Articles | Volume 12, issue 4
https://doi.org/10.5194/tc-12-1293-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/tc-12-1293-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
Antonella Senese
CORRESPONDING AUTHOR
Department of Environmental Science and Policy, Università degli
Studi di Milano, Milan, Italy
Maurizio Maugeri
Department of Environmental Science and Policy, Università degli
Studi di Milano, Milan, Italy
Eraldo Meraldi
ARPA Lombardia, Centro Nivometeorologico di Bormio, Bormio, Italy
Gian Pietro Verza
Ev-K2-CNR – Pakistan, Italian K2 Museum Skardu Gilgit Baltistan,
Islamabad, Pakistan
Roberto Sergio Azzoni
Department of Environmental Science and Policy, Università degli
Studi di Milano, Milan, Italy
Chiara Compostella
Department of Earth Sciences, Università degli Studi di Milano,
Milan, Italy
Guglielmina Diolaiuti
Department of Environmental Science and Policy, Università degli
Studi di Milano, Milan, Italy
Related authors
Roberto Sergio Azzoni, Antonella Senese, Andrea Zerboni, Maurizio Maugeri, Claudio Smiraglia, and Guglielmina Adele Diolaiuti
The Cryosphere, 10, 665–679, https://doi.org/10.5194/tc-10-665-2016, https://doi.org/10.5194/tc-10-665-2016, 2016
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In spite of quite abundant literature focusing on fine debris deposition over snow of glacier accumulation areas, less attention has been paid to the ice of the glacier melting surface. Accordingly, we developed a method for estimating ice albedo from fine debris cover quantified by a semi-automatic method. Our procedure was tested on the surface of the Forni Glacier (Italian Alps), acquiring parallel data sets of in situ measurements of ice albedo and high-resolution images.
A. Senese, M. Maugeri, E. Vuillermoz, C. Smiraglia, and G. Diolaiuti
The Cryosphere, 8, 1921–1933, https://doi.org/10.5194/tc-8-1921-2014, https://doi.org/10.5194/tc-8-1921-2014, 2014
U. Minora, D. Bocchiola, C. D'Agata, D. Maragno, C. Mayer, A. Lambrecht, B. Mosconi, E. Vuillermoz, A. Senese, C. Compostella, C. Smiraglia, and G. Diolaiuti
The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-2891-2013, https://doi.org/10.5194/tcd-7-2891-2013, 2013
Revised manuscript not accepted
Frank Paul, Philipp Rastner, Roberto Sergio Azzoni, Guglielmina Diolaiuti, Davide Fugazza, Raymond Le Bris, Johanna Nemec, Antoine Rabatel, Mélanie Ramusovic, Gabriele Schwaizer, and Claudio Smiraglia
Earth Syst. Sci. Data, 12, 1805–1821, https://doi.org/10.5194/essd-12-1805-2020, https://doi.org/10.5194/essd-12-1805-2020, 2020
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We have used Sentinel-2 satellite data from 2015 and 2016 to create a new glacier inventory for the European Alps. Outlines from earlier national inventories were used to guide manual corrections (e.g. ice in shadow or under debris cover) of the automatically mapped clean ice. We mapped 4395 glaciers, covering 1806 km2, an area loss of about 14 % (or −1.2 % per year) compared to the last inventory of 2003. We conclude that glacier shrinkage in the Alps has continued unabated since the mid-1980s.
M. Di Rita, D. Fugazza, V. Belloni, G. Diolaiuti, M. Scaioni, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1041–1048, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1041-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1041-2020, 2020
Giovanni Baccolo, Edyta Łokas, Paweł Gaca, Dario Massabò, Roberto Ambrosini, Roberto S. Azzoni, Caroline Clason, Biagio Di Mauro, Andrea Franzetti, Massimiliano Nastasi, Michele Prata, Paolo Prati, Ezio Previtali, Barbara Delmonte, and Valter Maggi
The Cryosphere, 14, 657–672, https://doi.org/10.5194/tc-14-657-2020, https://doi.org/10.5194/tc-14-657-2020, 2020
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Cryoconite is the sediment found on the surface of glaciers. The paper presents cryoconite as an environmental matrix able to accumulate natural and artificial radioactivity with unprecedented efficiency. Only samples from sites where nuclear accidents and explosions occurred present a stronger radioactive contamination. The peculiarities of glacial environments are responsible for this extreme feature, making cryoconite a useful tool tool for the monitoring of environmental radioactivity.
