Nevison Cynthia D, Mahowald Natalie M, Doney Scott C, Lima Ivan D, van der Werf Guido R, Randerson James T, Baker David F, Kasibhatla Prasad, McKinley Galen A, . (2008). Contribution of ocean, fossil fuel, land biosphere, and biomass burning carbon fluxes to seasonal and interannual variability in atmospheric CO2
. J. Geophys. Res., 113(G1), G01010–.
Keywords: atmospheric CO 2, interannual variability, seasonal cycles, transport model, 0428 Biogeosciences: Carbon cycling, 0414 Biogeosciences: Biogeochemical cycles, processes, and modeling, 0315 Atmospheric Composition and Structure: Biosphere/atmosphere interactions, 0312 Atmospheric Composition and Structure: Air/sea constituent fluxes, 0368 Atmospheric Composition and Structure: Troposphere: constituent transport and chemistry,
Programme: 416
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Lavrillier, A., L. Egorova, S. Gabyshev. (2022). Der Klimawandel aus Sicht der Wissenschaft der sibirischen indigenen Bevölkerung (Evenken) (Vol. In E. Kasten Mensch und Natur in Sibirien: Umweltw).
Abstract: a chapter in a peer-reviewed edited volume volume
Programme: 1127
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Lavrillier, A., L. Egorova, S. Gabyshev. (2022). Izmeneniye klimata s tochki zreniya nauki korennykh narodov Sibiri (evenkov) [Climate change from the point of view of science of the indigenous peoples of Siberia (Evenks)] (Vol. In E. Kasten Chelovek i priroda v Sibiri: Ekologic).
Abstract: Chapter peer-reviewed edited volumes
Programme: 1127
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MAJ Emilie. (2011). Crin noir, crin blanc, fil du destin
.22–23.
Abstract: A popular article in form of an invented tale abot the use of horse hair by Yakut people in the past
Programme: 1024
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Domine Florent, Bock Josu, Morin Samuel, Giraud Grald, . (2011). Linking the effective thermal conductivity of snow to its shear strength and density
. J. Geophys. Res., 116(F4), F04027–.
Abstract: The effective thermal conductivity of snow, keff, is a crucial climatic and environmental variable. Here, we test the intuition that keff is linked to microstructural and mechanical properties by attempting to relate keff to density ρsnow, and to shear strength σ measured with a handheld shear vane. We performed 106 combined measurements of keff, ρsnow and σ in the Alps, Svalbard, Arctic Alaska, and near the North Pole, covering essentially all snow types. We find a good correlation between keff and ρsnow which is not significantly different from that of Sturm et al. (1997). The correlation between keff and a combination of σ and ρsnow is stronger than with density alone. We propose an equation linking keff, (W m-1 K-1) ρsnow (kg m-3) and σ (Pa): keff = 7.114 10-5 ρsnow σ0.333 + 2.367 10-2. This equation places constraints on the calculation of keff, ρsnow and σ in avalanche warning models where σ is a key variable. For our samples, we calculate σ from measured values of keff and ρsnow using our equation and compare the value to that predicted by the French MEPRA avalanche warning model, which uses density and grain type as input data. MEPRA and the prediction of σ based on keff and ρsnow agree within 8%. MEPRA agrees with observations within 11%. Calculating σ from density only yields values 55% lower than measured, showing the interest of using additional data to predict σ.
Keywords: avalanche, shear strength, snow, thermal conductivity, 0736 Cryosphere: Snow (1827, 1863), 0742 Cryosphere: Avalanches (4302), 0770 Cryosphere: Properties, 0776 Cryosphere: Glaciology (1621, 1827, 1863),
Programme: 1017
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. (2009). J. Geophys. Res., 114(F3), F03005.
Keywords: ice caps, climate change, remote sensing, Kerguelen Islands, Southern Ocean, mass balance.
Programme: 136
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Berthier Etienne, Le Bris Raymond, Mabileau Laure, Testut Laurent, Rmy Frdrique, . (2009). Ice wastage on the Kerguelen Islands (49S, 69E) between 1963 and 2006
. J. Geophys. Res., 114(F3), F03005–.
