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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Mass budget (Geophysics). ; Electronic books.
    Description / Table of Contents: Land and sea ice combined form the largest part of the Earth's cryosphere, responding to climate change over timescales ranging from seasons to millennia. This is a detailed and comprehensive overview of the observation and modelling of present and predicted future trends in the mass balance of ice on Earth.
    Type of Medium: Online Resource
    Pages: 1 online resource (664 pages)
    Edition: 1st ed.
    ISBN: 9780511187636
    DDC: 551.31
    Language: English
    Note: Cover -- Half-title -- Title -- Copyright -- Contents -- Contributors -- Foreword -- Preface -- 1 Introduction and background -- 1.1 Aims and objectives of the book -- 1.2 Importance of the cryosphere in the Earth system -- 1.2.1 Sea level -- 1.2.2 Ice-ocean-atmosphere feedbacks -- 1.3 Timescales of variability -- 1.4 Geographical context -- References -- Part I Observational techniques and methods -- 2 In situ measurement techniques: land ice -- 2.1 Introduction -- 2.2 Mass balance equations -- 2.3 Direct measurement of surface elevation change -- 2.3.1 Traditional surveying methods -- 2.3.2 Cartographic method: comparison of topographic maps from different years -- 2.3.3 Repeated altitude profiles by GPS -- 2.3.4 Coffee-can method -- 2.4 Measurement of mass balance components -- 2.4.1 Accumulation and ablation rate -- Stake readings -- Index methods -- Pit studies, firn and ice cores -- Annual cycles - oxygen isotopes, dust, chemistry -- Reference layers -- Automatic registrations -- Ground-penetrating radar (GPR) -- 2.4.2 Superimposed ice and internal accumulation -- 2.4.3 Error analysis -- 2.4.4 Balance velocity -- 2.4.5 Calving -- 2.4.6 Bottom mass balance (floating glaciers and ice shelves) -- Upward-pointing echo sounder -- Thickness change in bore holes, combined with strain-rate and surface balance measurements -- Mass flux divergence calculations -- The cavity beneath the glacier -- 2.5 Local mass balance equation -- 2.6 Conclusion -- References -- 3 In situ measurement techniques: sea ice -- 3.1 Current techniques -- 3.1.1 Submarine sonar profiling -- 3.1.2 Moored upward sonars -- 3.1.3 Airborne laser profilometry -- 3.1.4 Airborne electromagnetic techniques -- 3.1.5 Drilling -- 3.2 Possible future techniques -- 3.2.1 Sonar on AUVs and floats -- 3.2.2 Acoustic tomography -- 3.2.3 The use of microwave sensors -- References. , 4 Remote-sensing techniques -- 4.1 Introduction -- 4.2 Electromagnetic theory and basic principles -- 4.3 Satellites and sensors -- 4.3.1 Visible and infra-red sensors -- Landsat -- SPOT -- ASTER -- AVHRR -- 4.3.2 Synthetic aperture radars and scatterometers -- 4.3.3 Satellite altimetry -- Atmospheric corrections -- Orbits -- CryoSat -- The ice, clouds and elevation satellite, ICESat -- 4.3.4 Passive microwave radiometers (PMRs) -- 4.4 Land-ice mass balance -- 4.4.1 Direct measurement of volume changes -- Radar altimetry -- Laser altimetry -- Other methods of determining volume change -- 4.4.2 Measurement of mass balance components: budget approach -- Accumulation rates -- Ablation -- Iceberg calving -- Bottom mass balance of floating ice -- Grounding-line fluxes -- Determination of ice thickness -- Velocity and grounding-line estimation -- 4.4.3 Balance velocities and fluxes -- 4.5 Sea-ice mass balance: introduction -- 4.5.1 Sea-ice coverage - extent, concentration and type -- Retrieval of ice concentration and extent -- Ice types -- Ice types from passive microwave data -- Ice types from active microwave data -- 4.5.2 Sea-ice motion and deformation -- Retrieval of sea-ice motion -- High resolution ice motion from SAR -- Small-scale ice motion and deformation -- 4.5.3 Sea-ice thickness -- Radar altimetry -- Seasonal ice-thickness estimates from kinematics -- Ice surface temperature and ice thickness -- 4.6 Summary -- References -- Part II Modelling techniques and methods -- 5 Modelling land-ice surface mass balance -- 5.1 