Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-3277-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-3277-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jul 2024
Research article |
| 23 Jul 2024
| 23 Jul 2024
Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Warren D. Helgason
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Department of Civil, Geological, and Environmental Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
John W. Pomeroy
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Hydrol. Earth Syst. Sci., 26, 5555–5575, https://doi.org/10.5194/hess-26-5555-2022, https://doi.org/10.5194/hess-26-5555-2022, 2022
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Hydrol. Earth Syst. Sci., 26, 1801–1819, https://doi.org/10.5194/hess-26-1801-2022, https://doi.org/10.5194/hess-26-1801-2022, 2022
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Julie M. Thériault, Stephen J. Déry, John W. Pomeroy, Hilary M. Smith, Juris Almonte, André Bertoncini, Robert W. Crawford, Aurélie Desroches-Lapointe, Mathieu Lachapelle, Zen Mariani, Selina Mitchell, Jeremy E. Morris, Charlie Hébert-Pinard, Peter Rodriguez, and Hadleigh D. Thompson
Earth Syst. Sci. Data, 13, 1233–1249, https://doi.org/10.5194/essd-13-1233-2021, https://doi.org/10.5194/essd-13-1233-2021, 2021
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This article discusses the data that were collected during the Storms and Precipitation Across the continental Divide (SPADE) field campaign in spring 2019 in the Canadian Rockies, along the Alberta and British Columbia border. Various instruments were installed at five field sites to gather information about atmospheric conditions focussing on precipitation. Details about the field sites, the instrumentation used, the variables collected, and the collection methods and intervals are presented.
Vincent Vionnet, Christopher B. Marsh, Brian Menounos, Simon Gascoin, Nicholas E. Wayand, Joseph Shea, Kriti Mukherjee, and John W. Pomeroy
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Mountain snow cover provides critical supplies of fresh water to downstream users. Its accurate prediction requires inclusion of often-ignored processes. A multi-scale modelling strategy is presented that efficiently accounts for snow redistribution. Model accuracy is assessed via airborne lidar and optical satellite imagery. With redistribution the model captures the elevation–snow depth relation. Redistribution processes are required to reproduce spatial variability, such as around ridges.
Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, Danny Marks, Christoph Marty, Cecile B. Menard, Olga Nasonova, Tomoko Nitta, John Pomeroy, Gerd Schädler, Vladimir Semenov, Tatiana Smirnova, Sean Swenson, Dmitry Turkov, Nander Wever, and Hua Yuan
The Cryosphere, 14, 4687–4698, https://doi.org/10.5194/tc-14-4687-2020, https://doi.org/10.5194/tc-14-4687-2020, 2020
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Climate models are uncertain in predicting how warming changes snow cover. This paper compares 22 snow models with the same meteorological inputs. Predicted trends agree with observations at four snow research sites: winter snow cover does not start later, but snow now melts earlier in spring than in the 1980s at two of the sites. Cold regions where snow can last until late summer are predicted to be particularly sensitive to warming because the snow then melts faster at warmer times of year.
Cited articles
Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075–1088, https://doi.org/10.5194/tc-10-1075-2016, 2016.
Carroll, S. S. and Carroll, T. R.: Effect of uneven snow cover on airborne snow water equivalent estimates obtained by measuring terrestrial gamma radiation, Water Resour. Res., 25, 1505–1510, https://doi.org/10.1029/WR025i007p01505, 1989.
Carroll, T.: Airborne Gamma Radiation Snow Survey Program: A User's Guide, Version 5. 0, National Operation Hydrologic Remote Sensing Center, Chanhassen, Minnesota, 14 pp., https://www.nohrsc.noaa.gov/technology/pdf/tom_gamma50.pdf (last access: 16 July 2024), 2001.
Cho, E., Jacobs, J. M., and Vuyovich, C. M.: The Value of Long-Term (40 years) Airborne Gamma Radiation SWE Record for Evaluating Three Observation-Based Gridded SWE Data Sets by Seasonal Snow and Land Cover Classifications, Water Resour. Res., 56, 23, https://doi.org/10.1029/2019WR025813, 2019.
Cho, E., Jacobs, J. M., Schroeder, R., Tuttle, S. E., and Olheiser, C.: Improvement of operational airborne gamma radiation snow water equivalent estimates using SMAP soil moisture, Remote Sens. Environ., 240, 111668, https://doi.org/10.1016/j.rse.2020.111668, 2020.
Coles, G. A., Graham, D. R., and Allision, R. D.: Experience Gained Operating Snow Pillows on a near Real-Time Basis on the Mountainous Areas of Alberta, in: Workshop on Snow Property Measurement, Lake Louise, Alberta, 13, https://research-groups.usask.ca/hydrology/documents/pubs/papers/coles_et_al_1985.pdf (last access: 16 July 2024), 1985.