V. Yordanov, D. Fugazza, R. S. Azzoni, M. Cernuschi, M. Scaioni, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1803–1810, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1803-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1803-2019, 2019
Alice Crespi, Michele Brunetti, Maurizio Maugeri, Roberto Ranzi, and Massimo Tomirotti
Adv. Sci. Res., 15, 173–181, https://doi.org/10.5194/asr-15-173-2018, https://doi.org/10.5194/asr-15-173-2018, 2018
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The gridded dataset of 1845–2016 monthly precipitation series over the upper Adda river basin is presented. It allows to study the evolution of the precipitation regime over the region and to reconstruct extreme past events. The areal 1845–2016 annual precipitation series over the basin is in overall agreement with annual runoff. While the precipitation series shows no significant trend, a significant decrease is pointed out for runoff, probably driven by both natural and anthropic causes.
M. Scaioni, J. Crippa, M. Corti, L. Barazzetti, D. Fugazza, R. Azzoni, M. Cernuschi, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1029–1036, https://doi.org/10.5194/isprs-archives-XLII-2-1029-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1029-2018, 2018
Davide Fugazza, Marco Scaioni, Manuel Corti, Carlo D'Agata, Roberto Sergio Azzoni, Massimo Cernuschi, Claudio Smiraglia, and Guglielmina Adele Diolaiuti
Nat. Hazards Earth Syst. Sci., 18, 1055–1071, https://doi.org/10.5194/nhess-18-1055-2018, https://doi.org/10.5194/nhess-18-1055-2018, 2018
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This paper describes the surveys we performed in 2014 and 2016 by means of UAVs and terrestrial photogrammetry to monitor the Forni Glacier, one of the largest glaciers in the Italian Alps. We investigated the hazards related to the glacier collapse, which have been increasing recently due to the high ice melting rate. Our approach is feasible and low cost and we will repeatedly monitor the glacier to provide rapid hazard detection services to help the tourism sector.
M. Scaioni, L. Barazzetti, M. Corti, J. Crippa, R. S. Azzoni, D. Fugazza, M. Cernuschi, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 445–452, https://doi.org/10.5194/isprs-archives-XLII-3-W4-445-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-445-2018, 2018
M. Scaioni, M. Corti, G. Diolaiuti, D. Fugazza, and M. Cernuschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1547–1554, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1547-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1547-2017, 2017
Veronica Manara, Michele Brunetti, Angela Celozzi, Maurizio Maugeri, Arturo Sanchez-Lorenzo, and Martin Wild
Atmos. Chem. Phys., 16, 11145–11161, https://doi.org/10.5194/acp-16-11145-2016, https://doi.org/10.5194/acp-16-11145-2016, 2016
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This paper presents the temporal evolution of solar radiation over Italy for the 1959–2013 period and discusses possible reasons for differences between all-sky and clear-sky conditions in order to understand which part of the solar radiation variability depends on aerosols or clouds. The results give evidence of a relevant influence of both anthropogenic and natural aerosols on solar radiation long-term variability.
Roberto Sergio Azzoni, Antonella Senese, Andrea Zerboni, Maurizio Maugeri, Claudio Smiraglia, and Guglielmina Adele Diolaiuti
The Cryosphere, 10, 665–679, https://doi.org/10.5194/tc-10-665-2016, https://doi.org/10.5194/tc-10-665-2016, 2016
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Short summary
In spite of quite abundant literature focusing on fine debris deposition over snow of glacier accumulation areas, less attention has been paid to the ice of the glacier melting surface. Accordingly, we developed a method for estimating ice albedo from fine debris cover quantified by a semi-automatic method. Our procedure was tested on the surface of the Forni Glacier (Italian Alps), acquiring parallel data sets of in situ measurements of ice albedo and high-resolution images.
