Articles | Volume 8, issue 5
https://doi.org/10.5194/tc-8-1625-2014
© Author(s) 2014. 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-8-1625-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Sep 2014
Research article |
| 03 Sep 2014
The effect of snow/sea ice type on the response of albedo and light penetration depth (e-folding depth) to increasing black carbon
A. A. Marks
Department of Earth Sciences, Royal Holloway University of London, Egham, Surrey, TW20 0EX, UK
M. D. King
Department of Earth Sciences, Royal Holloway University of London, Egham, Surrey, TW20 0EX, UK
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Amelia A. Marks, Maxim L. Lamare, and Martin D. King
The Cryosphere, 11, 2867–2881, https://doi.org/10.5194/tc-11-2867-2017, https://doi.org/10.5194/tc-11-2867-2017, 2017
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Arctic sea ice extent is declining rapidly. Prediction of sea ice trends relies on sea ice models that need to be evaluated with real data. A realistic sea ice environment is created in a laboratory by the Royal Holloway sea ice simulator and is used to show a sea ice model can replicate measured properties of sea ice, e.g. reflectance. Black carbon, a component of soot found in atmospheric pollution, is also experimentally shown to reduce the sea ice reflectance, which could exacerbate melting.
A. A. Marks and M. D. King
The Cryosphere, 7, 1193–1204, https://doi.org/10.5194/tc-7-1193-2013, https://doi.org/10.5194/tc-7-1193-2013, 2013
Maxim L. Lamare, John D. Hedley, and Martin D. King
The Cryosphere, 17, 737–751, https://doi.org/10.5194/tc-17-737-2023, https://doi.org/10.5194/tc-17-737-2023, 2023
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The reflectivity of sea ice is crucial for modern climate change and for monitoring sea ice from satellites. The reflectivity depends on the angle at which the ice is viewed and the angle illuminated. The directional reflectivity is calculated as a function of viewing angle, illuminating angle, thickness, wavelength and surface roughness. Roughness cannot be considered independent of thickness, illumination angle and the wavelength. Remote sensors will use the data to image sea ice from space.
Benjamin Heikki Redmond Roche and Martin D. King
The Cryosphere, 16, 3949–3970, https://doi.org/10.5194/tc-16-3949-2022, https://doi.org/10.5194/tc-16-3949-2022, 2022
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Sea ice is bright, playing an important role in reflecting incoming solar radiation. The reflectivity of sea ice is affected by the presence of pollutants, such as crude oil, even at low concentrations. Modelling how the brightness of three types of sea ice is affected by increasing concentrations of crude oils shows that the type of oil, the type of ice, the thickness of the ice, and the size of the oil droplets are important factors. This shows that sea ice is vulnerable to oil pollution.
Rosalie H. Shepherd, Martin D. King, Amelia A. Marks, Neil Brough, and Andrew D. Ward
Atmos. Chem. Phys., 18, 5235–5252, https://doi.org/10.5194/acp-18-5235-2018, https://doi.org/10.5194/acp-18-5235-2018, 2018
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The refractive index of atmospheric extracts sourced from urban (London), remote (Antarctica), and woodsmoke aerosol was determined by applying optical trapping simultaneously with Mie spectroscopy. In addition, owing to the absorbing nature of woodsmoke and an aqueous humic acid aerosol extract, the absorption Ångström exponent could be determined.The refractive index and absorption Ångström exponent were then applied in a top-of-the-atmosphere albedo radiation transfer model.
Hoi Ga Chan, Markus M. Frey, and Martin D. King
Atmos. Chem. Phys., 18, 1507–1534, https://doi.org/10.5194/acp-18-1507-2018, https://doi.org/10.5194/acp-18-1507-2018, 2018
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Emissions of reactive nitrogen from snowpacks influence remote air quality. Two physical air–snow models for nitrate were developed. One assumes that below a threshold temperature the air–snow grain interface is pure ice and above it a disordered interface emerges. The other assumes an air–ice interface below melting and that any liquid present is concentrated in micropockets. Only the latter matches observations at two Antarctic lcoations covering a wide range of environmental conditions.