DeBeer, C. M. and Pomeroy, J. W.: Simulation of the snowmelt runoff contributing area in a small alpine basin, Hydrol. Earth Syst. Sci., 14, 1205–1219, https://doi.org/10.5194/hess-14-1205-2010, 2010.
Deems, J., Painter, T., and Finnegan, D.: Lidar measurement of snow depth: a review, J. Glaciol., 59, 467–479, https://doi.org/10.3189/2013JoG12J154, 2013.
Essery, R. and Pomeroy, J.: Implications of spatial distributions of snow mass and melt rate for snow-cover depletion: theoretical considerations, Ann. Glaciol., 38, 261–265, https://doi.org/10.3189/172756404781815275, 2004a.
Essery, R. and Pomeroy, J.: Vegetation and Topographic Control of Wind-Blown Snow Distributions in Distributed and Aggregated Simulations for an Arctic Tundra Basin, J. Hydrometeorol., 5, 735–744, https://doi.org/10.1175/1525-7541(2004)005<0735:VATCOW>2.0.CO;2, 2004b.
Faria, D. A., Pomeroy, J. W., and Essery, R. L. H.: Effect of covariance between ablation and snow water equivalent on depletion of snow-covered area in a forest, Hydrol. Process., 14, 2683–2695, https://doi.org/10.1002/1099-1085(20001030)14:15<2683::AID-HYP86>3.0.CO;2-N, 2000.
Fernández, A.: An energy balance model of seasonal snow evolution, Phys. Chem. Earth, 23, 661–666, https://doi.org/10.1016/S0079-1946(98)00107-4, 1998.
Filhol, S. and Sturm, M.: Snow bedforms: A review, new data, and a formation model, J. Geophys. Res.-Earth, 120, 1645–1669, https://doi.org/10.1002/2015JF003529, 2015.
Gray, D. M. and Landine, P. G.: An Energy-Budget Snowmelt Model for the Canadian Prairies, Can. J. Earth Sci., 25, 1292–1303, 1988.
Grünewald, T., Schirmer, M., Mott, R., and Lehning, M.: Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment, The Cryosphere, 4, 215–225, https://doi.org/10.5194/tc-4-215-2010, 2010.
Harder, P., Schirmer, M., Pomeroy, J., and Helgason, W.: Accuracy of snow depth estimation in mountain and prairie environments by an unmanned aerial vehicle, The Cryosphere, 10, 2559–2571, https://doi.org/10.5194/tc-10-2559-2016, 2016.
Harder, P., Pomeroy, J. W., and Helgason, W. D.: Implications of stubble management on snow hydrology and meltwater partitioning, Can. Water Resour. J./Rev. Can. des ressources hydriques, 44, 193–204, https://doi.org/10.1080/07011784.2019.1575774, 2019.
Harder, P., Pomeroy, J. W., and Helgason, W. D.: Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques, The Cryosphere, 14, 1919–1935, https://doi.org/10.5194/tc-14-1919-2020, 2020.
Harder, P., Helgason, W., and Pomeroy, J.: UAV-borne gamma spectrometry and lidar observations of prairie snow water equivalent, Federated Research Data Repository [data set], https://doi.org/10.20383/103.0846, 2023.
He, Z., Shook, K., Spence, C., Pomeroy, J. W., and Whitfield, C. J.: Modeling the sensitivity of snowmelt , soil moisture and streamflow generation to climate over the Canadian Prairies using a basin classification approach, Hydrol. Earth Syst. Sci., 2023.
Hendriks, P. H. G. M., Limburg, J., and de Meijer, R. J.: Full-spectrum analysis of natural gamma-ray spectra, J. Environ. Radioact., 53, 365–380, 2001.
Hopkinson, C. and Collins, T.: Alberta front ranges lidar snow depth assessment: Final report, Applied Geomatics Research Group, Middleton, NS, 55 pp., 2009.
Isenburg, M.: LAStools – Efficient LiDAR Processing Software, rapidlasso GmbH [software], http://rapidlasso.com/LAStools (last access: 7 July 2024), 2019.
Jacobs, J. M., Hunsaker, A. G., Sullivan, F. B., Palace, M., Burakowski, E. A., Herrick, C., and Cho, E.: Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States, The Cryosphere, 15, 1485–1500, https://doi.org/10.5194/tc-15-1485-2021, 2021.
Janowicz, J. R., D. M. Gray, and J. W. Pomeroy: Spatial variability of fall soil moisture and spring snow water equivalent within a mountainous sub-arctic watershed, in: Proceedings of the Eastern Snow Conference, vol. 60, 127–139, https://research-groups.usask.ca/hydrology/documents/pubs/papers/janowicz_et_al_2003.pdf (last access: 16 July 2024), 2003.