M. Maugeri, M. Brunetti, M. Garzoglio, and C. Simolo
Nat. Hazards Earth Syst. Sci., 15, 2347–2358, https://doi.org/10.5194/nhess-15-2347-2015, https://doi.org/10.5194/nhess-15-2347-2015, 2015
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We investigate 1-day precipitation extremes in Sicily and their frequency distribution, based on a dense data set of high-quality, homogenized station records (1921-2005).
Return levels corresponding to 10-, 50- and 100-year periods are produced on a high-resolution grid using a variant of regional frequency analysis combined with regression techniques.
The results, which clearly reflect the complexity of this region, may be useful in the context of extreme precipitation risk assessment.
C. L. Fyffe, B. W. Brock, M. P. Kirkbride, D. W. F. Mair, N. S. Arnold, C. Smiraglia, G. Diolaiuti, and F. Diotri
The Cryosphere Discuss., https://doi.org/10.5194/tcd-9-5373-2015, https://doi.org/10.5194/tcd-9-5373-2015, 2015
Revised manuscript not accepted
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Dye-tracing of a debris-covered glacier revealed that its hydrological system was not similar to that of a debris-free glacier. Beneath the thick debris covering the lower glacier the drainage system was mainly inefficient, probably due lower sub-debris melt rates causing a lack of the large inputs required to open efficient channels. However, efficient channels opened by the large melt inputs from the debris-free areas did route water from the moulins above the thick debris.
Y. Brugnara, R. Auchmann, S. Brönnimann, R. J. Allan, I. Auer, M. Barriendos, H. Bergström, J. Bhend, R. Brázdil, G. P. Compo, R. C. Cornes, F. Dominguez-Castro, A. F. V. van Engelen, J. Filipiak, J. Holopainen, S. Jourdain, M. Kunz, J. Luterbacher, M. Maugeri, L. Mercalli, A. Moberg, C. J. Mock, G. Pichard, L. Řezníčková, G. van der Schrier, V. Slonosky, Z. Ustrnul, M. A. Valente, A. Wypych, and X. Yin
Clim. Past, 11, 1027–1047, https://doi.org/10.5194/cp-11-1027-2015, https://doi.org/10.5194/cp-11-1027-2015, 2015
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A data set of instrumental pressure and temperature observations for the early instrumental period (before ca. 1850) is described. This is the result of a digitisation effort involving the period immediately after the eruption of Mount Tambora in 1815, combined with the collection of already available sub-daily time series. The highest data availability is therefore for the years 1815 to 1817. An analysis of pressure variability and of case studies in Europe is performed for that period.
A. Senese, M. Maugeri, E. Vuillermoz, C. Smiraglia, and G. Diolaiuti
The Cryosphere, 8, 1921–1933, https://doi.org/10.5194/tc-8-1921-2014, https://doi.org/10.5194/tc-8-1921-2014, 2014
U. Minora, D. Bocchiola, C. D'Agata, D. Maragno, C. Mayer, A. Lambrecht, B. Mosconi, E. Vuillermoz, A. Senese, C. Compostella, C. Smiraglia, and G. Diolaiuti
The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-2891-2013, https://doi.org/10.5194/tcd-7-2891-2013, 2013
Revised manuscript not accepted
Related subject area
Discipline: Snow | Subject: Field Studies
Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA
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Elucidation of Spatiotemporal structures from high-resolution blowing snow observations
Evaluating a prediction system for snow management
Implications of surface flooding on airborne estimates of snow depth on sea ice
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The RHOSSA campaign: multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack
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Snowmobile impacts on snowpack physical and mechanical properties
Tate G. Meehan, Ahmad Hojatimalekshah, Hans-Peter Marshall, Elias J. Deeb, Shad O'Neel, Daniel McGrath, Ryan W. Webb, Randall Bonnell, Mark S. Raleigh, Christopher Hiemstra, and Kelly Elder
The Cryosphere, 18, 3253–3276, https://doi.org/10.5194/tc-18-3253-2024, https://doi.org/10.5194/tc-18-3253-2024, 2024
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Snow water equivalent (SWE) is a critical parameter for yearly water supply forecasting and can be calculated by multiplying the snow depth by the snow density. We combined high-spatial-resolution snow depth information with ground-based radar measurements to solve for snow density. Extrapolated density estimates over our study area resolved detailed patterns that agree with the known interactions of snow with wind, terrain, and vegetation and were utilized in the calculation of SWE.
