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A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)
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A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Dec 21, 2015

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Page 1: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

A Remote Snow/Water Equivalent Monitoring SystemChristian Skalka (UVM)

Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Page 2: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

How Much Snow is Out There? Snow/Water Equivalent (SWE):

measurement of water content in snowpack Not the same as snow height.

Page 3: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

How Much Snow is Out There? Real world measurement is complicated

Terrain irregularities Precipitation irregularities Wind, forest canopies, elevation Snow itself!

Page 4: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

The Importance of SWE

Regional snowpack profiles are critically important: Natural resource planning

Areas such as CA rely on snowmelt for water supply Flood predictions Avalanche forecasting

Accurate SWE monitoring system is a “holy grail” of remote monitoring Snow is dynamic, strange characteristics that make

SWE measurement difficult

Page 5: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

NOAA National SWE Estimate

Page 6: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SWE Measurement Techniques Considerable research has yielded a variety

of measurement technologies LIDAR, ground penetrating radar

Air based, ground based Significant cost, low measurement frequencies Air based techniques complicated by forest canopies

Augmented by national network of static ground-based sensors

Page 7: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SNOTEL Sites

Multiple SNOTEL sites form a national network of ground-based SWE datapoints

SNOTEL sites comprise: Snow pillows for SWE measurement Other weather sensing devices On-site datalogging Satellite uplink for remote data acquisition

(usually)

Page 8: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SNOTEL Sites

Page 9: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SNOTEL Sites: Drawbacks

SNOTEL sites are based on old technology that has significant drawbacks: High Cost (~$15,000/site) Expensive, “dumb” data acquisition technology Environmentally hazardous, unreliable SWE

sensing technology Severe deployment difficulties: mass,

construction, not adaptable to terrain

Page 10: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SNOTEL Sites: Data Acquisition SNOTEL sites use traditional dataloggers

(e.g. CR1000) ~$1500 per unit Standalone Heavy Not programmable Power hungry No intelligent processing of data

Page 11: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SNOTEL Sites: Snow Pillows

Predominant SWE sensing technology for SNOTEL sites is snow pillow 200 gallon bags of antifreeze, measure snow

loads Must be large to accommodate snow bridging Must be installed in a large,

flat area.

Page 12: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

SNOTEL Sites: Snow Pillows

Page 13: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

A New Approach

We advocate a new approach to static ground-based SWE monitoring Fundamental idea: use modern technology for

data acquisition and retrieval Fundamental idea: measure SWE via attenuation

of electromagnetic radiation, not load sensing Lightweight, low cost, robust, adaptable Improved spatial resolution

Page 14: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Attenuation of Electromagnetic Radiation Basic idea:

Electromagnetic waves of certain types are attenuated by snow/ice/water

Attenuation is measurable Amount of attenuating medium can be

extrapolated from attenuation factor Note well: this approach is robust to terrain

and snow bridging effects

Page 15: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Attenuation of Electromagnetic RadiationCandidate waveforms: Gamma radiation

Free source (the Universe) Previous work (UC Berkeley) illustrates

effectiveness Microwave radiation

Cheap off-the-shelf sources and detectors

Page 16: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Attenuation of Electromagnetic Radiation

Page 17: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

WSN Computational Platform Our computational platform based on

Wireless Sensor Networks (WSNs) Comprised of motes: low cost (~$50/unit), low

powered, extremely lightweight Networked Reprogrammable Easily integrated with a variety of sensors

Page 18: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Better Data Acquisition and Retrieval WSNs are highly adaptable:

Algorithms for in-network processing, system power control, communications

Can interoperate with variety of remote data recovery methods Radio, cell, satellite modems Multiple sites networked to single gateway Mote-based data muling

Page 19: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Data Muling Demo

Page 20: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Prototype Deployment on Mt. Mansfield An experimental network was deployed on

Mt. Mansfield in Winter 2007-2008. Test software, system robustness, power

requirements Sensing accuracy not a priority

Project developed with the help of UVM undergraduates Charley Robinson (CS), Matt Casari (EE),

Christopher Henwood (EE)

Page 21: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Site Layout

USGS stream gage site (Ranch Camp)

Three site network Two in clearing One in the forest

Air temperature (x3) Snow height (x3) Snow weight (rudimentary

load sensors)

Page 22: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Ranch Camp Prototype Deployment

Page 23: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Ranch Camp Prototype Deployment

Page 24: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Deployment Effort

The measurement system is transportable by backpack 3 backpacks for 3 sites

When the system was installed at the Ranch Camp Site the packs were carried in for a ½ hour hike

Pack Requirements: (2) External Frame Backpacks (1) Standard Large Camping Style Pack

Page 25: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Frame

2-5’ lengths of ¾” metal tube

Threaded ends Allows many configurations

with simple adapter changes

Wires are ran through the pipe for protection

Design allows ease of installation and modification

Page 26: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Power System

12V 12Ah Battery Powers snow weight sensors

4xAA Battery -> Upgraded to D cell Powers mote & height sensor

Predicted life of 150 days Prototype experimentation illustrated that this is a

significant overestimate due to cold weather

Page 27: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Site Costs

Initial Proposal:Cost of all Sites: $3678

Cost for entire project (four sites): $4000

Page 28: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Future Work

Develop sensor technologies Currently in initial phases of testing microwave

and gamma ray attenuation Hardware and software issues

Develop communication technologies Time synchronization for networked sites Remote data retrieval (cell modem interface)

Page 29: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Future Work

“Ruggedize” system hardware Current work by Jeff Frolik and Matt Seekins

Solve power supply issues Move to wet-cell batteries exclusively

Future deployments and testing Mt. Mansfield, Central Sierra Snow Laboratory

Readily available ground truthing

Page 30: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Conclusion

SWE data is critically important to society Static ground-based measurement essential

to large-scale SWE estimates Our proposed technology significantly

advances state-of-the-art Low cost, easily deployed, better spatial resolution Highly adaptable, many applications Key ideas: WSN computational infrastructure, new

robust sensing technology

Page 31: A Remote Snow/Water Equivalent Monitoring System Christian Skalka (UVM) Joint work with Jeff Frolik, Beverly Wemple, Tom Neumann (UVM)

Conclusion

For more info go to:

http://www.cems.uvm.edu/research/cems/snow/swe.php