Kinar, N. J. and Pomeroy, J. W.: Determining snow water equivalent by acoustic sounding, Hydrol. Process., 21, 2623–2640, 2007.
Kinar, N. J. and Pomeroy, J. W.: Measurement of the physical properties of the snowpack, Rev. Geophys., 53, 481–544, https://doi.org/10.1002/2015RG000481, 2015.
King, J., Pomeroy, J. W., Gray, D. M., Fierz, C., Fohn, P. M. B., Harding, R. J., Jordan, R., Martin, E., and Pluss, C.: Snow – atmosphere energy and mass balance, in: Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling, edited by: Armstrong, R. and Brun, E., Cambridge University Press, Cambridge, England, 70–124, ISBN 9780521854542, 2008.
Liston, G. E. and Sturm, M.: A snow-transport model for complex terrain, J. Glaciol., 44, 498–516, https://doi.org/10.3189/S0022143000002021, 1998.
Long, D. G., Brodzik, M. J., and Hardman, M. A.: Enhanced-Resolution SMAP Brightness Temperature Image Products, IEEE T. Geosci. Remote, 57, 4151–4163, https://doi.org/10.1109/TGRS.2018.2889427, 2019.
Marti, R., Gascoin, S., Berthier, E., de Pinel, M., Houet, T., and Laffly, D.: Mapping snow depth in open alpine terrain from stereo satellite imagery, The Cryosphere, 10, 1361–1380, https://doi.org/10.5194/tc-10-1361-2016, 2016.
Martin, P. G., Connor, D. T., Estrada, N., El-turke, A., Megson-smith, D., Jones, C. P., Kreamer, D. K., and Scott, T. B.: Radiological identification of near-surface mineralogical deposits using low-altitude unmanned aerial vehicle, Remote Sens.-Basel, 12, 1–16, https://doi.org/10.3390/rs12213562, 2020.
Medusa Radiometrics: Gamman Manual, Medusa Radiometrics BV, https://docs.medusa-radiometrics.com/gamman-manual/latest/software-reference (last access: 11 April 2024).
Offenbacher, E. L. and Colbeck, S. C.: Remote Sensing of Snow Covers Using the Gamma-Ray Technique, CRREL Report 91-9, Cold Regions Research & Engineering Laboratory, Hanover, New Hampshire, 25 pp., http://hdl.handle.net/11681/9113 (last access: 16 July 2024), 1991.
Painter, T. H., Berisford, D. F., Boardman, J. W., Bormann, K. J., Deems, J. S., Gehrke, F., Hedrick, A., Joyce, M., Laidlaw, R., Marks, D., Mattmann, C., McGurk, B., Ramirez, P., Richardson, M., Skiles, S. M. K., Seidel, F. C., and Winstral, A.: The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo, Remote Sens. Environ., 184, 139–152, https://doi.org/10.1016/j.rse.2016.06.018, 2016.
Peck, E. L., Bissell, V. C., Jones, E. B., and Burge, D. L.: Evaluation Snow Water Equivalent by Airborne Measurement of Passive Terrestrial Gamma Radiation, Water Resour. Res., 17, 1425–1430, https://doi.org/10.1029/WR007i005p01151, 1971.
Pomeroy, J. W. and Goodison, B. E.: Winter and Snow, in: The Surface Climates of Canada, edited by: Bailey, W. G., Oke, R., and Rouse, W. R., McGill-Queen's Univ Press, Montreal, ISBN 0-7735-1672-7, 68–100, 1997.
Pomeroy, J. W. and Gray, D. M.: Snow accumulation, relocation and management, Science Report No. 7, National Hydrology Research Institute, Environment Canada, Saskatoon, SK, 144 pp., 1995.
Pomeroy, J. W., Gray, D. M., Shook, K. R., Toth, B., Essery, R. L. H., Pietroniro, A., and Hedstrom, N.: An evaluation of snow accumulation and ablation processes for land surface modelling, Hydrol. Process., 12, 2339–2367, https://doi.org/10.1002/(SICI)1099-1085(199812)12:15<2339::AID-HYP800>3.0.CO;2-L, 1998.
Pomeroy, J. W., de Boer, D., and Martz, L. W.: Hydrology and Water Resources, in: Saskatchewan Geographic Perspectives, edited by: Thraves, B. D., Lewry, M. L., Dale, J. E., and Schlichtmann, H., Canadian Plains Research Center, University of Regina, Regina Saskatchewan 63–80, ISBN 978 0 88977 189 5, 2007.
Reinhardt, N. and Herrmann, L.: Gamma-ray spectrometry as versatile tool in soil science: A critical review, J. Plant Nutr. Soil Sc., 182, 9–27, https://doi.org/10.1002/jpln.201700447, 2019.
Shook, K. and Gray, D. M.: Small-Scale Spatial Structure of Shallow Snowcovers, Hydrol. Process., 10, 1283–1292, 1996.