Introduction -- 5.2 The surface energy balance -- 5.2.1 Introduction -- 5.2.2 The incoming short-wave radiative flux -- 5.2.3 Surface albedo -- 5.2.4 The incoming long-wave radiative flux -- 5.2.5 The outgoing long-wave radiative flux -- 5.2.6 The fluxes of sensible and latent heat -- 5.2.7 The heat flux supplied by rain. , 5.2.8 Subsurface processes -- 5.3 The degree-day approach -- 5.4 The mass balance in ablation models -- 5.5 Introduction to modelling the mass balance at the scale of glaciers -- 5.6 Ablation models -- 5.6.1 Grids and forcing -- 5.6.2 Validation -- 5.7 Atmospheric models -- 5.7.1 Introduction -- 5.7.2 Global and regional atmospheric circulation models -- 5.7.3 Atmospheric and surface physics in the models -- 5.7.4 Scales, resolution and computing cost -- 5.7.5 Model performances and biasses -- 5.7.6 Meteorological analyses and short-term forecasts -- 5.8 Regression models -- 5.9 Comparison of the different types of models -- 5.10 List of symbols -- References -- 6 Modelling land-ice dynamics -- 6.1 Introduction -- 6.2 Glacier dynamics -- 6.2.1 Force balance -- Driving stress -- Resistive stresses -- Force balance in the horizontal direction -- Force balance in the vertical direction -- 6.2.2 Flow law -- 6.2.3 Velocities and strain rates -- 6.2.4 Thermodynamics -- 6.2.5 Continuity -- 6.2.6 Basal sliding and bed deformation -- 6.3 Hierarchy of models -- 6.3.1 Introduction -- 6.3.2 Lamellar flow -- 6.3.3 Including lateral drag -- 6.3.4 Ice-shelf spreading -- 6.3.5 Ice shelf/ice sheet interaction -- 6.4 Evaluating terrestrial ice-mass models -- 6.4.1 Terminology -- 6.4.2 Types of ice-mass models -- Prognostic models -- Diagnostic models -- 6.4.3 Model validation -- The EISMINT inter-comparison -- EISMINT levels one and two -- EISMINT level three -- Conclusions -- 6.4.4 Model calibration and confirmation -- Confirming models of ice velocity -- Confirming models of ice-mass temperature -- The use of RES data to confirm models of glacier flow -- 6.5 List of symbols -- References -- 7 Modelling the dynamic response of sea ice -- 7.1 Introduction -- 7.2 Selected observational sea-ice motion: mechanical and physical characteristics. , 7.2.1 Sea-ice drift, deformation and pressure ridges -- 7.2.2 Ice stress and physical properties -- 7.3 Modelling sea-ice drift and deformation -- 7.3.1 Equations of motion -- 7.3.2 Deformation scaling of momentum equations -- 7.4 Sea-ice mechanics -- 7.4.1 Aggregate isotropic sea-ice constitutive laws -- 7.4.2 Coulombic and fracture-based isotropic models -- 7.4.3 Effect of plastic ice interaction on modelled ice drift -- A mechanistic one-dimensional plastic system -- Comparison of large-scale simulated plastic drift and deformation characteristics -- Improvement of simulations by including 'inertial imbedding' -- The effect of rheology on outflow -- 7.5 Sea-ice thermodynamics -- 7.5.1 Idealized growth: the Stefan problem -- 7.5.2 Empirical analytic sea-ice growth models for seasonal ice -- 7.5.3 Full heat budget thermodynamic models -- 7.5.4 Effects of internal brine pockets and variable conductivity -- 7.6 Ice-thickness distribution theory: dynamic thermodynamic coupling -- 7.6.1 Evolution equations for the ice-thickness distribution -- 7.6.2 Consistency of isotropic plastic models with ridge building -- 7.6.3 Characteristics of thickness distribution models coupled to specified deformation -- 7.6.4 Two-level ice-thickness distribution -- 7.6.5 Relative characteristics of two-level and multi-level models in numerical simulations -- 7.6.6 Thickness strength coupling: kinematic waves and inertial variability -- Kinematic waves in sea ice -- Inertial variability in sea-ice deformation -- Ice arching with growth and advection -- 7.6.7 Ice-tide interaction and stationary shore fast ice -- 7.7 A selected hierarchy of dynamic thermodynamic simulations of the evolution of sea ice -- 7.7.1 Selected characteristics of ice-ocean circulation models -- 7.7.2 Multiple equilibrium states of mechanistic dynamic thermodynamic sea-ice models. , 7.7.3 Arctic Basin variable thickness simulations -- Ridged ice and sensitivity to mechanical parameters -- The relative role of dynamics and thermodynamics in historical variability -- 7.7.4 The response of sea ice to climate change: the effect of ice dynamics -- 7.8 Concluding remarks -- References -- Part III The mass balance of sea ice -- 8 Sea-ice observations -- 8.1 Introduction -- 8.2 Sea-ice observations -- 8.3 Sea-ice observations: the pre-satellite era -- 8.4 Sea-ice cover: the post-satellite era -- 8.5 Mean ice thickness and its variability -- 8.6 Current evidence for change -- 8.7 Consequences of change -- 8.8 Future prospects -- References -- 9 Sea-ice modelling -- 9.1 Brief overview of sea-ice models -- 9.1.1 Momentum equation -- 9.1.2 Thermodynamics -- 9.1.3 Conservation equations -- 9.2 Mean thickness -- 9.2.1 Spatial and temporal variability -- 9.2.2 Ice export -- 9.2.3 Sensitivity to model parameterizations -- 9.3 Modelling future changes in sea-ice mass balance -- 9.4 Summary and conclusions -- References -- Part IV The mass balance of the ice sheets -- 10 Greenland: recent mass balance observations -- 10.1 Introduction -- 10.1.1 The polar ice sheets -- 10.1.2 Greenland and sea-level change -- 10.1.3 Program for Arctic Regional Climate Assessment (PARCA) -- 10.2 Components of ice-sheet mass balance -- 10.2.1 Accumulation -- 10.2.2 Surface ablation -- 10.2.3 Ice discharge -- 10.3 PARCA measurements -- 10.3.1 Snow-accumulation rates -- Shallow ice coring -- Accumulation rates from satellite microwave data -- Accumulation rates from atmospheric analyses -- 10.3.2 Ice depth sounding and layer tracking -- 10.3.3 Ice velocities and glacier grounding lines from SAR interferometry -- 10.3.4 Ice-surface characteristics from satellite data -- Summer melt zones -- Surface temperature and albedo -- Snow facies. , 10.3.5 Automatic weather station (AWS) network and meteorological observations.
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Polar research 14 (1995), S. 0 
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: The ice masses on Edgeøya and Barentsøya are the least well known in Svalbard. The islands are 42-47% ice covered with the largest ice cap, Edgeøyjøkulen, 1365 km2 in area. The tidewater ice cliffs of eastern Edgeøya are over 80 km long and produce small tabular icebergs. Several of the ice-cap outlet glaciers on Edgeøya and Barentsøya are known to surge, and different drainage basins within the ice caps behave as dynamically separate units. Terminus advances during surging have punctuated more general retreat from Little Ice Age moraines, probably linked to Twentieth Ceutury climate warming and mass balance change. Airborne radio-echo sounding at 60 MHz along 340 km of flight track over the ice masses of Edgeøya and Barentsøya has provided ice thickness and elevation data. Ice is grounded below sea level to about 20 km inland from the tidewater terminus of Stonebreen. Ice thickens from 〈100 m close to the margins, to about 250 m in the interior of Edgeøyjøkulen. The maximum ice thickness measured on Barentsjøkulen was 270 m. Landsat MSS images of the two islands, calibrated to in-band reflectance values, allow synoptic examination of snowline position in late July/early August. Snow and bare glacier ice were identified, and images were digitally stretched and enhanced. The snowline was at about 300 m on the east side of Edgeøyjøkulen, and 50-100 m higher to the west. Snowlines were at approximately 450 m on Digerfonna and Storskalven. On Barentsjøkulen the snowline was 350 m above sea level on the eastern flank and over 400 m on the west. This asymmetry suggests greater precipitation on the east side of the ice caps. Enhanced Landsat imagery was also used to identify suspended sediments in the waters offshore of the islands. Where this turbid meltwater emerges from tidewater glacier termini, it is likely to be derived from the subglacial drainage system. This suggests that at least parts of the beds of the ice masses on Edgeøya and Barentsøya are at the pressure melting point, and that a basal hydrological system is present.
