Articles | Volume 11, issue 1
https://doi.org/10.5194/tc-11-139-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-139-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jan 2017
Research article |
| 23 Jan 2017
Evaluation of single-band snow-patch mapping using high-resolution microwave remote sensing: an application in the maritime Antarctic
CEG/IGOT – Universidade de Lisboa, Lisbon, Portugal
Juan Javier Jiménez
CEG/IGOT – Universidade de Lisboa, Lisbon, Portugal
Department of Physics and Mathematics, University of Alcalá de Henares, Alcalá de Henares, Spain
Pedro Pina
CERENA/IST – Universidade de Lisboa, Lisbon, Portugal
João Catalão
IDL – Universidade de Lisboa, Lisbon, Portugal
Gonçalo Vieira
CEG/IGOT – Universidade de Lisboa, Lisbon, Portugal
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Earth Syst. Sci. Data, 13, 3179–3201, https://doi.org/10.5194/essd-13-3179-2021, https://doi.org/10.5194/essd-13-3179-2021, 2021
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Fogo in Cabo Verde is one of the most active ocean island volcanoes on Earth, posing important hazards to local populations and at a regional level. The last eruption occurred from November 2014 to February 2015. A survey of the Chã das Caldeiras area was conducted using a fixed-wing unmanned aerial vehicle. A point cloud, digital surface model and orthomosaic with 10 and 25 cm resolutions are provided, together with the full aerial survey projects and datasets.
Gonçalo Vieira, Carla Mora, and Ali Faleh
The Cryosphere, 11, 1691–1705, https://doi.org/10.5194/tc-11-1691-2017, https://doi.org/10.5194/tc-11-1691-2017, 2017
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The Toubkal is the highest massif in North Africa (4167 m). Landforms and deposits above 3000 m show the effects of frost action in the present-day geomorphological dynamics, but data on ground temperatures were lacking. In this study ground surface temperature data measured across an altitudinal transect are presented and analysed for the first time. The highlight is the possible occurrence of permafrost at an elevation of 3800 m, which may be of high ecological and hydrological significance.
Joana Pedro Baptista, Goncalo Brito Guapo Teles Vieira, Hyoungseok Lee, António Manuel de Carvalho Soares Correia, and Sebastian Westermann
EGUsphere, https://doi.org/10.5194/egusphere-2025-150, https://doi.org/10.5194/egusphere-2025-150, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
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Permafrost underlies ice-free areas of Antarctica, but its response to long-term warming is unclear due to a limited number of monitoring sites. To address this, we used the CryoGrid model, forced with climate data, to estimate permafrost temperatures and active layer thickness at King Sejong Station since 1950. The results show ground temperatures rising 0.25 °C per decade and the active layer thickening by 2 m. Warming has accelerated since 2015, highlighting the need for continued monitoring.
Eduardo Soares Nascimento, Allan Alves Lopes Ferreira, Guilherme Pina Cardim, Pedro Pina, and Erivaldo Antonio da Silva
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 245–251, https://doi.org/10.5194/isprs-annals-X-3-2024-245-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-245-2024, 2024
Mohammad Farzamian, Teddi Herring, Gonçalo Vieira, Miguel Angel de Pablo, Borhan Yaghoobi Tabar, and Christian Hauck
The Cryosphere, 18, 4197–4213, https://doi.org/10.5194/tc-18-4197-2024, https://doi.org/10.5194/tc-18-4197-2024, 2024
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An automated electrical resistivity tomography (A-ERT) system was developed and deployed in Antarctica to monitor permafrost and active-layer dynamics. The A-ERT, coupled with an efficient processing workflow, demonstrated its capability to monitor real-time thaw depth progression, detect seasonal and surficial freezing–thawing events, and assess permafrost stability. Our study showcased the potential of A-ERT to contribute to global permafrost monitoring networks.
E. S. Nascimento, A. A. L. Ferreira, T. G. Godoy, C. F. M. Fontoura Júnior, G. P. Cardim, P. M. B. D. Pina, and E. A. da Silva
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C. Soncco, G. Vieira, G. Goyanes, and E. Castro
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 553–558, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-553-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-553-2022, 2022
Gonçalo Vieira, Carla Mora, Pedro Pina, Ricardo Ramalho, and Rui Fernandes
Earth Syst. Sci. Data, 13, 3179–3201, https://doi.org/10.5194/essd-13-3179-2021, https://doi.org/10.5194/essd-13-3179-2021, 2021
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Fogo in Cabo Verde is one of the most active ocean island volcanoes on Earth, posing important hazards to local populations and at a regional level. The last eruption occurred from November 2014 to February 2015. A survey of the Chã das Caldeiras area was conducted using a fixed-wing unmanned aerial vehicle. A point cloud, digital surface model and orthomosaic with 10 and 25 cm resolutions are provided, together with the full aerial survey projects and datasets.
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The Cryosphere, 14, 1105–1120, https://doi.org/10.5194/tc-14-1105-2020, https://doi.org/10.5194/tc-14-1105-2020, 2020
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A 2-D automated electrical resistivity tomography (A-ERT) system was installed for the first time in Antarctica at Deception Island to (i) monitor subsurface freezing and thawing processes on a daily and seasonal basis and map the spatial and temporal variability of thaw depth and to (ii) study the impact of short-lived extreme meteorological events on active layer dynamics.
Jaroslav Obu, Sebastian Westermann, Gonçalo Vieira, Andrey Abramov, Megan Ruby Balks, Annett Bartsch, Filip Hrbáček, Andreas Kääb, and Miguel Ramos
The Cryosphere, 14, 497–519, https://doi.org/10.5194/tc-14-497-2020, https://doi.org/10.5194/tc-14-497-2020, 2020
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Little is known about permafrost in the Antarctic outside of the few research stations. We used a simple equilibrium permafrost model to estimate permafrost temperatures in the whole Antarctic. The lowest permafrost temperature on Earth is −36 °C in the Queen Elizabeth Range in the Transantarctic Mountains. Temperatures are commonly between −23 and −18 °C in mountainous areas rising above the Antarctic Ice Sheet, between −14 and −8 °C in coastal areas, and up to 0 °C on the Antarctic Peninsula.
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The Cryosphere, 11, 1691–1705, https://doi.org/10.5194/tc-11-1691-2017, https://doi.org/10.5194/tc-11-1691-2017, 2017
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The Toubkal is the highest massif in North Africa (4167 m). Landforms and deposits above 3000 m show the effects of frost action in the present-day geomorphological dynamics, but data on ground temperatures were lacking. In this study ground surface temperature data measured across an altitudinal transect are presented and analysed for the first time. The highlight is the possible occurrence of permafrost at an elevation of 3800 m, which may be of high ecological and hydrological significance.