Xing Wang, Feiteng Wang, Jiawen Ren, Dahe Qin, and Huilin Li
The Cryosphere, 18, 3017–3031, https://doi.org/10.5194/tc-18-3017-2024, https://doi.org/10.5194/tc-18-3017-2024, 2024
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This work addresses snow storage at sports facilities in China. The snow pile at Big Air Shougang (BAS) lost 158.6 m3 snow (6.7 %) during pre-competition and Winter Olympic competition days in winter 2022. There were no significant variations in the snow quality of the snow piles at BAS and the National Biathlon Center except for in the upper part of the snow piles. The 0.7 and 0.4 m thick cover layers protected half the snow height over the summer at Beijing and Chongli, respectively.
Kouichi Nishimura, Masaki Nemoto, Yoichi Ito, Satoru Omiya, Kou Shimoyama, and Hirofumi Niiya
EGUsphere, https://doi.org/10.5194/egusphere-2023-1845, https://doi.org/10.5194/egusphere-2023-1845, 2023
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It is crucial to consider organized structures such as turbulence sweeps and ejections when discussing the onset and development of snow transport. This study aims to systematically measure blowing and drifting snow to investigate their spatiotemporal structures. To achieve this goal, we have deployed fifteen Snow Particle Counters (SPCs) in designated test areas and are conducting measurements using an equal number of ultrasonic anemometers, providing high temporal resolution data.
Pirmin Philipp Ebner, Franziska Koch, Valentina Premier, Carlo Marin, Florian Hanzer, Carlo Maria Carmagnola, Hugues François, Daniel Günther, Fabiano Monti, Olivier Hargoaa, Ulrich Strasser, Samuel Morin, and Michael Lehning
The Cryosphere, 15, 3949–3973, https://doi.org/10.5194/tc-15-3949-2021, https://doi.org/10.5194/tc-15-3949-2021, 2021
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A service to enable real-time optimization of grooming and snow-making at ski resorts was developed and evaluated using both GNSS-measured snow depth and spaceborne snow maps derived from Copernicus Sentinel-2. The correlation to the ground observation data was high. Potential sources for the overestimation of the snow depth by the simulations are mainly the impact of snow redistribution by skiers, compensation of uneven terrain, or spontaneous local adaptions of the snow management.
Anja Rösel, Sinead Louise Farrell, Vishnu Nandan, Jaqueline Richter-Menge, Gunnar Spreen, Dmitry V. Divine, Adam Steer, Jean-Charles Gallet, and Sebastian Gerland
The Cryosphere, 15, 2819–2833, https://doi.org/10.5194/tc-15-2819-2021, https://doi.org/10.5194/tc-15-2819-2021, 2021
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Recent observations in the Arctic suggest a significant shift towards a snow–ice regime caused by deep snow on thin sea ice which may result in a flooding of the snowpack. These conditions cause the brine wicking and saturation of the basal snow layers which lead to a subsequent underestimation of snow depth from snow radar mesurements. As a consequence the calculated sea ice thickness will be biased towards higher values.