Amelia A. Marks, Maxim L. Lamare, and Martin D. King
The Cryosphere, 11, 2867–2881, https://doi.org/10.5194/tc-11-2867-2017, https://doi.org/10.5194/tc-11-2867-2017, 2017
Short summary
Short summary
Arctic sea ice extent is declining rapidly. Prediction of sea ice trends relies on sea ice models that need to be evaluated with real data. A realistic sea ice environment is created in a laboratory by the Royal Holloway sea ice simulator and is used to show a sea ice model can replicate measured properties of sea ice, e.g. reflectance. Black carbon, a component of soot found in atmospheric pollution, is also experimentally shown to reduce the sea ice reflectance, which could exacerbate melting.
M. L. Lamare, J. Lee-Taylor, and M. D. King
Atmos. Chem. Phys., 16, 843–860, https://doi.org/10.5194/acp-16-843-2016, https://doi.org/10.5194/acp-16-843-2016, 2016
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The decrease in reflectivity (albedo) of sea ice and snow containing mineral dusts and volcanic ashes is calculated. The type of snow and sea ice, the thickness and the layering of mineral aerosol deposits are varied. The results show that the response of the albedo of snow and sea ice to mineral aerosol deposits is more sensitive to the type of snow or sea ice than to the properties of the mineral aerosol deposits themselves.
M. M. Frey, H. K. Roscoe, A. Kukui, J. Savarino, J. L. France, M. D. King, M. Legrand, and S. Preunkert
Atmos. Chem. Phys., 15, 7859–7875, https://doi.org/10.5194/acp-15-7859-2015, https://doi.org/10.5194/acp-15-7859-2015, 2015
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Surprisingly large concentrations and flux of atmospheric nitrogen oxides were measured at Dome C, East Antarctica. It was found that the surface snow holds a significant reservoir of photochemically produced NOx and is a sink of gas-phase ozone. Main drivers of NOx snow emissions were large snow nitrate concentrations, with contributions of increased UV from decreases in stratospheric ozone. Observed halogen and hydroxyl radical concentrations were too low to explain large NO2:NO ratios.
H. G. Chan, M. D. King, and M. M. Frey
Atmos. Chem. Phys., 15, 7913–7927, https://doi.org/10.5194/acp-15-7913-2015, https://doi.org/10.5194/acp-15-7913-2015, 2015
S. Preunkert, M. Legrand, M. M. Frey, A. Kukui, J. Savarino, H. Gallée, M. King, B. Jourdain, W. Vicars, and D. Helmig
Atmos. Chem. Phys., 15, 6689–6705, https://doi.org/10.5194/acp-15-6689-2015, https://doi.org/10.5194/acp-15-6689-2015, 2015
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During two austral summers HCHO was investigated in air, snow, and interstitial air at the Concordia site located on the East Antarctic Plateau. Snow emission fluxes were estimated to be around 1 to 2 and 3 to 5 x 10^12 molecules m-2 s-1 at night and at noon, respectively. Shading experiments suggest that the photochemical HCHO production in the snowpack at Concordia remains negligible. The mean HCHO level of 130pptv observed at 1m above the surface is quite well reproduced by 1-D simulations.
A. Kukui, M. Legrand, S. Preunkert, M. M. Frey, R. Loisil, J. Gil Roca, B. Jourdain, M. D. King, J. L. France, and G. Ancellet
Atmos. Chem. Phys., 14, 12373–12392, https://doi.org/10.5194/acp-14-12373-2014, https://doi.org/10.5194/acp-14-12373-2014, 2014
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Concentrations of OH radicals and the sum of peroxy radicals, RO2, were measured in the boundary layer for the first time on the East Antarctic Plateau at the Concordia Station during the austral summer 2011/2012. The concentrations of radicals were comparable to those observed at the South Pole, confirming that the elevated oxidative capacity of the Antarctic atmospheric boundary layer found at the South Pole is not restricted to the South Pole but common over the high Antarctic plateau.