Sandra Heleno, Magda Matias, Pedro Pina, and António Jorge Sousa
Nat. Hazards Earth Syst. Sci., 16, 1035–1048, https://doi.org/10.5194/nhess-16-1035-2016, https://doi.org/10.5194/nhess-16-1035-2016, 2016
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A method for semi-automatic landslide detection and mapping is presented and tested using a very high-resolution satellite image, sensed 3 days after a major damaging landslide event that occurred in Madeira Island (20 February 2010). The testing is developed in a 15 km2 wide area, where 95 % of the number of landslides scars is detected by this approach.
M. Oliva, G. Vieira, P. Pina, P. Pereira, M. Neves, and M. C. Freitas
Solid Earth, 5, 901–914, https://doi.org/10.5194/se-5-901-2014, https://doi.org/10.5194/se-5-901-2014, 2014
C. Lira, M. Lousada, A. P. Falcão, A. B. Gonçalves, S. Heleno, M. Matias, M. J. Pereira, P. Pina, A. J. Sousa, R. Oliveira, and A. B. Almeida
Nat. Hazards Earth Syst. Sci., 13, 709–719, https://doi.org/10.5194/nhess-13-709-2013, https://doi.org/10.5194/nhess-13-709-2013, 2013
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The Cryosphere, 19, 201–218, https://doi.org/10.5194/tc-19-201-2025, https://doi.org/10.5194/tc-19-201-2025, 2025
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The Cryosphere, 18, 5619–5639, https://doi.org/10.5194/tc-18-5619-2024, https://doi.org/10.5194/tc-18-5619-2024, 2024
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Ground measurements of snow water equivalent (SWE) are vital for understanding the accuracy of large-scale estimates from satellites and climate models. We compare two types of measurements – snow courses and airborne gamma SWE estimates – and analyze how measurement type impacts the accuracy assessment of gridded SWE products. We use this analysis to produce a combined reference SWE dataset for North America, applicable for future gridded SWE product evaluations and other applications.
Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler
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We generated annual maps of snow melt-out day at 20 m resolution over a period of 38 years from ten different satellites. This study fills a knowledge gap on the evolution of mountain snow in Europe by covering a much longer period and by characterizing trends at much higher resolution than previous studies. We found a trend for earlier melt-out with an average reduction of 5.51 days per decade over the French Alps and of 4.04 day per decade over the Pyrenees over the period 1986–2023.
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The Cryosphere, 18, 5139–5152, https://doi.org/10.5194/tc-18-5139-2024, https://doi.org/10.5194/tc-18-5139-2024, 2024
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Snow distribution characterization is essential for accurate snow water estimation for water resource prediction from existing in situ observations and remote-sensing data at a finite spatial resolution. Four different observed snow distribution datasets were analyzed for Gaussianity. We found that non-Gaussianity of snow distribution is a signature of the wind redistribution effect. Generally, seasonal snowpack can be approximated well by a Gaussian distribution for a fully snow-covered area.
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The Cryosphere, 18, 4955–4969, https://doi.org/10.5194/tc-18-4955-2024, https://doi.org/10.5194/tc-18-4955-2024, 2024
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We look at three commonly used snow depth datasets that are produced through a combination of snow modelling and historical measurements (reanalysis). When compared with each other, these datasets have differences that arise for various reasons. We show that a simple snow model can be used to examine these inconsistencies and highlight issues. This method indicates that one of the complex datasets should be excluded from further studies.
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The Cryosphere, 18, 4089–4109, https://doi.org/10.5194/tc-18-4089-2024, https://doi.org/10.5194/tc-18-4089-2024, 2024
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The snow cover over the Tibetan Plateau (TP) plays a role in climate and hydrological systems, yet there are uncertainties in snow cover fraction (SCF) estimations within reanalysis datasets. This study utilized the Snow Property Inversion from Remote Sensing (SPIReS) SCF data to assess the accuracy of eight widely used reanalysis SCF datasets over the TP. Factors contributing to uncertainties were analyzed, and a combined averaging method was employed to provide optimized SCF simulations.
Stefanie Arndt, Nina Maaß, Leonard Rossmann, and Marcel Nicolaus
The Cryosphere, 18, 2001–2015, https://doi.org/10.5194/tc-18-2001-2024, https://doi.org/10.5194/tc-18-2001-2024, 2024
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Antarctic sea ice maintains year-round snow cover, crucial for its energy and mass budgets. Despite its significance, snow depth remains poorly understood. Over the last decades, Snow Buoys have been deployed extensively on the sea ice to measure snow accumulation but not actual depth due to snow transformation into meteoric ice. Therefore, in this study we utilize sea ice and snow models to estimate meteoric ice fractions in order to calculate actual snow depth in the Weddell Sea.
Benjamin Poschlod and Anne Sophie Daloz
The Cryosphere, 18, 1959–1981, https://doi.org/10.5194/tc-18-1959-2024, https://doi.org/10.5194/tc-18-1959-2024, 2024
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Information about snow depth is important within climate research but also many other sectors, such as tourism, mobility, civil engineering, and ecology. Climate models often feature a spatial resolution which is too coarse to investigate snow depth. Here, we analyse high-resolution simulations and identify added value compared to a coarser-resolution state-of-the-art product. Also, daily snow depth extremes are well reproduced by two models.
Zachary Hoppinen, Shadi Oveisgharan, Hans-Peter Marshall, Ross Mower, Kelly Elder, and Carrie Vuyovich
The Cryosphere, 18, 575–592, https://doi.org/10.5194/tc-18-575-2024, https://doi.org/10.5194/tc-18-575-2024, 2024
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We used changes in radar echo travel time from multiple airborne flights to estimate changes in snow depths across Idaho for two winters. We compared our radar-derived retrievals to snow pits, weather stations, and a 100 m resolution numerical snow model. We had a strong Pearson correlation and root mean squared error of 10 cm relative to in situ measurements. Our retrievals also correlated well with our model, especially in regions of dry snow and low tree coverage.
Vilna Tyystjärvi, Pekka Niittynen, Julia Kemppinen, Miska Luoto, Tuuli Rissanen, and Juha Aalto
The Cryosphere, 18, 403–423, https://doi.org/10.5194/tc-18-403-2024, https://doi.org/10.5194/tc-18-403-2024, 2024
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At high latitudes, winter ground surface temperatures are strongly controlled by seasonal snow cover and its spatial variation. Here, we measured surface temperatures and snow cover duration in 441 study sites in tundra and boreal regions. Our results show large variations in how much surface temperatures in winter vary depending on the landscape and its impact on snow cover. These results emphasise the importance of understanding microclimates and their drivers under changing winter conditions.