Rosamond J. Tutton and Robert G. Way
The Cryosphere, 15, 1–15, https://doi.org/10.5194/tc-15-1-2021, https://doi.org/10.5194/tc-15-1-2021, 2021
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Snow cover is critical to everyday life for people around the globe. Regular measurements of snow cover usually occur only in larger communities because snow monitoring equipment is costly. In this study, we developed a new low-cost method for estimating snow depth and tested it continuously for 1 year at six remote field locations in coastal Labrador, Canada. Field testing suggests that this new method provides a promising option for researchers in need of a low-cost snow measurement system.
Neige Calonne, Bettina Richter, Henning Löwe, Cecilia Cetti, Judith ter Schure, Alec Van Herwijnen, Charles Fierz, Matthias Jaggi, and Martin Schneebeli
The Cryosphere, 14, 1829–1848, https://doi.org/10.5194/tc-14-1829-2020, https://doi.org/10.5194/tc-14-1829-2020, 2020
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During winter 2015–2016, the standard program to monitor the structure and stability of the snowpack at Weissflujoch, Swiss Alps, was complemented by additional measurements to compare between various traditional and newly developed techniques. Snow micro-penetrometer measurements allowed monitoring of the evolution of the snowpack's internal structure at a daily resolution throughout the winter. We show the potential of such high-resolution data for detailed evaluations of snowpack models.
Satoru Yamaguchi, Masaaki Ishizaka, Hiroki Motoyoshi, Sent Nakai, Vincent Vionnet, Teruo Aoki, Katsuya Yamashita, Akihiro Hashimoto, and Akihiro Hachikubo
The Cryosphere, 13, 2713–2732, https://doi.org/10.5194/tc-13-2713-2019, https://doi.org/10.5194/tc-13-2713-2019, 2019
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The specific surface area (SSA) of solid precipitation particles (PPs) includes detailed information of PP. This work is based on field measurement of SSA of PPs in Nagaoka, the city with the heaviest snowfall in Japan. The values of SSA strongly depend on wind speed (WS) and wet-bulb temperature (Tw) on the ground. An equation to empirically estimate the SSA of fresh PPs with WS and Tw was established and the equation successfully reproduced the fluctuation of SSA in Nagaoka.
Kelly Kochanski, Robert S. Anderson, and Gregory E. Tucker
The Cryosphere, 13, 1267–1281, https://doi.org/10.5194/tc-13-1267-2019, https://doi.org/10.5194/tc-13-1267-2019, 2019
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Wind-blown snow does not lie flat. It forms dunes, ripples, and anvil-shaped sastrugi. These features ornament much of the snow on Earth and change the snow's effects on polar climates, but they have rarely been studied. We spent three winters watching snow move through the Colorado Front Range and present our findings here, including the first time-lapse videos of snow dune and sastrugi growth.
Steven R. Fassnacht, Jared T. Heath, Niah B. H. Venable, and Kelly J. Elder
The Cryosphere, 12, 1121–1135, https://doi.org/10.5194/tc-12-1121-2018, https://doi.org/10.5194/tc-12-1121-2018, 2018
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We conducted a series of experiments to determine how snowpack properties change with varying snowmobile traffic. Experiments were initiated at a shallow (30 cm) and deep (120 cm) snow depth at two locations. Except for initiation at 120 cm, snowmobiles significantly changed the density, hardness, ram resistance, and basal layer crystal size. Temperature was not changed. A density change model was developed and tested. The results inform management of lands with snowmobile traffic.
Cited articles
Anderson, E. A. and Crawford, N. H.: The synthesis of continuous snowmelt
hydrographs on digital computer, Tech. Rep. no. 36, Department Of Civil
Engineering of the Stanford University, 1964.
Azzoni, R. S., Senese, A., Zerboni, A., Maugeri, M., Smiraglia, C., and
Diolaiuti, G. A.: Estimating ice albedo from fine debris cover quantified by
a semi-automatic method: the case study of Forni Glacier, Italian Alps, The
Cryosphere, 10, 665–679, https://doi.org/10.5194/tc-10-665-2016, 2016.
