Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
TC cover
Co-editors-in-chief:
Florent
 
Dominé
,
Olaf
 
Eisen
,
Christian
 
Haas
,
Christian
 
Hauck
 &
Thomas
 
Mölg
The Cryosphere (TC) is an international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on all aspects of frozen water and ground on Earth and on other planetary bodies.
The main subject areas are ice sheets and glaciers, planetary ice bodies, permafrost, river and lake ice, seasonal snow cover, sea ice, remote sensing, numerical modelling, in situ and laboratory studies of the above and including studies of the interaction of the cryosphere with the rest of the climate system.
News
Farewell to Hilmar Gudmundsson and Welcome Christian Haas 15 May 2018

With Hilmar Gudmundsson one of the last editors from the early days of the journal is now stepping down. We are delighted to welcome his successor Christian Haas, who is an expert in sea ice physics and has been a TC topical editor for several years.

Extended agreement with the Leibniz Association 03 May 2018

As of 1 May 2018 the centralized payment of article processing charges (APCs) with the Leibniz Association has been extended to 53 Leibniz Institutions participating in the Leibniz Association's Open Access Publishing Fund.

New article processing charges for TC 05 Dec 2017

From 1 January 2018 The Cryosphere (TC) will slightly increase the article processing charges.

Recent articles

Highlight articles

In this paper we analyze snow data from Soviet airborne expeditions, Sever, which operated in late winter 1959–1986, in the Arctic and made snow measurements on the ice around plane landing sites. The snow measurements were made on the multiyear ice in the central Arctic and on the first-year ice in the Eurasian seas in the areas for which snow characteristics are poorly described in the literature. The main goal of this study is to produce an improved data set of snow depth on the sea ice.

Elena V. Shalina and Stein Sandven

Two recent studies suggested a slowdown in mass loss after 2000 of the Juneau and Stikine icefields, accounting for 10% of the total ice cover in Alaska. Here, the ASTER-based geodetic mass balances are revisited, carefully avoiding the use of the SRTM DEM, because of the unknown penetration depth of the SRTM C-band radar signal. We find strongly negative mass balances from 2000 to 2016 for both icefields, in agreement with airborne laser altimetry. Mass losses are thus continuing unabated.

Etienne Berthier, Christopher Larsen, William J. Durkin, Michael J. Willis, and Matthew E. Pritchard

Including ice sheets as an interactive component of an Earth-system model is challenging, as ice sheets evolve slowly in response to climate change (past, present & future). Long climate–ice sheet simulations often compromise the ability to resolve interactions (across space and time) in order to achieve computational efficiency. We show that this approach might be flawed, as it can yield large biases in the simulated climate that can in turn influence the ice sheet evolution.

Marcus Lofverstrom and Johan Liakka

Most mountain glaciers have receded throughout the last century in response to global climate change. This recession produces a range of natural hazards including glacial lake outburst floods (GLOFs). We have produced the first global inventory of GLOFs associated with the failure of moraine dams and show, counterintuitively, that these have reduced in frequency over recent decades. In this paper we explore the reasons for this pattern.

Stephan Harrison, Jeffrey S. Kargel, Christian Huggel, John Reynolds, Dan H. Shugar, Richard A. Betts, Adam Emmer, Neil Glasser, Umesh K. Haritashya, Jan Klimeš, Liam Reinhardt, Yvonne Schaub, Andy Wiltshire, Dhananjay Regmi, and Vít Vilímek

This work proposes a new data synergy method for the retrieval of sea ice thickness and snow depth by using colocating L-band passive remote sensing and active laser altimetry. Physical models are adopted for the retrieval, including L-band radiation model and buoyancy relationship. Covariability of snow depth and total freeboard is further utilized to mitigate resolution differences and improve retrievability. The method can be applied to future campaigns including ICESat-2 and WCOM.

Lu Zhou, Shiming Xu, Jiping Liu, and Bin Wang

Publications Copernicus