Yiwen Fang, Yufei Liu, Dongyue Li, Haorui Sun, and Steven A. Margulis
The Cryosphere, 17, 5175–5195, https://doi.org/10.5194/tc-17-5175-2023, https://doi.org/10.5194/tc-17-5175-2023, 2023
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Using newly developed snow reanalysis datasets as references, snow water storage is at high uncertainty among commonly used global products in the Andes and low-resolution products in the western United States, where snow is the key element of water resources. In addition to precipitation, elevation differences and model mechanism variances drive snow uncertainty. This work provides insights for research applying these products and generating future products in areas with limited in situ data.
Kerttu Kouki, Kari Luojus, and Aku Riihelä
The Cryosphere, 17, 5007–5026, https://doi.org/10.5194/tc-17-5007-2023, https://doi.org/10.5194/tc-17-5007-2023, 2023
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We evaluated snow cover properties in state-of-the-art reanalyses (ERA5 and ERA5-Land) with satellite-based datasets. Both ERA5 and ERA5-Land overestimate snow mass, whereas albedo estimates are more consistent between the datasets. Snow cover extent (SCE) is accurately described in ERA5-Land, while ERA5 shows larger SCE than the satellite-based datasets. The trends in snow mass, SCE, and albedo are mostly negative in 1982–2018, and the negative trends become more apparent when spring advances.
Kelsey Spehlmann, Eugénie Euskirchen, and Svetlana Stuefer
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-153, https://doi.org/10.5194/tc-2023-153, 2023
Revised manuscript accepted for TC
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Sublimation is the hidden portion of the water cycle where snow changes phase directly to water vapor, skipping the liquid state. Though sublimation is difficult to measure, especially in remote regions such as arctic and subarctic Alaska where this study took place, our measurements confirm that sublimation is a substantial component of the annual water cycle. Results from this research contribute to knowledge of how site conditions affect sublimation rates and the winter hydrologic cycle.
Diego Monteiro and Samuel Morin
The Cryosphere, 17, 3617–3660, https://doi.org/10.5194/tc-17-3617-2023, https://doi.org/10.5194/tc-17-3617-2023, 2023
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Beyond directly using in situ observations, often sparsely available in mountain regions, climate model simulations and so-called reanalyses are increasingly used for climate change impact studies. Here we evaluate such datasets in the European Alps from 1950 to 2020, with a focus on snow cover information and its main drivers: air temperature and precipitation. In terms of variability and trends, we identify several limitations and provide recommendations for future use of these datasets.
Leon J. Bührle, Mauro Marty, Lucie A. Eberhard, Andreas Stoffel, Elisabeth D. Hafner, and Yves Bühler
The Cryosphere, 17, 3383–3408, https://doi.org/10.5194/tc-17-3383-2023, https://doi.org/10.5194/tc-17-3383-2023, 2023
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Information on the snow depth distribution is crucial for numerous applications in high-mountain regions. However, only specific measurements can accurately map the present variability of snow depths within complex terrain. In this study, we show the reliable processing of images from aeroplane to large (> 100 km2) detailed and accurate snow depth maps around Davos (CH). We use these maps to describe the existing snow depth distribution, other special features and potential applications.
Xuemei Li, Xinyu Liu, Kaixin Zhao, Xu Zhang, and Lanhai Li
The Cryosphere, 17, 2437–2453, https://doi.org/10.5194/tc-17-2437-2023, https://doi.org/10.5194/tc-17-2437-2023, 2023
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Quantifying change in the potential snowfall phenology (PSP) is an important area of research for understanding regional climate change past, present, and future. However, few studies have focused on the PSP and its change in alpine mountainous regions. We proposed three innovative indicators to characterize the PSP and its spatial–temporal variation. Our study provides a novel approach to understanding PSP in alpine mountainous regions and can be easily extended to other snow-dominated regions.
Moritz Buchmann, Gernot Resch, Michael Begert, Stefan Brönnimann, Barbara Chimani, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 17, 653–671, https://doi.org/10.5194/tc-17-653-2023, https://doi.org/10.5194/tc-17-653-2023, 2023
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Our current knowledge of spatial and temporal snow depth trends is based almost exclusively on time series of non-homogenised observational data. However, like other long-term series from observations, they are susceptible to inhomogeneities that can affect the trends and even change the sign. To assess the relevance of homogenisation for daily snow depths, we investigated its impact on trends and changes in extreme values of snow indices between 1961 and 2021 in the Swiss observation network.
Zachary S. Miller, Erich H. Peitzsch, Eric A. Sproles, Karl W. Birkeland, and Ross T. Palomaki
The Cryosphere, 16, 4907–4930, https://doi.org/10.5194/tc-16-4907-2022, https://doi.org/10.5194/tc-16-4907-2022, 2022
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Snow depth varies across steep, complex mountain landscapes due to interactions between dynamic natural processes. Our study of a winter time series of high-resolution snow depth maps found that spatial resolutions greater than 0.5 m do not capture the complete patterns of snow depth spatial variability at a couloir study site in the Bridger Range of Montana, USA. The results of this research have the potential to reduce uncertainty associated with snowpack and snow water resource analysis.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022, https://doi.org/10.5194/tc-16-4201-2022, 2022
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Measurements of the properties of the snow and soil were compared to simulations of the Community Land Model to see how well the model represents snow insulation. Simulations underestimated snow thermal conductivity and wintertime soil temperatures. We test two approaches to reduce the transfer of heat through the snowpack and bring simulated soil temperatures closer to measurements, with an alternative parameterisation of snow thermal conductivity being more appropriate.
Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 16, 2147–2161, https://doi.org/10.5194/tc-16-2147-2022, https://doi.org/10.5194/tc-16-2147-2022, 2022
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Knowledge about inhomogeneities in a data set is important for any subsequent climatological analysis. We ran three well-established homogenization methods and compared the identified break points. By only treating breaks as valid when detected by at least two out of three methods, we enhanced the robustness of our results. We found 45 breaks within 42 of 184 investigated series; of these 70 % could be explained by events recorded in the station history.
Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont
The Cryosphere, 16, 1281–1298, https://doi.org/10.5194/tc-16-1281-2022, https://doi.org/10.5194/tc-16-1281-2022, 2022
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The mountainous snow cover is highly variable at all temporal and spatial scales. Snow cover models suffer from large errors, while snowpack observations are sparse. Data assimilation combines them into a better estimate of the snow cover. A major challenge is to propagate information from observed into unobserved areas. This paper presents a spatialized version of the particle filter, in which information from in situ snow depth observations is successfully used to constrain nearby simulations.
Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä
The Cryosphere, 16, 1007–1030, https://doi.org/10.5194/tc-16-1007-2022, https://doi.org/10.5194/tc-16-1007-2022, 2022
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We analyze state-of-the-art climate models’ ability to describe snow mass and whether biases in modeled temperature or precipitation can explain the discrepancies in snow mass. In winter, biases in precipitation are the main factor affecting snow mass, while in spring, biases in temperature becomes more important, which is an expected result. However, temperature or precipitation cannot explain all snow mass discrepancies. Other factors, such as models’ structural errors, are also significant.
Lucas Berard-Chenu, Hugues François, Emmanuelle George, and Samuel Morin
The Cryosphere, 16, 863–881, https://doi.org/10.5194/tc-16-863-2022, https://doi.org/10.5194/tc-16-863-2022, 2022
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This study investigates the past snow reliability (1961–2019) of 16 ski resorts in the French Alps using state-of-the-art snowpack modelling. We used snowmaking investment figures to infer the evolution of snowmaking coverage at the individual ski resort level. Snowmaking improved snow reliability for the core of the winter season for the highest-elevation ski resorts. However it did not counterbalance the decreasing trend in snow cover reliability for lower-elevation ski resorts and in spring.
Achut Parajuli, Daniel F. Nadeau, François Anctil, and Marco Alves
The Cryosphere, 15, 5371–5386, https://doi.org/10.5194/tc-15-5371-2021, https://doi.org/10.5194/tc-15-5371-2021, 2021
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Cold content is the energy required to attain an isothermal (0 °C) state and resulting in the snow surface melt. This study focuses on determining the multi-layer cold content (30 min time steps) relying on field measurements, snow temperature profile, and empirical formulation in four distinct forest sites of Montmorency Forest, eastern Canada. We present novel research where the effect of forest structure, local topography, and meteorological conditions on cold content variability is explored.
Yufei Liu, Yiwen Fang, and Steven A. Margulis
The Cryosphere, 15, 5261–5280, https://doi.org/10.5194/tc-15-5261-2021, https://doi.org/10.5194/tc-15-5261-2021, 2021
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We examined the spatiotemporal distribution of stored water in the seasonal snowpack over High Mountain Asia, based on a new snow reanalysis dataset. The dataset was derived utilizing satellite-observed snow information, which spans across 18 water years, at a high spatial (~ 500 m) and temporal (daily) resolution. Snow mass and snow storage distribution over space and time are analyzed in this paper, which brings new insights into understanding the snowpack variability over this region.
Alicia A. Dauginis and Laura C. Brown
The Cryosphere, 15, 4781–4805, https://doi.org/10.5194/tc-15-4781-2021, https://doi.org/10.5194/tc-15-4781-2021, 2021
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This work examines changes in the timing (on/off dates) of Arctic snow, lake ice, and sea ice to investigate how they have responded to recent climate change and determine if they are responding similarly. We looked at pan-Arctic trends since 1997 and regional trends since 2004 using (mainly) satellite data. Strong regional variability was shown in the snow and ice trends, which highlights the need for a detailed understanding of the regional response to ongoing changes in the Arctic climate.
Moritz Buchmann, Michael Begert, Stefan Brönnimann, and Christoph Marty
The Cryosphere, 15, 4625–4636, https://doi.org/10.5194/tc-15-4625-2021, https://doi.org/10.5194/tc-15-4625-2021, 2021
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We investigated the impacts of local-scale variations by analysing snow climate indicators derived from parallel snow measurements. We found the largest relative inter-pair differences for all indicators in spring and the smallest in winter. The findings serve as an important basis for our understanding of uncertainties of commonly used snow indicators and provide, in combination with break-detection methods, the groundwork in view of any homogenization efforts regarding snow time series.
Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
The Cryosphere, 15, 1343–1382, https://doi.org/10.5194/tc-15-1343-2021, https://doi.org/10.5194/tc-15-1343-2021, 2021
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The first Alpine-wide assessment of station snow depth has been enabled by a collaborative effort of the research community which involves more than 30 partners, 6 countries, and more than 2000 stations. It shows how snow in the European Alps matches the climatic zones and gives a robust estimate of observed changes: stronger decreases in the snow season at low elevations and in spring at all elevations, however, with considerable regional differences.
Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, and Shugong Wang
The Cryosphere, 15, 771–791, https://doi.org/10.5194/tc-15-771-2021, https://doi.org/10.5194/tc-15-771-2021, 2021
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High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for high-resolution snow observations in these regions. Substantial uncertainty in snow water storage in Tundra regions and the dominance of water storage in these regions points to the need for high-accuracy snow estimation. Finally, snow measurements during the melt season are most needed at high latitudes, whereas observations at near peak snow accumulations are most beneficial over the midlatitudes.
François Tuzet, Marie Dumont, Ghislain Picard, Maxim Lamare, Didier Voisin, Pierre Nabat, Mathieu Lafaysse, Fanny Larue, Jesus Revuelto, and Laurent Arnaud
The Cryosphere, 14, 4553–4579, https://doi.org/10.5194/tc-14-4553-2020, https://doi.org/10.5194/tc-14-4553-2020, 2020
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This study presents a field dataset collected over 30 d from two snow seasons at a Col du Lautaret site (French Alps). The dataset compares different measurements or estimates of light-absorbing particle (LAP) concentrations in snow, highlighting a gap in the current understanding of the measurement of these quantities. An ensemble snowpack model is then evaluated for this dataset estimating that LAPs shorten each snow season by around 10 d despite contrasting meteorological conditions.
Joshua King, Stephen Howell, Mike Brady, Peter Toose, Chris Derksen, Christian Haas, and Justin Beckers
The Cryosphere, 14, 4323–4339, https://doi.org/10.5194/tc-14-4323-2020, https://doi.org/10.5194/tc-14-4323-2020, 2020
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Physical measurements of snow on sea ice are sparse, making it difficulty to evaluate satellite estimates or model representations. Here, we introduce new measurements of snow properties on sea ice to better understand variability at distances less than 200 m. Our work shows that similarities in the snow structure are found at longer distances on younger ice than older ice.
Jianwei Yang, Lingmei Jiang, Kari Luojus, Jinmei Pan, Juha Lemmetyinen, Matias Takala, and Shengli Wu
The Cryosphere, 14, 1763–1778, https://doi.org/10.5194/tc-14-1763-2020, https://doi.org/10.5194/tc-14-1763-2020, 2020
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There are many challenges for accurate snow depth estimation using passive microwave data. Machine learning (ML) techniques are deemed to be powerful tools for establishing nonlinear relations between independent variables and a given target variable. In this study, we investigate the potential capability of the random forest (RF) model on snow depth estimation at temporal and spatial scales. The result indicates that the fitted RF algorithms perform better on temporal than spatial scales.