Azzoni, R. S., Fugazza, D., Zennaro, M., Zucali, M., D'Agata, C., Maragno,
M., Smiraglia, C., and Diolaiuti, G. A.: Recent structural evolution of Forni
Glacier tongue (Ortles-Cevedale Group, Central Italian Alps), J. Maps, 13,
870–878, 2017.
Beaumont, R. T.: Mt. Hood pressure pillow snow gauge, J. Appl. Meteorol., 4,
626–631, 1965.
Bocchiola, D. and Rosso, R.: The distribution of daily snow water equivalent
in the central Italian Alps, Adv. Water Resour., 30, 135–147, 2007.
Brandes, E. A., Ikeda, K., Zhang, G., Schonhuber, M., and Rasmussen, R. M.: A
statistical and physical description of hydrometeor distributions in Colorado
snowstorms using a video disdrometer, J. Appl. Meteor. Climatol., 46,
634–650, 2007.
Citterio, M., Diolaiuti, G., Smiraglia, C., Verza, G., and Meraldi, E.:
Initial results from the automatic weather station (AWS) on the ablation
tongue of Forni Glacier (Upper Valtellina, Italy), Geogr. Fis. Din. Quat.,
30, 141–151, 2007.
Currie, B. W.: Water content of snow in cold climates, B. Am. Meteorol. Soc.,
28, 150–151, 1947.
D'Agata, C., Bocchiola, D., Maragno, D., Smiraglia, C., and Diolaiuti, G. A.:
Glacier shrinkage driven by climate change in The Ortles-Cevedale group
(Stelvio National Park, Lombardy, Italian Alps) during half a century
(1954–2007), Theoretical Applied Climatology, April 2014, 116, 169–190,
https://doi.org/10.1007/s00704-013-0938-5, 2014.
Diolaiuti, G. and Smiraglia, C.: Changing glaciers in a changing climate: how
vanishing geomorphosites have been drivingdeep changes in mountain landscapes
and environments, Geomorphologie, 2, 131–152, 2010.
Dixon, D. and Boon, S.: Comparison of the SnowHydro snow sampler with
existing snow tube designs, Hydrol. Proc., 26, 2555–2562, 2012.
Fabry, F. and Szyrmer, W.: Modeling of the melting layer, Part II:
Electromagnetic, J. Atmos. Sci., 56, 3593–3600, 1999.
Ferguson, S. A., Moore, M. B., Marriott, R. T., and Speers-Hayes, P.:
Avalanche weather forecasting at the northwest avalanche center, Seattle, WA,
J. Glaciol., 36, 57–66, 1990.
Fierz, C. R. L. A., Armstrong, R. L., Durand, Y., Etchevers, P., Greene, E., McClung, D. M., and Sokratov, S. A.: The international classification for seasonal snow on the ground, Vol. 25, Paris, UNESCO/IHP, 2009.
Fugazza, D., Scaioni, M., Corti, M., D'Agata, C., Azzoni, R. S., Cernuschi,
M., Smiraglia, C., and Diolaiuti, G. A.: Combination of UAV and terrestrial
photogrammetry to assess rapid glacier evolution and conditions of glacier
hazards, Nat. Hazards Earth Syst. Sci. Discuss.,
https://doi.org/10.5194/nhess-2017-198, in review, 2017.
Gray, D. M.: Snow accumulation and distribution, in: Modeling of snow cover
runoff, edited by: Colbeck, S. C. and Ray, M., Cold Regions Research and Engineering
Laboratory, Hanover, NH, 3–33,
1979.
Heymsfield, A. J., Bansemer, A., Schmitt, C., Twohy, C., and Poellot, M. R.:
Effective ice particle densities derived from aircraft data, J. Atmos. Sci.,
61, 982–1003, 2004.
Holroyd III, E. W.: The meso- and microscale structure of Great Lakes
snowstorm bands: A synthesis of ground measurements, radar data, and
satellite observations, PhD dissertation, University at Albany, State
University of New York, 148 pp., 1971.