Shook, K., Gray, D. M., and Pomeroy, J. W.: Temporal Variation in Snowcover Area During Melt in Prairie and Alpine Environments, Nord. Hydrol., 24, 183–198, 1993.
Smith, C. D., Kontu, A., Laffin, R., and Pomeroy, J. W.: An assessment of two automated snow water equivalent instruments during the WMO Solid Precipitation Intercomparison Experiment, The Cryosphere, 11, 101–116, https://doi.org/10.5194/tc-11-101-2017, 2017.
Steppuhn, H.: Accuracy in Estimating Snow Cover Water Equivalents, in: Canadian Hydrology Symposium, in: Canadian Hydrology Symposium – 1975 Proceedings, 11–14 August 1975, Winnipeg, Manitoba, Associate Committee on Hydrology, National Research Council of Canada, 5, https://research-groups.usask.ca/hydrology/documents/pubs/papers/steppuhn_1975.pdf (last access: 16 July 2024), 1975.
Steppuhn, H. and Dyck, G. E.: Estimating True Basin Snowcover, in: Proceedings of Interdisciplinary Symposium on Advanced Concepts and Techniques in the Study of Snow and Ice Resourses, Washington, DC, The National Academies Press, 314–328, https://research-groups.usask.ca/hydrology/documents/pubs/papers/steppuhn_dyck_1974.pdf (last access: 16 July 2024), 1974.
Tedesco, M., Derksen, C., Deems, J. S., and Foster, J. L.: Remote sensing of snow depth and snow water equivalent, in: Remote Sensing ofthe Cryosphere, edited by: Tedesco, M., John Wiley & Sons, Ltd, 73–98, ISBN 9781118368855, 2015.
Tong, J., Déry, S. J., Jackson, P. L., and Derksen, C.: Testing snow water equivalent retrieval algorithms for passive microwave remote sensing in an alpine watershed of western Canada, Can. J. Remote Sens., 36, S74–S86, https://doi.org/10.5589/m10-009, 2010.
Topp, G. C.: Soil Water Content from Gamma Ray Attenuation: A Comparision of Ionization Chamber and Scintillation Detectors, Can. J. Soil Sci., 50, 439–447, 1970.
Trujillo, E., Ramý, J. A., and Elder, K.: Topographic, meteorologic, and canopy controls on the scaling characteristics of the spatial distribution of snow depth fields, Water Resour. Res., 43, W07409, https://doi.org/10.1029/2006WR005317, 2007.
Tsang, L., Durand, M., Derksen, C., Barros, A. P., Kang, D.-H., Lievens, H., Marshall, H.-P., Zhu, J., Johnson, J., King, J., Lemmetyinen, J., Sandells, M., Rutter, N., Siqueira, P., Nolin, A., Osmanoglu, B., Vuyovich, C., Kim, E., Taylor, D., Merkouriadi, I., Brucker, L., Navari, M., Dumont, M., Kelly, R., Kim, R. S., Liao, T.-H., Borah, F., and Xu, X.: Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing, The Cryosphere, 16, 3531–3573, https://doi.org/10.5194/tc-16-3531-2022, 2022.
Tuttle, S. E., Jacobs, J. M., Vuyovich, C. M., Olheiser, C., and Cho, E.: Intercomparison of snow water equivalent observations in the Northern Great Plains, Hydrol. Process., 32, 817–829, https://doi.org/10.1002/hyp.11459, 2018.
Walker, B., Wilcox, E. J., and Marsh, P.: Accuracy assessment of late winter snow depth mapping for tundra environments using structure-from-motion photogrammetry, Arctic Science, 7, 588–604, https://doi.org/10.1139/as-2020-0006, 2021.
Ward, S. H.: Gamma-Ray Spectrometry in Geologic Mapping and Uranium Exploration, Econ. Geol., https://doi.org/10.5382/AV75.24, 1981.
Wright, M., Kavanaugh, J., and Labine, C.: Performance Analysis of GMON3 Snow Water Equivalency Sensor, in: Western Snow Conference, Stateline, Nevada 18–21 April 2011, 105–108, https://westernsnowconference.org/bibliography/2011Wright.pdf (last access: 16 July 2024), 2011.
Short summary
Remote sensing the amount of water in snow (SWE) at high spatial resolutions is an unresolved challenge. In this work, we tested a drone-mounted passive gamma spectrometer to quantify SWE. We found that the gamma observations could resolve the average and spatial variability of SWE down to 22.5 m resolutions. Further, by combining drone gamma SWE and lidar snow depth we could estimate SWE at sub-metre resolutions which is a new opportunity to improve the measurement of shallow snowpacks.
Remote sensing the amount of water in snow (SWE) at high spatial resolutions is an unresolved...