M. Legrand, S. Preunkert, M. Frey, Th. Bartels-Rausch, A. Kukui, M. D. King, J. Savarino, M. Kerbrat, and B. Jourdain
Atmos. Chem. Phys., 14, 9963–9976, https://doi.org/10.5194/acp-14-9963-2014, https://doi.org/10.5194/acp-14-9963-2014, 2014
Q. Libois, G. Picard, J. L. France, L. Arnaud, M. Dumont, C. M. Carmagnola, and M. D. King
The Cryosphere, 7, 1803–1818, https://doi.org/10.5194/tc-7-1803-2013, https://doi.org/10.5194/tc-7-1803-2013, 2013
A. A. Marks and M. D. King
The Cryosphere, 7, 1193–1204, https://doi.org/10.5194/tc-7-1193-2013, https://doi.org/10.5194/tc-7-1193-2013, 2013
M. M. Frey, N. Brough, J. L. France, P. S. Anderson, O. Traulle, M. D. King, A. E. Jones, E. W. Wolff, and J. Savarino
Atmos. Chem. Phys., 13, 3045–3062, https://doi.org/10.5194/acp-13-3045-2013, https://doi.org/10.5194/acp-13-3045-2013, 2013
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Vincenzo Capozzi, Carmela De Vivo, and Giorgio Budillon
The Cryosphere, 16, 1741–1763, https://doi.org/10.5194/tc-16-1741-2022, https://doi.org/10.5194/tc-16-1741-2022, 2022
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The Cryosphere, 16, 1653–1673, https://doi.org/10.5194/tc-16-1653-2022, https://doi.org/10.5194/tc-16-1653-2022, 2022
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This research was conducted to better understand how coupled climate models simulate one of the large-scale interactions between the atmosphere and Arctic sea ice that we see in observational data, the accurate representation of which is important for producing reliable forecasts of Arctic sea ice on seasonal to inter-annual timescales. With network theory, this work shows that models do not reflect this interaction well on average, which is likely due to regional biases in sea ice thickness.
Priscilla A. Mooney, Diana Rechid, Edouard L. Davin, Eleni Katragkou, Natalie de Noblet-Ducoudré, Marcus Breil, Rita M. Cardoso, Anne Sophie Daloz, Peter Hoffmann, Daniela C. A. Lima, Ronny Meier, Pedro M. M. Soares, Giannis Sofiadis, Susanna Strada, Gustav Strandberg, Merja H. Toelle, and Marianne T. Lund
The Cryosphere, 16, 1383–1397, https://doi.org/10.5194/tc-16-1383-2022, https://doi.org/10.5194/tc-16-1383-2022, 2022
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Lu Gao, Haijun Deng, Xiangyong Lei, Jianhui Wei, Yaning Chen, Zhongqin Li, Miaomiao Ma, Xingwei Chen, Ying Chen, Meibing Liu, and Jianyun Gao
The Cryosphere, 15, 5765–5783, https://doi.org/10.5194/tc-15-5765-2021, https://doi.org/10.5194/tc-15-5765-2021, 2021
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There is a widespread controversy on the existence of the elevation-dependent warming (EDW) phenomenon due to the limited observations in high mountains. This study provides new evidence of EDW from the Chinese Tian Shan based on a high-resolution (1 km, 6-hourly) air temperature dataset. The result reveals the significant EDW on a monthly scale. The warming rate of the minimum temperature in winter showed a significant elevation dependence (p < 0.01), especially above 3000 m.
Rachel Diamond, Louise C. Sime, David Schroeder, and Maria-Vittoria Guarino
The Cryosphere, 15, 5099–5114, https://doi.org/10.5194/tc-15-5099-2021, https://doi.org/10.5194/tc-15-5099-2021, 2021
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Julien Beaumet, Michel Déqué, Gerhard Krinner, Cécile Agosta, Antoinette Alias, and Vincent Favier
The Cryosphere, 15, 3615–3635, https://doi.org/10.5194/tc-15-3615-2021, https://doi.org/10.5194/tc-15-3615-2021, 2021
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Gerard H. Roe, John Erich Christian, and Ben Marzeion
The Cryosphere, 15, 1889–1905, https://doi.org/10.5194/tc-15-1889-2021, https://doi.org/10.5194/tc-15-1889-2021, 2021
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Jouni Räisänen
The Cryosphere, 15, 1677–1696, https://doi.org/10.5194/tc-15-1677-2021, https://doi.org/10.5194/tc-15-1677-2021, 2021
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Interannual variability of snow amount in northern Europe is studied. In the coldest areas, total winter precipitation governs snow amount variability. In warmer regions, the fraction of snowfall that survives without melting is more important. Since winter temperature and precipitation are positively correlated, there is often more snow in milder winters in the coldest areas. However, in model simulations of a warmer future climate, snow amount decreases nearly everywhere in northern Europe.
