiple Winter deployments in settings ranging from high desert to arctic, resulting in over a dozen node-years of practical experience. In this chapter, we discuss both the system design and deployment experiences.
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References
Alippi, C., Anastasi, G., Galperti, C., Mancini, F., Roveri, M.: Adaptive sampling for energy conservation in wireless sensor networks for snow monitoring applications. In: IEEE Conference on Mobile Ad Hoc and Sensor Systems (2007)
Campbell, J., Ollinger, S., Flerchinger, G., Wicklein, H., Hayhoe, K., Bailey, A.: Past and projected future changes in snowpack and soil frost at the Hubbard Brook Experimental Forest, New Hampshire, USA. Hydrol. Process. 24, 2465–2480 (2010)
Campbell, D. et al.: Attribution of declining Western U.S. snowpack to human effects. J. Climate 105, 11826 (2008)
Chapin, P., Skalka, C., Smith, S., Watson, M.: Scalaness/nesT: type specialized staged programming for sensor networks. In: ACM Generic Programming: Concepts and Experiences (GPCE) (2013)
Franz, K., Hatmann, H., Sorooshian, S., Bales, R.: Verification of national weather service ensemble stream-flow predictions for water supply forecasting in the Colorado River basin. J. Hydrometeorol. 4, 1105–1118 (2003)
Guizzo, E.: Into deep ice. IEEE Spect. 42(12), 28–35 (2005)
Hasler, A., Talzi, I., Tschudin, C., Gruber, S.: Wireless sensor networks in permafrost research—concept, requirements, implementation and challenges. In: Proceedings of 9th Int’l Conference on Permafrost (2008)
Henderson, T., Grant, E., Luthy, K., Cintron, J.: Snow monitoring with sensor networks. In: IEEE International Conference on Local Computer Networks (2004)
Kerkez, B., Glaser, S., Bales, R., Meadows, M.: Design and performance of a wireless sensor network for catchment-scale snow and soil moisture measurements. Water Resour. Res. 48(9), w09515 (2012)
Lampkin, D.: Resolving barometric pressure waves in seasonal snowpack with a prototype-embedded wireless sensor network. Hydrol. Process. 24, 2014–2021 (2010)
Liston, G.: Interrelationships among snow distribution, snowmelt, and snow cover depletion: implications for atmospheric, hydrologic, and ecologic modeling. J. Appl. Meteorol. Climatol. 38, 1474–1487 (1999)
MEMSIC.: TelosB data sheet. Technical report, 6020–0094-03 Rev A (2013)
Moeser, C., Walker, M., Skalka, C., Frolik, J.: Application of a wireless sensor network for distributed snow water equivalence estimation. In: Western Snow Conference (2011)
NOAA.: Strategic science plan. Technical report, Office of Hydrologic Development Hydrology Laboratory (2007)
Tedesco, M., Narvekar, P.: Assessment of the NASA AMSR-E SWE product. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 3(1), 141–159 (2010)
UNESCO.: Third UN world water development report: water in a changing world. Technical report, UN (2007)
Vilajosana, I., Llosa, J., Schaefer, M., Surinach, E., Marques, J.M., Vilajosana, X.: Wireless sensors as a tool to explore avalanche internal dynamics: experiments at the Weissfluhjoch snow chute. In: International Snow Science, Workshop (2009)
Welles, E., Sorooshian, S., Carter, G., Olsen, B.: Hydrologic verification: a call for action and collaboration. Bull. Amer. Meteor. Soc. 88(4), 503–511 (2007)
Willett, R., Martin, A., Nowak, R.: Backcasting: adaptive sampling for sensor networks. In: IPSN, pp. 124–133 (2004)
Yan, F., Ramage, J., McKenney, R.: Modeling high-latitude spring freshet from AMSR-E passive microwave observations. Water Resour. Res. 45, w11408 (2009)
Acknowledgments
The authors express their thanks to our scientific collaborators, including David Moeser (Swiss Federal Institute for Snow and Avalanche Research—SLF), and Drs. Mark Walker (UNR), Michael Loik (UCSC), Jennifer Jacobs (UNH), and Ian Brown (SU). We would also like to thank Dan Dawson (Sierra Nevada Aquatic Research Lab—SNARL) and Jeff Brown (Sagehen Creek Field Station) for their invaluable support of our field work.
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Skalka, C., Frolik, J. (2014). Snowcloud: A Complete Data Gathering System for Snow Hydrology Research. In: Langendoen, K., Hu, W., Ferrari, F., Zimmerling, M., Mottola, L. (eds) Real-World Wireless Sensor Networks. Lecture Notes in Electrical Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-03071-5_1
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DOI: https://doi.org/10.1007/978-3-319-03071-5_1
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