Colleen Mortimer, Lawrence Mudryk, Chris Derksen, Kari Luojus, Ross Brown, Richard Kelly, and Marco Tedesco
The Cryosphere, 14, 1579–1594, https://doi.org/10.5194/tc-14-1579-2020, https://doi.org/10.5194/tc-14-1579-2020, 2020
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Existing stand-alone passive microwave SWE products have markedly different climatological SWE patterns compared to reanalysis-based datasets. The AMSR-E SWE has low spatial and temporal correlations with the four reanalysis-based products evaluated and GlobSnow and perform poorly in comparisons with snow transect data from Finland, Russia, and Canada. There is better agreement with in situ data when multiple SWE products, excluding the stand-alone passive microwave SWE products, are combined.
Céline Portenier, Fabia Hüsler, Stefan Härer, and Stefan Wunderle
The Cryosphere, 14, 1409–1423, https://doi.org/10.5194/tc-14-1409-2020, https://doi.org/10.5194/tc-14-1409-2020, 2020
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We present a method to derive snow cover maps from freely available webcam images in the Swiss Alps. With marginal manual user input, we can transform a webcam image into a georeferenced map and therewith perform snow cover analyses with a high spatiotemporal resolution over a large area. Our evaluation has shown that webcams could not only serve as a reference for improved validation of satellite-based approaches, but also complement satellite-based snow cover retrieval.
Markus Todt, Nick Rutter, Christopher G. Fletcher, and Leanne M. Wake
The Cryosphere, 13, 3077–3091, https://doi.org/10.5194/tc-13-3077-2019, https://doi.org/10.5194/tc-13-3077-2019, 2019
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Vegetation is often represented by a single layer in global land models. Studies have found deficient simulation of thermal radiation beneath forest canopies when represented by single-layer vegetation. This study corrects thermal radiation in forests for a global land model using single-layer vegetation in order to assess the effect of deficient thermal radiation on snow cover and snowmelt. Results indicate that single-layer vegetation causes snow in forests to be too cold and melt too late.
Stefanie Arndt and Christian Haas
The Cryosphere, 13, 1943–1958, https://doi.org/10.5194/tc-13-1943-2019, https://doi.org/10.5194/tc-13-1943-2019, 2019
David F. Hill, Elizabeth A. Burakowski, Ryan L. Crumley, Julia Keon, J. Michelle Hu, Anthony A. Arendt, Katreen Wikstrom Jones, and Gabriel J. Wolken
The Cryosphere, 13, 1767–1784, https://doi.org/10.5194/tc-13-1767-2019, https://doi.org/10.5194/tc-13-1767-2019, 2019
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We present a new statistical model for converting snow depths to water equivalent. The only variables required are snow depth, day of year, and location. We use the location to look up climatological parameters such as mean winter precipitation and mean temperature difference (difference between hottest month and coldest month). The model is simple by design so that it can be applied to depth measurements anywhere, anytime. The model is shown to perform better than other widely used approaches.
Rebecca Mott, Andreas Wolf, Maximilian Kehl, Harald Kunstmann, Michael Warscher, and Thomas Grünewald
The Cryosphere, 13, 1247–1265, https://doi.org/10.5194/tc-13-1247-2019, https://doi.org/10.5194/tc-13-1247-2019, 2019
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The mass balance of very small glaciers is often governed by anomalous snow accumulation, winter precipitation being multiplied by snow redistribution processes, or by suppressed snow ablation driven by micrometeorological effects lowering net radiation and turbulent heat exchange. In this study we discuss the relative contribution of snow accumulation (avalanches) versus micrometeorology (katabatic flow) on the mass balance of the lowest perennial ice field of the Alps, the Ice Chapel.
Yue Zhou, Hui Wen, Jun Liu, Wei Pu, Qingcai Chen, and Xin Wang
The Cryosphere, 13, 157–175, https://doi.org/10.5194/tc-13-157-2019, https://doi.org/10.5194/tc-13-157-2019, 2019
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We first investigated the optical characteristics and potential sources of chromophoric dissolved organic matter (CDOM) in seasonal snow over northwestern China. The abundance of CDOM showed regional variation. At some sites strongly influenced by local soil, the absorption of CDOM cannot be neglected compared to black carbon. We found two humic-like and one protein-like fluorophores in snow. The major sources of snow CDOM were soil, biomass burning, and anthropogenic pollution.
Benjamin J. Hatchett and Hilary G. Eisen
The Cryosphere, 13, 21–28, https://doi.org/10.5194/tc-13-21-2019, https://doi.org/10.5194/tc-13-21-2019, 2019
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We examine the timing of early season snowpack relevant to oversnow vehicle (OSV) recreation over the past 3 decades in the Lake Tahoe region (USA). Data from two independent data sources suggest that the timing of achieving sufficient snowpack has shifted later by 2 weeks. Increasing rainfall and more dry days play a role in the later onset. Adaptation strategies are provided for winter travel management planning to address negative impacts of loss of early season snowpack for OSV usage.
Deborah Verfaillie, Matthieu Lafaysse, Michel Déqué, Nicolas Eckert, Yves Lejeune, and Samuel Morin
The Cryosphere, 12, 1249–1271, https://doi.org/10.5194/tc-12-1249-2018, https://doi.org/10.5194/tc-12-1249-2018, 2018
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This article addresses local changes of seasonal snow and its meteorological drivers, at 1500 m altitude in the Chartreuse mountain range in the Northern French Alps, for the period 1960–2100. We use an ensemble of adjusted RCM outputs consistent with IPCC AR5 GCM outputs (RCPs 2.6, 4.5 and 8.5) and the snowpack model Crocus. Beyond scenario-based approach, global temperature levels on the order of 1.5 °C and 2 °C above preindustrial levels correspond to 25 and 32% reduction of mean snow depth.
Paul J. Kushner, Lawrence R. Mudryk, William Merryfield, Jaison T. Ambadan, Aaron Berg, Adéline Bichet, Ross Brown, Chris Derksen, Stephen J. Déry, Arlan Dirkson, Greg Flato, Christopher G. Fletcher, John C. Fyfe, Nathan Gillett, Christian Haas, Stephen Howell, Frédéric Laliberté, Kelly McCusker, Michael Sigmond, Reinel Sospedra-Alfonso, Neil F. Tandon, Chad Thackeray, Bruno Tremblay, and Francis W. Zwiers
The Cryosphere, 12, 1137–1156, https://doi.org/10.5194/tc-12-1137-2018, https://doi.org/10.5194/tc-12-1137-2018, 2018
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Here, the Canadian research network CanSISE uses state-of-the-art observations of snow and sea ice to assess how Canada's climate model and climate prediction systems capture variability in snow, sea ice, and related climate parameters. We find that the system performs well, accounting for observational uncertainty (especially for snow), model uncertainty, and chaotic climate variability. Even for variables like sea ice, where improvement is needed, useful prediction tools can be developed.