Philipp de Vrese, Tobias Stacke, Thomas Kleinen, and Victor Brovkin
The Cryosphere, 15, 1097–1130, https://doi.org/10.5194/tc-15-1097-2021, https://doi.org/10.5194/tc-15-1097-2021, 2021
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With large amounts of carbon stored in frozen soils and a highly energy-limited vegetation the Arctic is very sensitive to changes in climate. Here our simulations with the land surface model JSBACH reveal a number of offsetting factors moderating the Arctic's net response to global warming. More importantly we find that the effects of climate change may not be fully reversible on decadal timescales, leading to substantially different CH4 emissions depending on whether the Arctic warms or cools.
Thomas E. Shaw, Wei Yang, Álvaro Ayala, Claudio Bravo, Chuanxi Zhao, and Francesca Pellicciotti
The Cryosphere, 15, 595–614, https://doi.org/10.5194/tc-15-595-2021, https://doi.org/10.5194/tc-15-595-2021, 2021
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Near surface air temperature (Ta) is important for simulating the melting of glaciers, though its variability in space and time on mountain glaciers is still poorly understood. We combine new Ta observations on glacier in Tibet with several glacier datasets around the world to explore the applicability of an existing method to estimate glacier Ta based upon glacier flow distance. We make a first step at generalising a method and highlight the remaining unknowns for this field of research.
Zoé Rehder, Anne Laura Niederdrenk, Lars Kaleschke, and Lars Kutzbach
The Cryosphere, 14, 4201–4215, https://doi.org/10.5194/tc-14-4201-2020, https://doi.org/10.5194/tc-14-4201-2020, 2020
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To better understand the connection between sea ice and permafrost, we investigate how sea ice interacts with the atmosphere over the adjacent landmass in the Laptev Sea region using a climate model. Melt of sea ice in spring is mainly controlled by the atmosphere; in fall, feedback mechanisms are important. Throughout summer, lower-than-usual sea ice leads to more southward transport of heat and moisture, but these links from sea ice to the atmosphere over land are weak.
Fabian Willibald, Sven Kotlarski, Adrienne Grêt-Regamey, and Ralf Ludwig
The Cryosphere, 14, 2909–2924, https://doi.org/10.5194/tc-14-2909-2020, https://doi.org/10.5194/tc-14-2909-2020, 2020
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Climate change will significantly reduce snow cover, but the extent remains disputed. We use regional climate model data as a driver for a snow model to investigate the impacts of climate change and climate variability on snow. We show that natural climate variability is a dominant source of uncertainty in future snow trends. We show that anthropogenic climate change will change the interannual variability of snow. Those factors will increase the vulnerabilities of snow-dependent economies.
Ramdane Alkama, Patrick C. Taylor, Lorea Garcia-San Martin, Herve Douville, Gregory Duveiller, Giovanni Forzieri, Didier Swingedouw, and Alessandro Cescatti
The Cryosphere, 14, 2673–2686, https://doi.org/10.5194/tc-14-2673-2020, https://doi.org/10.5194/tc-14-2673-2020, 2020
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The amount of solar energy absorbed by Earth is believed to strongly depend on clouds. Here, we investigate this relationship using satellite data and 32 climate models, showing that this relationship holds everywhere except over polar seas, where an increased reflection by clouds corresponds to an increase in absorbed solar radiation at the surface. This interplay between clouds and sea ice reduces by half the increase of net radiation at the surface that follows the sea ice retreat.
Lawrence Mudryk, María Santolaria-Otín, Gerhard Krinner, Martin Ménégoz, Chris Derksen, Claire Brutel-Vuilmet, Mike Brady, and Richard Essery
The Cryosphere, 14, 2495–2514, https://doi.org/10.5194/tc-14-2495-2020, https://doi.org/10.5194/tc-14-2495-2020, 2020
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We analyze how well updated state-of-the-art climate models reproduce observed historical snow cover extent and snow mass and how they project that these quantities will change up to the year 2100. Overall the updated models better represent historical snow extent than previous models, and they simulate stronger historical trends in snow extent and snow mass. They project that spring snow extent will decrease by 8 % for each degree Celsius that the global surface air temperature increases.
