Articles | Volume 14, issue 3
The Cryosphere, 14, 1009–1023, 2020
https://doi.org/10.5194/tc-14-1009-2020
The Cryosphere, 14, 1009–1023, 2020
https://doi.org/10.5194/tc-14-1009-2020
Research article
17 Mar 2020
Research article | 17 Mar 2020

Pressure and inertia sensing drifters for glacial hydrology flow path measurements

Andreas Alexander et al.

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Cited articles

Alexander, A.: Sample step-pool sequence from drifter deployment, https://doi.org/10.5446/45582, 2020. a
Alexander, A., Kruusmaa, M., Tuhtan, J., Hodson, A., Schuler, T. V., and Kääb, A.: Raw data for: Pressure and inertia sensing drifters for glacial hydrology flow path measurements [Data set], Zenodo, https://doi.org/10.5281/zenodo.3660488, 2020. a
Allegretti, M.: Concept for Floating and Submersible Wireless Sensor Network for Water Basin Monitoring, Lect. Notes Comput. Sc., 06, 104–108, https://doi.org/10.4236/wsn.2014.66011, 2014. a
Almeida, T. G., Walker, D. T., and Warnock, A. M.: Estimating River Bathymetry from Surface Velocity Observations Using Variational Inverse Modeling, J. Atmos. Ocean. Tech., 35, 21–34, https://doi.org/10.1175/JTECH-D-17-0075.1, 2017. a
Arai, S., Sirigrivatanawong, P., and Hashimoto, K.: Control of Water Resource Monitoring Sensors with Flow Field Estimation for Low Energy Consumption, in: 11th IEEE International Conference on Control Automation (ICCA), 1037–1044, https://doi.org/10.1109/ICCA.2014.6871063, 2014. a, b
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Short summary
This work shows the potential of pressure and inertia sensing drifters to measure flow parameters along glacial channels. The technology allows us to record the spatial distribution of water pressures, as well as an estimation of the flow velocity along the flow path in the channels. The measurements show a high repeatability and the potential to identify channel morphology from sensor readings.