Lawrence R. Mudryk, Chris Derksen, Stephen Howell, Fred Laliberté, Chad Thackeray, Reinel Sospedra-Alfonso, Vincent Vionnet, Paul J. Kushner, and Ross Brown
The Cryosphere, 12, 1157–1176, https://doi.org/10.5194/tc-12-1157-2018, https://doi.org/10.5194/tc-12-1157-2018, 2018
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This paper presents changes in both snow and sea ice that have occurred over Canada during the recent past and shows climate model estimates for future changes expected to occur by the year 2050. The historical changes of snow and sea ice are generally coherent and consistent with the regional history of temperature and precipitation changes. It is expected that snow and sea ice will continue to decrease in the future, declining by an additional 15–30 % from present day values by the year 2050.
Andrew M. Snauffer, William W. Hsieh, Alex J. Cannon, and Markus A. Schnorbus
The Cryosphere, 12, 891–905, https://doi.org/10.5194/tc-12-891-2018, https://doi.org/10.5194/tc-12-891-2018, 2018
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Estimating winter snowpack throughout British Columbia is challenging due to the complex terrain, thick forests, and high snow accumulations present. This paper describes a way to make better snow estimates by combining publicly available data using machine learning, a branch of artificial intelligence research. These improved estimates will help water resources managers better plan for changes in rivers and lakes fed by spring snowmelt and will aid other research that supports such planning.
Yulan Zhang, Shichang Kang, Michael Sprenger, Zhiyuan Cong, Tanguang Gao, Chaoliu Li, Shu Tao, Xiaofei Li, Xinyue Zhong, Min Xu, Wenjun Meng, Bigyan Neupane, Xiang Qin, and Mika Sillanpää
The Cryosphere, 12, 413–431, https://doi.org/10.5194/tc-12-413-2018, https://doi.org/10.5194/tc-12-413-2018, 2018
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Light-absorbing impurities deposited on snow can reduce surface albedo and contribute to the near-worldwide melting of snowpack and ice. This study focused on the black carbon and mineral dust in snow cover on the Tibetan Plateau. We discussed their concentrations, distributions, possible sources, and albedo reduction and radiative forcing. Findings indicated that the impacts of black carbon and mineral dust need to be properly accounted for in future regional climate projections.
Thomas Grünewald, Fabian Wolfsperger, and Michael Lehning
The Cryosphere, 12, 385–400, https://doi.org/10.5194/tc-12-385-2018, https://doi.org/10.5194/tc-12-385-2018, 2018
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Snow farming is the conservation of snow during summer. Large snow piles are covered with a sawdust insulation layer, reducing melt and guaranteeing a specific amount of available snow in autumn, independent of the weather conditions. Snow volume changes in two heaps were monitored, showing that about a third of the snow was lost. Model simulations confirmed the large effect of the insulation on energy balance and melt. The model can now be used as a tool to examine future snow-farming projects.
Kristoffer Aalstad, Sebastian Westermann, Thomas Vikhamar Schuler, Julia Boike, and Laurent Bertino
The Cryosphere, 12, 247–270, https://doi.org/10.5194/tc-12-247-2018, https://doi.org/10.5194/tc-12-247-2018, 2018
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We demonstrate how snow cover data from satellites can be used to constrain estimates of snow distributions at sites in the Arctic. In this effort, we make use of data assimilation to combine the information contained in the snow cover data with a simple snow model. By comparing our snow distribution estimates to independent observations, we find that this method performs favorably. Being modular, this method could be applied to other areas as a component of a larger reanalysis system.
Cited articles
Alia, S. T., Akerley, J., Baluyuta, E. C., Cardiffa, M., Davatzes, N. C, Feigl, K. L., Foxall, W., Fratta, D., Mellors, R. J., Spielman, P., Wang, H. F., and Zemach, E.: Time-series analysis of surface deformation at Brady Hot Springs geothermal field (Nevada) using interferometric synthetic aperture radar, Geothermics, 61, 114–120, 2015.
Baghdadi, N., Gauthier, Y., and Bernier, M.: Capability of multitemporal ERS-1 SAR data for wet-snow Mapping, Remote Sens. Environ., 60, 174–186, 1997.
Baghdadi, N., Livingstone, C. E., and Bernier, M.: Airborne-Band SAR Measurements of Wet Snow-Covered Areas, IEEE T. Geosci. Remote, 36, 1977–1981, https://doi.org/10.1109/36.729371, 1998.
Baghdadi, N., Fortin, J.-P., and Bernier, M.: Accuracy of wet snow mapping using simulated Radarsat backscattering coefficients from observed snow cover characteristics, Int. J. Remote Sens., 20, 2049–2068, 1999.
Bañon, M., Justel, A., Velázquez, D., and Quesada, A.: Regional weather survey on Byers Peninsula, Livingston Island, South Shetland Islands, Antarctica, Antarct. Sci., 25, 146–156, 2013.
Barboux, C., Strozzi, T., Delaloye, R., Wegmuller, U., and Collet, C.: Mapping slope movements in Alpine environments using TerraSAR-X interferometric methods, ISPRS J. Photogramm., 109, 178–192, 2015.
Barrand, N. E., Vaughan, D. G., Steiner, N., Tedesco, M., Kuipers Munneke, P., van den Broeke, M. R., and Hosking, J. S.: Trends in Antarctic Peninsula surface melting conditions from observations and regional climate modeling, J. Geophys. Res.-Earth, 118, 315–330, https://doi.org/10.1029/2012JF002559, 2013
Bernier, M., Fortin, J.-P., Gauthier, Y., Gauthier, R., Roy, R., and Vicent, P.: Determination of Snow Water Equivalent using RADARSAT SAR data in eastern Canada, Hydrol. Process., 13, 3041–3051, 1999.
Betbeder, J., Rapinel, S., Corgne, S., Potier, E., and Hubert-Moy, L.: TerraSAR-X dual-pol time-series for mapping of wetland vegetation, ISPRS J. Photogramm., 107, 90–98, 2015.
Blaschke, T.: Object based image analysis for remote sensing, ISPRS J. Photogramm., 65, 2–16, 2010.
