The Cryosphere Discussions
Papers 901
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#1Jeffrey M. McKenzie (McGill University)H-Index: 28
#2Barret L. Kurylyk (Dal: Dalhousie University)H-Index: 16
Last. Christophe Grenier (Université Paris-Saclay)H-Index: 8
view all 7 authors...
Abstract. As permafrost thaws in the Arctic, new subsurface pathways open for the movement of groundwater, energy, and solutes. We identify different ways that these subsurface changes are driving observed surface phenomena, including the potential for increased contaminant transport, modification to water resources, and enhanced rates of infrastructure (e.g. buildings and roads) damage. Further, as permafrost thaws it allows groundwater to transport carbon, nutrients, and other dissolved consti...
#1Anna Chesnokova (École de technologie supérieure)
#2Michel Baraer (École de technologie supérieure)H-Index: 15
Last. Emilie Bouchard (École de technologie supérieure)
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Abstract. The ongoing warming of cold regions is affecting hydrological processes, causing deep changes such as a ubiquitous increase in river winter discharges. The drivers of this increase are not yet fully identified, mainly due to the lack of observations and field measurements in cold and remote environments. In order to provide new insights into the sources generating winter runoff, the present study explores the possibility to extract information from icings that form over the winter and ...
#1Wang Yangjun (National University of Defense Technology)
#2Liu Kefeng (National University of Defense Technology)
Last. Qian Longxia (NUPT: Nanjing University of Posts and Telecommunications)
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Abstract. This paper aims to find a possible ensemble method to combine the global climate models, providing an accuracy forecast of sea ice thickness. Conventional multimodel superensemble, the advanced method that is widely used in atmosphere, ocean and other fields, cannot be well performed in sea ice thickness simulation. Hence, an adaptive forecasting through exponential re-weighting (AFTER) algorithm is adopted to improve the conventional multimodel superensemble. Results show our proposed...
#1Yanbin Lei (CAS: Chinese Academy of Sciences)H-Index: 13
#2YAOTandong (CAS: Chinese Academy of Sciences)H-Index: 62
Last. Fanny Brun (University of Toulouse)H-Index: 11
view all 12 authors...
Abstract. Two giant glaciers at the Aru range, western Tibetan Plateau, collapsed suddenly on 17 July and 21 September 2016, respectively, causing fatal damage to local people and their livestock. The ice avalanches, with a total volume of 150 × 106 m3, had almost melted by September 2019. Based on in-situ observation, bathymetry survey and satellite data, here we show the impacts of the two glacier collapses on the downstream lakes, the outflow Aru Co and the terminal Memar Co, in terms of lake...
#1Shuzhen Hu (NUIST: Nanjing University of Information Science and Technology)
#2Wenkai Li (NUIST: Nanjing University of Information Science and Technology)
Abstract. Accurate subseasonal-to-seasonal (S2S) atmospheric forecasts and hydrological forecasts have considerable socioeconomic value. This study conducts a multimodel comparison of the Tibetan Plateau snow cover (TPSC) prediction skill using three models (ECMWF, NCEP and CMA) selected from the S2S project database to understand their performance in capturing TPSC variability. S2S models can skilfully forecast TPSC within a lead time of 2 weeks but show limited skill beyond 3 weeks. Compared w...
#1Sahra Kacimi (California Institute of Technology)H-Index: 3
#2R. Kowk (California Institute of Technology)H-Index: 63
Abstract. We offer a view of the Antarctic sea ice cover from lidar (ICESat-2) and radar (CryoSat-2) altimetry, with retrievals of freeboards, snow depth, and ice volume that span an 8-month winter between April 2019 and November 2019. Snow depths are from freeboard differences. The multiyear ice in the West Weddell sector stands out with a mean sector thickness > 2 m. Thinnest ice is found near polynyas (Ross Sea and Ronne) where new ice areas are exported seaward and entrained in the surroundi...
#1Ana Moreno (CSIC: Spanish National Research Council)H-Index: 27
#2Miguel Bartolomé (CSIC: Spanish National Research Council)H-Index: 8
Last. Penélope González-Sampériz (CSIC: Spanish National Research Council)H-Index: 34
view all 24 authors...
Abstract. Mountain glaciers have generally experienced an accelerated retreat over the last three decades as a rapid response to current global warming. However, the response to previous warm periods in the Holocene is not well-described for glaciers of the of southern Europe mountain ranges, such as the Pyrenees. The situation during the Medieval Climate Anomaly (900–1300 CE) is particularly relevant since it is not certain whether the glaciers just experienced significant ice loss or whether t...
#1Morgan E. Monz (UMN: University of Minnesota)
#2Peter J. Hudleston (UMN: University of Minnesota)H-Index: 31
Last. Chao Qi (CAS: Chinese Academy of Sciences)
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Abstract. Microstructures provide key insights into understanding the mechanical behavior of ice. Crystallographic preferred orientation (CPO) develops during plastic deformation as ice dynamically recrystallizes, with the dominance of intracrystalline glide on the basal plane. CPO patterns in fine-grained ice have been relatively well characterized and understood in experiments and nature, whereas CPO patterns in "warm" (T > −10 oC), coarse-grained, natural ice remain enigmatic. Previous micros...
#1Sourav Chatterjee (Goa University)
#2Roshin P. Raj (Bjerknes Centre for Climate Research)H-Index: 5
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Abstract. The amount and spatial extent of Greenland Sea (GS) sea ice are primarily driven by the sea ice export across the Fram Strait (FS) and by local seasonal sea ice formation, melting and sea ice dynamics. Maximum sea ice concentration (SIC) variability is found in the marginal ice zone and ‘Odden’ region in the central GS. In this study, using satellite passive microwave sea ice observations, atmospheric and a coupled ocean-sea ice reanalysis system we show that both the atmospheric and o...
#1Baojuan Huai (SDNU: Shandong Normal University)H-Index: 3
#2M. R. van den Broeke (UU: Utrecht University)H-Index: 70
Last. Carleen H. Reijmer (UU: Utrecht University)H-Index: 34
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Abstract. We present the surface energy balance (SEB) of the west Greenland ice sheet (GrIS), using an energy balance model forced with hourly observations from nine automatic weather stations (AWS) along two transects: the K-transect with seven AWS in the southwest and the T-transect with two AWS in the northwest. Modeled and observed surface temperatures for non-melting conditions agree well, with RMSEs of 1.1–1.6 K, while reasonable agreement is found between modeled and observed 10-day cumul...
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