Álvaro Ayala, David Farías-Barahona, Matthias Huss, Francesca Pellicciotti, James McPhee, and Daniel Farinotti
The Cryosphere, 14, 2005–2027, https://doi.org/10.5194/tc-14-2005-2020, https://doi.org/10.5194/tc-14-2005-2020, 2020
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We reconstruct past glacier changes (1955–2016) and estimate the committed ice loss in the Maipo River basin (semi-arid Andes of Chile), with a focus on glacier runoff. We found that glacier volume has decreased by one-fifth since 1955 and that glacier runoff shows a sequence of decreasing maxima starting in a severe drought in 1968. As meltwater originating from the Andes plays a key role in this dry region, our results can be useful for developing adaptation or mitigation strategies.
Alice Barthel, Cécile Agosta, Christopher M. Little, Tore Hattermann, Nicolas C. Jourdain, Heiko Goelzer, Sophie Nowicki, Helene Seroussi, Fiammetta Straneo, and Thomas J. Bracegirdle
The Cryosphere, 14, 855–879, https://doi.org/10.5194/tc-14-855-2020, https://doi.org/10.5194/tc-14-855-2020, 2020
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We compare existing coupled climate models to select a total of six models to provide forcing to the Greenland and Antarctic ice sheet simulations of the Ice Sheet Model Intercomparison Project (ISMIP6). We select models based on (i) their representation of current climate near Antarctica and Greenland relative to observations and (ii) their ability to sample a diversity of projected atmosphere and ocean changes over the 21st century.
Hannah S. Weiss, Paul R. Bierman, Yves Dubief, and Scott D. Hamshaw
The Cryosphere, 13, 3367–3382, https://doi.org/10.5194/tc-13-3367-2019, https://doi.org/10.5194/tc-13-3367-2019, 2019
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Climate change is devastating winter tourism. High-elevation, high-latitude ski centers have turned to saving snow over the summer. We present results of two field seasons to test and optimize over-summer snow storage at a midlatitude, low-elevation nordic ski center in the northeastern USA. In 2018, we tested coverings and found success overlaying 20 cm of wet woodchips with a reflective sheet. In 2019, we employed this strategy to a large pile and stored sufficient snow to open the ski season.
Julien Beaumet, Michel Déqué, Gerhard Krinner, Cécile Agosta, and Antoinette Alias
The Cryosphere, 13, 3023–3043, https://doi.org/10.5194/tc-13-3023-2019, https://doi.org/10.5194/tc-13-3023-2019, 2019
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The atmospheric model ARPEGE is used with a stretched grid in order to reach an average horizontal resolution of 35 km over Antarctica. Over 1981–2010, we forced the model with observed and modelled sea surface conditions (SSCs). For the late 21st century, we use original and bias-corrected sea surface conditions from RCP8.5 climate projections. We assess the impact of using direct or bias-corrected SSCs for the evolution of Antarctic climate and surface mass balance.
Suzanne L. Bevan, Adrian J. Luckman, Douglas I. Benn, Tom Cowton, and Joe Todd
The Cryosphere, 13, 2303–2315, https://doi.org/10.5194/tc-13-2303-2019, https://doi.org/10.5194/tc-13-2303-2019, 2019
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Kangerlussuaq Glacier in Greenland retreated significantly in the early 2000s and typified the response of calving glaciers to climate change. Satellite images show that it has recently retreated even further. The current retreat follows the appearance of extremely warm surface waters on the continental shelf during the summer of 2016, which likely entered the fjord and caused the rigid mass of sea ice and icebergs, which normally inhibits calving, to melt and break up.
Ward van Pelt, Veijo Pohjola, Rickard Pettersson, Sergey Marchenko, Jack Kohler, Bartłomiej Luks, Jon Ove Hagen, Thomas V. Schuler, Thorben Dunse, Brice Noël, and Carleen Reijmer
The Cryosphere, 13, 2259–2280, https://doi.org/10.5194/tc-13-2259-2019, https://doi.org/10.5194/tc-13-2259-2019, 2019
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The climate in Svalbard is undergoing amplified change compared to the global mean, which has a strong impact on the climatic mass balance of glaciers and the state of seasonal snow in land areas. In this study we analyze a coupled energy balance–subsurface model dataset, which provides detailed information on distributed climatic mass balance, snow conditions, and runoff across Svalbard between 1957 and 2018.