Braun, M.: Ablation on the ice cap of King George Island (Antarctica), Doctoral thesis at the Faculty of Earth Sciences Albert-Ludwigs Universitat Freiburg, Germany, 165 pp., 2001.
Brown, I. and Ward R.: The influence of topography on snowpatch distribution in southern Iceland: a new hypothesis for glacier formation?, Geogr. Ann. A, 78, 197–207, https://doi.org/10.2307/521040, 1996.
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.
Congalton, R. G.: A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens. Environ., 37, 35–46, 1991.
De Pablo, A., Ramos, M., Molina, A., Vieira, G., Hidalgo, M. A., Prieto, M., Jiménez, J. J., Fernández, S., Recondo, C., Calleja, J. F., Peón, J. J., and Mora, C.: Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research, Cuadernos de Investigación Geográfica, https://doi.org/10.18172/cig.2917, 2016.
Dewalle, D. R. and Rango, A.: Principles of snow hydrology, Cambridge University Press, Cambridge, UK, 428 pp., 2008.
Erickson, T., Williams, M., and Winstral, A.: Persitence of topographic controls on the spatial distribution of snow in rugged mountain terrain, Colorado, United States, Water Resour. Res., 41, W04014, https://doi.org/10.1029/2003WR002973, 2005.
Falk, U., Gieseke, H., Kotzur, F., and Braun, M.: Monitoring snow and ice surfaces on King George Island, Antarctic Peninsula, with high-resolution TerraSAR-X time series, Antarct. Sci., 28, 135–149, https://doi.org/10.1017/S0954102015000577, 2016.
Green, K. and Pickering, C. M.: Vegetation, microclimate and soils associated with the latest-lying snowpatches in Australia, Plant Ecol. Divers., 2, 289–300, https://doi.org/10.1080/17550870903019275, 2009.
Hiemstra, C. A., Liston, G. E., and Reiners, W. A.: Observing, modelling, and validating snow redistribution by wind in a Wyoming upper treeline landscape, Ecol. Model., 197, 35–51, 2006.
Holah, N., Baghdadi, N., Zribi, M., Bruand, A., and King, C.: Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields, Remote Sens. Environ., 96, 78–86, 2005.
Kellndorfer, J. M., Pierce, L. E., Dobson, M. C., and Ulaby, F. T.: Toward Consistent Regional-to-Global-Scale Vegetation Characterization Using Orbital SAR Systems. IEEE T. Geosci. Remote, 36, 1396–1411, https://doi.org/10.1109/36.718844, 1998.
König, M., Winther, J.-G., and Isaksson, E.: Measuring snow and glacier properties from satellite, Rev. Geophys., 39, 1–27, 2001.
Koskinen, J. T. and Pulliainen, J. T.: The use of ERS-1 SAR data in snow melt monitoring, IEEE T. Geosci. Remote, 35, 601–610, 1997.
Longépé, N., Allain, S., Ferro-Famil, L., Pottier, E., and Durand, Y.: Snowpack characterization in mountainous regions using C-Band SAR data and a meteorological model, IEEE T. Geosci. Remote, 47, 406–418, 2009
Magagi, R. and Bernier, M.: Optimal conditions for wet snow detection using RADARSAT SAR data, Remote Sens. Environ. 84, 221–233, 2003.
Malnes, E. and Guneriussen, T.: Mapping of snow covered area with Radarsat in Norway, Proceedings to IGARSS, 24–28 June 2002, Toronto, Canada, 2002.
Malnes, E. and Guneriussen, T.: Comparison of Satellite SAR Based Snow Cover Area (SCA) Algortihms, EARSel workshop, 11–13 March 2002, Bern, Svitzerland, 2003.
Malnes, E., Hindberg, H., Eckerstorfer, M., and Farnsworth, W. R.: Comparison of field and synthetic aperture radar retrieval of snow water equivalent at Kapp Linne, Svalbard, Proceedings, International Snow Science Workshop, 29 September to 3 October 2014, Banff, Canada, 811–816, 2014.
Mi, L., Hoan, N. T., Tateishi, R., Iizuka, K., Alsaaideh, B., and Kobayashi, T.: A Study on Tropical Land Cover Classification Using ALOS PALSAR 50 m Ortho-Rectified Mosaic Data, Adv. Remote Sens., 3, 208–218, https://doi.org/10.4236/ars.2014.33014, 2014.
Michel, R. F. M.: Classificação, cobertura vegetal e monitoramento térmico da camada ativa de solos da Península Fildes, ilha Rei George e ilha Ardley, Antártica Marítima, PhD thesis, Federal University of Viçosa, Brazil, 2011.
Mora, C., Vieira, G., and Ramos, M.: Evaluation of Envisat ASAR IMP imagery for snow mapping at varying spatial resolution, Deception Island, South Shetlands – Antarctica, in: Antarctic Glacial and Periglacial Processes, edited by: Hambrey, M., Geological Society, London, UK, https://doi.org/10.1144/SP381.19, 2013.
Nagler, T. and Rott, H.: Retrieval of wet snow by means of multitemporal SAR Data, IEEE T. Geosci. Remote, 38, 754–765, 2000.
Øvstedal, D. O. and Lewis-Smith, R. I.: Lichens of Antarctica and South Georgia. A Guide to their Identification and Ecology, Cambridge University Press, Cambridge, UK, 411 pp., 2001.
Peter, H.-U., Buesser, C., Mustafa, O., and Pfeiffer, S.: Risk assessment for the Fildes Peninsula and Ardley Island and the development of management plans for designation as Antarctic Specially Protected or Managed Areas. German Federal Environment Agency, Dessau, Germany, 2008.
Rees, W. G.: Remote Sensing of snow and ice, Taylor & Francis, Cambridge, UK, 2006.
Rees, W. S. and Steel, M.: Radar backscatter coefficients and snow detectability for upland terrain in Scotland, Int. J. Remote Sens., 22, 3015–3026, 2001.
Reis, A. R., Catalão, J., Vieira, G., and Nico, G.: Mitigation of atmospheric phase delay in InSAR time series using ERA-interim model, GPS and MODIS data: application to the permafrost deformation in Hurd Peninsula, Antarctica, Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 26–31 July 2015, Lisbon, Portugal, 3454–3457, 2015.
Rott, H. and Nagler, T.: Capabilities of ERS-1 SAR for snow and glacier monitoring in alpine areas, in: Proceedings of the Second ERS-1 Symposium: Space at the Service of Our Environment, Rep. ESA SP-361, 965–970, Hamburg, Germany, 1994.
Rott, H., Müller, F., Nagler, T., and Floricioiu, D.: The imbalance of glaciers after disintegration of Larsen-B ice shelf, Antarctic Peninsula, The Cryosphere, 5, 125–134, https://doi.org/10.5194/tc-5-125-2011, 2011.