Keywords: ice caps, climate change, remote sensing, Kerguelen Islands, Southern Ocean, mass balance, 0720 Cryosphere: Glaciers, 0738 Cryosphere: Ice, 0776 Cryosphere: Glaciology, 0758 Cryosphere: Remote sensing, 0762 Cryosphere: Mass balance,
Programme: 688
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Durand G, Gagliardini O, de Fleurian B, Zwinger T, Le Meur E, . (2009). Marine ice sheet dynamics: Hysteresis and neutral equilibrium
. J. Geophys. Res., 114(F3), F03009–.
Keywords: marine ice sheet, grounding line, full Stokes modeling, 0774 Cryosphere: Dynamics, 0726 Cryosphere: Ice sheets, 0728 Cryosphere: Ice shelves, 0798 Cryosphere: Modeling,
Programme: 1053
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Gusmeroli Alessio, Pettit Erin C, Kennedy Joseph H, Ritz Catherine, . (2012). The crystal fabric of ice from full-waveform borehole sonic logging
. J. Geophys. Res., 117(F3), F03021–.
Abstract: In an ice sheet, a preferred crystal orientation fabric affects deformation rates because ice crystals are strongly anisotropic: shear along the basal plane is significantly easier than shear perpendicular to the basal plane. The effect of fabric can be as important as temperature in defining deformation rates. Fabric is typically measured using analysis of thin sections under the microscope with co-polarized light. Due to the time-consuming and destructive nature of these measurements, however, it is difficult to capture the spatial variation in fabric necessary for evincing ice sheet flow patterns. Because an ice crystal is similarly elastically anisotropic, the speed of elastic waves through ice can be used as a proxy for quantify anisotropy. We use borehole sonic logging measurements and thin section data from Dome C, East Antarctica to define the relations between apparent fabric and borehole measured elastic speeds (compressional VP and vertically polarized shear VSV). These relations, valid for single maximum fabrics, allow in-situ, depth-continuous fabric estimates of unimodal fabric strength from borehole sonic logging. We describe the single maximum fabric using a1: the largest eigenvalue of the second-order orientation tensor. For ice at -16C and a1 in the 0.7-1 range the relations are VP = 248 a13.7 + 3755 m s-1 and VSV = -210a17.3 + 1968 m s-1.
Keywords: Ice anisotropy, borehole sonic logging, ice crystal fabric, 0726 Cryosphere: Ice sheets, 0915 Exploration Geophysics: Downhole methods, 0935 Exploration Geophysics: Seismic methods (3025, 7294),
Programme: 902
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Favier Vincent, Agosta Ccile, Genthon Christophe, Arnaud Laurent, Trouvillez Alexandre, Galle Hubert, . (2011). Modeling the mass and surface heat budgets in a coastal blue ice area of Adelie Land, Antarctica
. 0148-0227, 116(F3), F03017–.
Abstract: Meteorological data recorded from 12 December 2008 to 30 June 2010 were analyzed to assess the surface energy balance (SEB) in a blue ice area of Cap Prudhomme, Adelie Land (6641′S, 13955′E). The SEB was computed with a newly developed model forced by direct measurements and with a voluntarily limited number of parameters to better assess model sensitivity. Incoming short-wave radiation was corrected for the slope and orientation of the local terrain assuming direct and diffuse radiation components. Turbulent heat fluxes were assessed using the bulk aerodynamic approach. Heat conduction in the ice was computed by solving the thermal diffusion equation. Snow accumulation was modeled using ERA interim total precipitation and a one-dimensional erosion model. The surface heat budget and accumulation/erosion model accurately reproduced field observations. The occurrence of blue ice is linked with higher rates of erosion than in the surrounding snow covered areas, which may be caused by local flow divergence or snow not being redistributed from higher elevations. Melting occurs between December and February when incoming short-wave radiation is high. However, the SEB was closely linked to air temperature through the incoming long-wave radiation and the turbulent sensible heat flux. Several warm events caused by cyclones intruding into the continent led to significant warming of the ice and high melting rates. Intruding cyclones were also associated with high precipitation that led to significant accumulation. Except in blue ice areas, modeling suggests that expected higher precipitation in a warmer climate will result in more accumulation.
Keywords: Antarctica, blue ice, cryosphere, energy balance, melting, 0738 Cryosphere: Ice (1863), 0762 Cryosphere: Mass balance (1218, 1223), 0764 Cryosphere: Energy balance, 0768 Cryosphere: Thermal regime, 0798 Cryosphere: Modeling (1952, 4316),
Programme: 411;1013
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