Andreas Born, Michael A. Imhof, and Thomas F. Stocker
The Cryosphere, 13, 1529–1546, https://doi.org/10.5194/tc-13-1529-2019, https://doi.org/10.5194/tc-13-1529-2019, 2019
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We present a new numerical model to simulate the surface energy and mass balance of snow and ice. While similar models exist and cover a wide range of complexity from empirical models to those that simulate the microscopic structure of individual snow grains, we aim to strike a balance between physical completeness and numerical efficiency. This new model will enable physically accurate simulations over timescales of hundreds of millennia, a key requirement of investigating ice age cycles.
Peter J. Irvine, David W. Keith, and John Moore
The Cryosphere, 12, 2501–2513, https://doi.org/10.5194/tc-12-2501-2018, https://doi.org/10.5194/tc-12-2501-2018, 2018
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Stratospheric aerosol geoengineering, a form of solar geoengineering, is a proposal to add a reflective layer of aerosol to the upper atmosphere. This would reduce sea level rise by slowing the melting of ice on land and the thermal expansion of the oceans. However, there is considerable uncertainty about its potential efficacy. This article highlights key uncertainties in the sea level response to solar geoengineering and recommends approaches to address these in future work.
Martin Wegmann, Emanuel Dutra, Hans-Werner Jacobi, and Olga Zolina
The Cryosphere, 12, 1887–1898, https://doi.org/10.5194/tc-12-1887-2018, https://doi.org/10.5194/tc-12-1887-2018, 2018
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An important factor for Earth's climate is the high sunlight reflectivity of snow. By melting, it reveals darker surfaces and sunlight is converted to heat. We investigate how well this process is represented in reanalyses data sets compared to observations over Russia. We found snow processes to be well represented, but reflectivity variability needs to be improved. Our results highlight the need for a better representation of this key climate change feedback process in modelled data.
Marcus Lofverstrom and Johan Liakka
The Cryosphere, 12, 1499–1510, https://doi.org/10.5194/tc-12-1499-2018, https://doi.org/10.5194/tc-12-1499-2018, 2018
Prisco Frei, Sven Kotlarski, Mark A. Liniger, and Christoph Schär
The Cryosphere, 12, 1–24, https://doi.org/10.5194/tc-12-1-2018, https://doi.org/10.5194/tc-12-1-2018, 2018
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Snowfall is central to Alpine environments, and its future changes will be associated with pronounced impacts. We here assess future snowfall changes in the European Alps based on an ensemble of state-of-the-art regional climate model experiments and on two different greenhouse gas emission scenarios. The results reveal pronounced changes in the Alpine snowfall climate with considerable snowfall reductions at low and mid-elevations but also snowfall increases at high elevations in midwinter.
Jingang Zhan, Hongling Shi, Yong Wang, and Yixin Yao
The Cryosphere, 11, 1487–1499, https://doi.org/10.5194/tc-11-1487-2017, https://doi.org/10.5194/tc-11-1487-2017, 2017
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The mass balance change on Qinghai-Tibet Plateau is the result of interactions between the atmospheric vapor and the surface water resources. We evaluated the spatial characteristics and principal components of mass balance change using CPCA and wavelet analysis. The results reflect the change in four major different atmospheric circulation patterns and their contribution percentages to mass balance. The novelty of the phase information revealed their impact area and travel route in detail.
Ira Leifer, Denis Chernykh, Natalia Shakhova, and Igor Semiletov
The Cryosphere, 11, 1333–1350, https://doi.org/10.5194/tc-11-1333-2017, https://doi.org/10.5194/tc-11-1333-2017, 2017
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Vast Arctic methane deposits may alter global climate and require remote sensing (RS) to map. Sonar has great promise, but quantitative inversion based on theory is challenged by multiple bubble acoustical scattering in plumes. We demonstrate use of a real-world in situ bubble plume calibration using a bubble model to correct for differences in the calibration and seep plumes. Spatial seep sonar maps were then used to improve understanding of subsurface geologic controls.