Rott, H., Nagler, T., Prinz, R., Voglmeier, K., Fromm, Re., Adams, M. S., Yueh, S., Elder, K., Marshall, H.-P., Coccia, A., Imbembo, E., Schuttemeyer, D., and Kern, M.: AlpSAR 2012-13, A field experiment on snow observations and parameter retrievals With KU- and X-Band radar, in: Proceedings of the ESA Living Planet Symposium, 9–13 September 2013, Edinburgh, UK, ESA SP-722, 2-1392, 2013.
Salambier, P. H. and Wilkinson, M. H. F.: Connected operators, IEEE Signal Proc. Mag., 26, 136–157, 2009.
Schubert, A., Faes, A., Kaab, A., and Meier, E.: Glacier surface velocity estimation using repeat TerraSAR-X images: Wavelet-vs. Correlation-based image matching, ISPRS J. Photogramm., 82, 49–62, 2013.
Shi, J. and Dozier, J.: Inferring snow wetness using C-band data from SIR-C's polarimetric Synthetic Aperture Radar, IEEE T. Geosci. Remote, 33, 905–914, 1995.
Shi, J. and Dozier, J.: Mapping seasonal snow with SIR-C/X-SAR in mountainous areas, Remote Sens. Environ., 59, 294–307, https://doi.org/10.1016/S0034-4257(96)00146-0, 1997.
Simonov, I. M.: Physical-geographic description of Fildes Peninsula (South Shetland Islands), Polar Geography, 1, 223–242, 1977.
Small, D.: Flattening Gamma: radiometric terrain correction for SAR imagery, IEEE T. Geosci. Remote, 49, 3081–3093, 2011.
Small, D., Miranda, N., Zuberbühler, L., Schubert, A., and Meier, E: Terrain-corrected Gamma: Improved thematic land-cover retrieval for SAR with robust radiometric terrain correction, Proc. “ESA Living Planet Symposium”, 28 June to 2 July 2010, Bergen, Norway, 2010.
Smellie, J. L. and López-Martínez, J.: Introdution to the geology and geomorphology of Deception Island, in: Geology and geomorphology of deception island, edited by: López Martínez, J., Smellie, J. L., Thomson, J. W., and Thomson, M. R. A., BAS Geomap series, Cambridge: British Antarctic survey, Cambridge, UK, 1–6, 2002.
Soille, P.: Morphological image analysis, Principles and applications, 2nd edition, Springer-Verlag, Berlin-Heidelberg, Germany, 2004.
Steig, E. J., Schneider, D. P., Rutherford, S. D., Mann, M. E., Comiso, J. C., and Shindell, D. T.: Warming of the Antarctic ice-sheet surface since the 1957 International Geophysical Year, Nature, 457, 459–462, https://doi.org/10.1038/nature07669, 2009.
Strozzi, T., Wegmiiller, U., and Matzler, C.: Using repeat-pass SAR interferometry for mapping Wet Snowcovers, Geoscience and Remote Sensing Symposium Proceedings, IEEE International, 6–10 July 1998, Seattle, USA, 3, 1650–1652, 1998.
Strozzi, T., Wegmuller, U., and Matzler, C.: Mapping wet snowcovers with SAR interferometry, Int. J. Remote Sens., 20, 2395–2403, 1999.
Thomas, E., Marshall, G., and McConnell, J.: A doubling in snow accumulation in the western Antarctic Peninsula since 1850, Geophys. Res. Lett., 35, L01706, https://doi.org/10.1029/2007GL032529, 2008.
Thorn, C. E.: An introduction to theoretical geomorphology, Unwin Hyman., Boston, USA, 247 pp., 1988.
Ulaby, F. T. and Stiles, W. H.: Microwave response of snow, Adv. Space Res., 1, 131–149, 1981.
Valenti, L., Small, D., and Meier, E.: Snow cover monitoring using multi-temporal ENVISAT/ASAR Data. Proc. of 5th EARSeL LISSIG (Land, Ice, Snow) Workshop, 11–13 February 2008, Bern, Switzerland, 2008.
Vapnik, V. N.: The nature of statistical learning theory, Springer-Verlag, Berlin, Germany, 1995.
Venkataraman, G. and Rao, K. S.: Application of SAR interferometry for Himalayan glaciers, Proc. of Fringe Workshop, 28 November–2 December 2005, Frascati, Italy, 2005.
Venkataraman, G., Singh, G., and Kumar, V.: Snow cover area monitoring using multitemporal TerraSARX data, in: Third TerraSAR-X Science Team Meeting, DLR, 3 January 2008, Freiburg, Germany, 2008.
Vieira, G., Bockheim, J., Guglielmin, M., Balks, M., Abramov, A. A., Boelhouwers, J., Cannone, N., Ganzert, L., Gilichinsky, D. A., Goryachkin, S., López-Martínez, J., Meiklejohn, I., Raffi, R., Ramos, M., Schaefer, C., Serrano, E., Simas, F., Sletten, R., and Wagner, D.: Thermal State of permafrost and active-layer monitoring in the Antarctic: advances during the International Polar Year 2007–09, Permafrost Periglac., 21, 182–197, 2010.
Vieira, G., Mora, C., Pina, P., and Schaefer, C. E. R.: A proxy for snow cover and winter ground surface cooling: Mapping usnea spp. communities using high resolution remote sensing imagery (Maritime Antarctica), Geomorphology, 225, 69–75, 2014.
Vogt, S. and Braun M.: Influence of glaciers and snow cover on terrestrial and marine ecosystems as revealed by remotely-sensed data, Pesquisa Antártica Brasileira, 4, 105–118, 2004.
Wiesmann, A. and Mätzler, C.: Microwave emission model of layered snowpacks, Remote Sens. Environ., 70, 307–316, 1999.
Winkelmann, R., Levermann, A., Martin, M. A., and Frieler, K.: Increased future ice discharge from Antarctica owing to higher snowfall, Nature, 492, 239–242, 2012.
Woodhouse, I. H.: Introduction to Microwave Remote Sensing, Taylor and Francis, Edinburgh, UK, 284–285, 2006.
Short summary
We evaluate the use of high-resolution microwave satellite images from TerraSAR-X for mapping snow-patch distribution in ice-free areas of the maritime Antarctic (King George Island). The imagery was acquired simultaneously to ground truthing of snow. Image classification resulted in very high accuracy when discriminating between snow, water and bare ground. The method provides a solution for characterizing the snowmelt patterns in the ice-free areas of the Antarctic Peninsula.
We evaluate the use of high-resolution microwave satellite images from TerraSAR-X for mapping...