Johnson, J. B.: A theory of pressure sensor performance in snow, Hydrol.
Proc., 18, 53–64, 2004.
Johnson, J. B. and Schaefer, G.: The influence of thermal, hydrologic, and
snow deformation mechanisms on snow water equivalent pressure sensor
accuracy, Hydrol. Proc., 16, 3529–3542, 2002.
Johnson, J. B., Gelvin, A. B., Duvoy, P., Schaefer, G. L., Poole, G., and
Horton, G. D.: Performance characteristics of a new electronic snow water
equivalent sensor in different climates, Hydrol. Proc., 29, 1418–1433, 2015.
Judson, A. and Doesken, N.: Density of freshly fallen snow in the central
Rocky Mountains, B. Am. Meteorol. Soc., 81, 1577–1587, 2000.
Key, J., Goodison, B., Schöner, W., Godøy, Ø., Ondráš, M.,
and Snorrason, Á.: A Global Cryosphere Watch, Arctic, 68, 48–58,
doi;10.14430/arctic4476, 2015.
LaChapelle, E. R.: The density distribution of new snow, Project F, Progress
Rep. 2, USDA Forest Service, Wasatch National Forest, Alta Avalanche Study
Center, Salt Lake City, UT, 13 pp., 1962.
LaChapelle, E. R.: The fundamental process in conventional avalanche
forecasting, J. Glaciol., 26, 75–84, 1980.
Magono, C. and Nakamura, T.: Aerodynamic studies of falling snow flakes, J.
Meteorol. Soc. Jpn., 43, 139–147, 1965.
McClung, D. M. and Schaerer, P. A.: The avalanche handbook, The Mountaineers,
Seattle, WA, 1993.
Muramoto, K. I., Matsuura, K., and Shiina, T.: Measuring the density of snow
particles and snowfall rate, Electron. Commun. Jpn., 78, 71–79, 1995.
Nitu, R., Rasmussen, R., Baker, B., Lanzinger, E., Joe, P., Yang, D., Smith,
C., Roulet, Y., Goodison, B., Liang, H., Sabatini, F., Kochendorfer,
J.,Wolff, M., Hendrikx, J., Vuerich, E., Lanza, L., Aulamo, O., and
Vuglinsky, V.: WMO intercomparison of instruments and methods for the
measurement of solid precipitation and snow on the ground: organization of
the experiment, WMO Technical Conference on meteorological and environmental
instruments and methods of observations, Brussels, Belgium, 16–18, available
at:
https://www.wmo.int/pages/prog/www/IMOP/publications/IOM-109_TECO-2012/Session1/O1_01_Nitu_SPICE.pdf,
2012.
Pahaut, E.: Les cristaux de neige et leurs metamorphoses, Saint-Martin-d'Hères, Météo-France, Centre d'Etudes de la Neige, Monographie de
la Météorologie Nationale 96, 1975.
Passarelli Jr., R. E. and Srivastava, R. C.: A new aspect of snowflake
aggregation theory, J. Atmos. Sci., 36, 484–493, 1979.
Perla, R.: On contributory factors in avalanche hazard evaluation, Can.
Geotech. J., 7, 414–419, 1970.
Power, B. A., Summers, P. W., and d'Avignon, J.: Snow crystal forms and
riming effects as related to snowfall density and general storm conditions,
J. Atmos. Sci., 21, 300–305, 1964.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and Precipitation,
2nd edn., Kluwer Academic, 954 pp., 1997.
Roebber, P. J., Bruening, S. L., Schultz, D. M., and Cortinas Jr., J. V.:
Improving snowfall forecasting by diagnosing snow density, Weather Forecast.,
18, 264–287, 2003.
Schultz, D. M., Cortinas Jr., J. V., and Doswell III, C. A.: Comments on “An
operational ingredients-based methodology for forecasting midlatitude winter
season precipitation.”, Weather Forecast., 17, 160–167, 2002.