Riccardo E. M. Riva, Thomas Frederikse, Matt A. King, Ben Marzeion, and Michiel R. van den Broeke
The Cryosphere, 11, 1327–1332, https://doi.org/10.5194/tc-11-1327-2017, https://doi.org/10.5194/tc-11-1327-2017, 2017
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The reduction of ice masses stored on land has made an important contribution to sea-level rise over the last century, as well as changed the Earth's shape. We model the solid-earth response to ice mass changes and find significant vertical deformation signals over large continental areas. We show how deformation rates have varied strongly throughout the last century, which affects the interpretation and extrapolation of recent observations of vertical land motion and sea-level change.
Henning Åkesson, Kerim H. Nisancioglu, Rianne H. Giesen, and Mathieu Morlighem
The Cryosphere, 11, 281–302, https://doi.org/10.5194/tc-11-281-2017, https://doi.org/10.5194/tc-11-281-2017, 2017
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We present simulations of the history of Hardangerjøkulen ice cap in southern Norway using a dynamical ice sheet model. From mid-Holocene ice-free conditions 4000 years ago, Hardangerjøkulen grows nonlinearly in response to a linear climate forcing, reaching maximum extent during the Little Ice Age (~ 1750 AD). The ice cap exhibits spatially asymmetric growth and retreat and is highly sensitive to climate change. Our results call for reassessment of glacier reconstructions from proxy records.
Ethan R. Dale, Adrian J. McDonald, Jack H. J. Coggins, and Wolfgang Rack
The Cryosphere, 11, 267–280, https://doi.org/10.5194/tc-11-267-2017, https://doi.org/10.5194/tc-11-267-2017, 2017
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This work studies the affects of strong winds on sea ice within the Ross Sea polynya. We compare both automatic weather station (AWS) and reanalysis wind data with sea ice concentration (SIC) measurements based on satellite images. Due to its low resolution, the reanalysis data were unable to reproduce several relationships found between the AWS and SIC data. We find that the strongest third of wind speeds had the most significant affect on SIC and resulting sea ice production.
Christopher J. Fogwill, Erik van Sebille, Eva A. Cougnon, Chris S. M. Turney, Steve R. Rintoul, Benjamin K. Galton-Fenzi, Graeme F. Clark, E. M. Marzinelli, Eleanor B. Rainsley, and Lionel Carter
The Cryosphere, 10, 2603–2609, https://doi.org/10.5194/tc-10-2603-2016, https://doi.org/10.5194/tc-10-2603-2016, 2016
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Here we report new data from in situ oceanographic surveys and high-resolution ocean modelling experiments in the Commonwealth Bay region of East Antarctica, where in 2010 there was a major reconfiguration of the regional icescape due to the collision of the 97 km long iceberg B09B with the Mertz Glacier tongue. Here we compare post-calving observations with high-resolution ocean modelling which suggest that this reconfiguration has led to the development of a new polynya off Commonwealth Bay.
Anders Levermann and Ricarda Winkelmann
The Cryosphere, 10, 1799–1807, https://doi.org/10.5194/tc-10-1799-2016, https://doi.org/10.5194/tc-10-1799-2016, 2016
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In recent decades, the Greenland Ice Sheet has been losing mass and has thereby contributed to global sea-level rise. Here we derive the basic equations for the melt elevation feedback that can lead to self-amplifying melt of the Greenland Ice Sheet and ice sheets in general. The theory unifies the results of complex models when the feedback dominates the dynamics and it allows us to estimate the melt time of ice sheets from data in cases where ice dynamic loss can be neglected.
Franco Salerno, Sudeep Thakuri, Nicolas Guyennon, Gaetano Viviano, and Gianni Tartari
The Cryosphere, 10, 1433–1448, https://doi.org/10.5194/tc-10-1433-2016, https://doi.org/10.5194/tc-10-1433-2016, 2016
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This contribution shows that the surface area variations of unconnected glacial ponds, i.e. ponds not directly connected to glacier ice, can be considered as suitable proxies for detecting past changes in the main hydrological components of the water balance (glacier melt, precipitation, evaporation) on the south side of Mt Everest.
Christiane Meyer, Ulrich Meyer, Andreas Pflitsch, and Valter Maggi
The Cryosphere, 10, 879–894, https://doi.org/10.5194/tc-10-879-2016, https://doi.org/10.5194/tc-10-879-2016, 2016
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In the paper a new method to calculate airflow speeds in static ice caves by using air temperature data is presented. As most study sites are in very remote places, where it is often not possible to use sonic anemometers and other devices for the analysis of the cave climate, we show how one can use the given database for calculating airflow speeds. Understanding/quantifying all elements of the specific cave climate is indispensable for understanding the evolution of the ice body in ice caves.
F. Maussion, W. Gurgiser, M. Großhauser, G. Kaser, and B. Marzeion
The Cryosphere, 9, 1663–1683, https://doi.org/10.5194/tc-9-1663-2015, https://doi.org/10.5194/tc-9-1663-2015, 2015
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Using a newly developed open-source tool, we downscale the glacier surface energy and mass balance fluxes at Shallap Glacier. This allows an unprecedented quantification of the ENSO influence on a tropical glacier at climatological time scales (1980-2013). We find a stronger and steadier anti-correlation between Pacific sea-surface temperature (SST) and glacier mass balance than previously reported and provide keys to understand its mechanism.
F. Salerno, N. Guyennon, S. Thakuri, G. Viviano, E. Romano, E. Vuillermoz, P. Cristofanelli, P. Stocchi, G. Agrillo, Y. Ma, and G. Tartari
The Cryosphere, 9, 1229–1247, https://doi.org/10.5194/tc-9-1229-2015, https://doi.org/10.5194/tc-9-1229-2015, 2015
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Climate-trends data in Himalaya are completely absent at high elevation. We explore the south slopes of Mt Everest though time series reconstructed from 7 stations (2660-5600m) during 1994-2013. The main increase in temp is concentrated outside of the monsoon, minimum temp increased far more than maximum, while we note a precipitation weakening. We contribute to change the perspective on which climatic drivers (temperature vs. precipitation) led mainly the glacier responses in the last 20 yr.
H. Castebrunet, N. Eckert, G. Giraud, Y. Durand, and S. Morin
The Cryosphere, 8, 1673–1697, https://doi.org/10.5194/tc-8-1673-2014, https://doi.org/10.5194/tc-8-1673-2014, 2014
S. Gebre, T. Boissy, and K. Alfredsen
The Cryosphere, 8, 1589–1605, https://doi.org/10.5194/tc-8-1589-2014, https://doi.org/10.5194/tc-8-1589-2014, 2014
A. J. Wiltshire
The Cryosphere, 8, 941–958, https://doi.org/10.5194/tc-8-941-2014, https://doi.org/10.5194/tc-8-941-2014, 2014
A. Gilbert, C. Vincent, D. Six, P. Wagnon, L. Piard, and P. Ginot
The Cryosphere, 8, 689–703, https://doi.org/10.5194/tc-8-689-2014, https://doi.org/10.5194/tc-8-689-2014, 2014
M. P. Lüthi
The Cryosphere, 8, 639–650, https://doi.org/10.5194/tc-8-639-2014, https://doi.org/10.5194/tc-8-639-2014, 2014
M. Ménégoz, G. Krinner, Y. Balkanski, A. Cozic, O. Boucher, and P. Ciais
The Cryosphere, 7, 537–554, https://doi.org/10.5194/tc-7-537-2013, https://doi.org/10.5194/tc-7-537-2013, 2013
M. M. Helsen, R. S. W. van de Wal, M. R. van den Broeke, W. J. van de Berg, and J. Oerlemans
The Cryosphere, 6, 255–272, https://doi.org/10.5194/tc-6-255-2012, https://doi.org/10.5194/tc-6-255-2012, 2012
J. J. Day, J. L. Bamber, P. J. Valdes, and J. Kohler
The Cryosphere, 6, 35–50, https://doi.org/10.5194/tc-6-35-2012, https://doi.org/10.5194/tc-6-35-2012, 2012
W. Schöner, G. Weyss, and E. Mursch-Radlgruber
The Cryosphere, 5, 603–616, https://doi.org/10.5194/tc-5-603-2011, https://doi.org/10.5194/tc-5-603-2011, 2011
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