Senese, A., Diolaiuti, G., Mihalcea, C., and Smiraglia, C.: Energy and mass
balance of Forni Glacier (Stelvio National Park, Italian Alps) from a 4-year
meteorological data record, Arct. Antarct. Alp. Res., 44, 122–134, 2012a.
Senese, A., Diolaiuti, G., Verza, G. P., and Smiraglia, C.: Surface energy
budget and melt amount for the years 2009 and 2010 at the Forni Glacier
(Italian Alps, Lombardy), Geogr. Fis. Din. Quat., 35, 69–77, 2012b.
Senese, A., Maugeri, M., Vuillermoz, E., Smiraglia, C., and Diolaiuti, G.:
Using daily air temperature thresholds to evaluate snow melting occurrence
and amount on Alpine glaciers by T-index models: the case study of the Forni
Glacier (Italy), The Cryosphere, 8, 1921–1933,
https://doi.org/10.5194/tc-8-1921-2014, 2014.
Senese, A., Maugeri, M., Ferrari, S., Confortola, G., Soncini, A., Bocchiola,
D., and Diolaiuti, G.: Modelling shortwave and longwave downward radiation
and air temperature driving ablation at the Forni Glacier (Stelvio National
Park, Italy), Geogr. Fis. Dinam. Quat., 39, 89–100,
https://doi.org/10.4461/GFDQ.2016.39.9, 2016.
Smiraglia, C. and Diolaiuti, G.: Epiglacial morphology, in: Encyclopedia of
Snow, Ice and Glaciers, edited by: Singh, V. P., Haritashya, U. K., and
Singh, P., Sprinter, Berlin, 2011.
Sturm, M., Taras, B., Liston, G. E., Derksen, C., Jones, T., and Lea, J.:
Estimating snow water equivalent using snow depth data and climate classes,
J. Hydrometeorol., 11, 1380–1394, 2010.
Super, A. B. and Holroyd III, E. W.: Snow accumulation algorithm for the
WSR-88D radar: Second annual report, Bureau Reclamation Tech. Rep. R-97-05,
U.S. Dept. of Interior, Denver, CO, 77 pp., 1997.
Urbini, S., Zirizzotti, A., Baskaradas, J., Tabacco, I. E., Cafarella, L.,
Senese, A., Smiraglia, C., and Diolaiuti, G.: Airborne Radio Echo Sounding
(RES) measures on Alpine Glaciers to evaluate ice thickness and bedrock
geometry: preliminary results from pilot tests performed in the Ortles
Cevedale Group (Italian Alps), Ann. Geophys., 60, 0226, https://doi.org/10.4401/ag-7122,
2017.
Valt, M. and Cianfarra, P.: Recent snow cover variability in the Italian
Alps, Cold Reg. Sci. Technol., 64, 146–157, 2010.
Wetzel, S. W. and Martin, J. E.: An operational ingredients-based methodology
for forecasting midlatitude winter season precipitation, Weather Forecast.,
16, 156–167, 2001.
WMO: Solid Precipitation Measurement Intercomparison: Final report,
WMO/TD-No. 872, Instruments and observing methods, World Meteorological
Organization, Report No. 67, 202 pp., 1998.
WMO: Guide to Meteorological Instruments and Methods of Observation, WMO-No.
8, 7th Edn., World Meteorological Organization, 2008.
Work, R. A., Stockwell, H. J., Freeman, T. G., and Beaumont, R. T.: Accuracy
of field snow surveys, U.S. Army Cold Reg. Res. and Eng. Lab., Tech. Rep.
163, Hanover, NH, 1965.
Short summary
We present and compare 11 years of snow data measured by an automatic weather station and corroborated by data from field campaigns on the Forni Glacier in Italy. The methodology we present is interesting for remote locations such as glaciers or high alpine regions, as it makes it possible to estimate the total snow water equivalent (SWE) using a relatively inexpensive, low-power, low-maintenance, and reliable instrument such as the sonic ranger.
We present and compare 11 years of snow data measured by an automatic weather station and...