    Type of Medium: Electronic Resource
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Depoorter, Mathieu A; Bamber, Jonathan L; Griggs, Jennifer; Lenaerts, Jan T M; Ligtenberg, Stefan R M; van den Broeke, Michiel R; Moholdt, Geir (2013): Calving fluxes and basal melt rates of Antarctic ice shelves. Nature, 502, 89-92, https://doi.org/10.1038/nature12567
    Publication Date: 2023-01-13
    Description: Iceberg calving has been assumed to be the dominant cause of mass loss for the Antarctic ice sheet, with previous estimates of the calving flux exceeding 2,000 gigatonnes per year. More recently, the importance of melting by the ocean has been demonstrated close to the grounding line and near the calving front. So far, however, no study has reliably quantified the calving flux and the basal mass balance (the balance between accretion and ablation at the ice-sheet base) for the whole of Antarctica. The distribution of fresh water in the Southern Ocean and its partitioning between the liquid and solid phases is therefore poorly constrained. Here we estimate the mass balance components for all ice shelves in Antarctica, using satellite measurements of calving flux and grounding-line flux, modelled ice-shelf snow accumulation rates and a regional scaling that accounts for unsurveyed areas. We obtain a total calving flux of 1,321 ± 144 gigatonnes per year and a total basal mass balance of -1,454 ± 174 gigatonnes per year. This means that about half of the ice-sheet surface mass gain is lost through oceanic erosion before reaching the ice front, and the calving flux is about 34 per cent less than previous estimates derived from iceberg tracking. In addition, the fraction of mass loss due to basal processes varies from about 10 to 90 per cent between ice shelves. We find a significant positive correlation between basal mass loss and surface elevation change for ice shelves experiencing surface lowering and enhanced discharge. We suggest that basal mass loss is a valuable metric for predicting future ice-shelf vulnerability to oceanic forcing.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Jordan, Thomas M; Williams, Christopher N; Schroeder, Dustin M; Martos, Yasmina M; Cooper, Michael A; Siegert, Martin J; Paden, John D; Huybrechts, Philippe; Bamber, Jonathan L (2018): A constraint upon the basal water distribution and thermal state of the Greenland Ice Sheet from radar bed echoes. The Cryosphere, 12(9), 2831-2854, https://doi.org/10.5194/tc-12-2831-2018
    Publication Date: 2023-01-13
    Description: There is widespread, but often indirect, evidence that a significant fraction of the bed beneath the Greenland Ice Sheet is thawed (at or above the pressure melting point for ice). This includes the beds of major outlet glaciers and their tributaries and a large area around the NorthGRIP borehole in the ice-sheet interior. The ice-sheet scale distribution of basal water is, however, poorly constrained by existing observations. In principle, airborne radio-echo sounding (RES) enables the detection of basal water from bed-echo reflectivity, but unambiguous mapping is limited by uncertainty in signal attenuation within the ice. Here we introduce a new, RES diagnostic for basal water that is associated with wet-dry transitions in bed material: bed-echo reflectivity variability. This technique acts as a form of edge detector and is a sufficient, but not necessary, criteria for basal water. However, the technique has the advantage of being attenuation-insensitive and suited to data combination enabling combined analysis of over a decade of Operation IceBridge survey data. The basal water predictions are compared with existing analyses of the basal thermal state (frozen and thawed beds) and geothermal heat flux. In addition to the outlet glaciers, we demonstrate widespread water storage in the northern and eastern interior. Notably, we observe a quasi-linear 'corridor' of basal water extending from NorthGRIP to Petermann glacier that spatially correlates with elevated heat flux predicted by a recent magnetic model. Finally, with a general aim to stimulate regional- and process-specific investigations, the basal water predictions are compared with bed topography, subglacial flow paths, and ice-sheet motion. The basal water distribution, and its relationship with the thermal state, provides a new constraint for numerical models.
    Keywords: DATE/TIME; File content; File format; File name; File size; Greenland; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Bamber, Jonathan L; Westaway, Richard M; Marzeion, Ben; Wouters, Bert (2018): The land ice contribution to sea level during the satellite era. Environmental Research Letters, 13(6), 063008, https://doi.org/10.1088/1748-9326/aac2f0
    Publication Date: 2023-01-13
    Description: We have assessed and synthesised land ice mass trend results published, primarily, since the IPCC AR5 (2013) to produce a consistent estimate of land ice mass trends during the satellite era (1992 to 2016). Our resulting synthesis is both consistent and rigorous, drawing on i) the published literature, ii) expert assessment of that literature, and iii) a new analysis of Arctic glacier and ice cap trends combined with statistical modelling. In the associated paper (Bamber et al 2018) we present annual and pentad (five-year mean) time series for the East, West Antarctic and Greenland Ice Sheets and glaciers separately and combined. When averaged over pentads, covering the entire period considered, we obtain a monotonic trend in mass contribution to the oceans, increasing from 0.31±0.35 mm of sea level equivalent for 1992-1996 to 1.85±0.13 for 2012-2016. Our integrated land ice trend is lower than many estimates of GRACE-derived ocean mass change for the same periods. This is due, in part, to a smaller estimate for glacier and ice cap mass trends compared to previous assessments. We discuss this, and other likely reasons, for the difference between GRACE ocean mass and land ice trends.
    Keywords: DATE/TIME; Mass balance; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 250 data points
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  • 6
    Publication Date: 2023-01-13
    Keywords: pan-Antarctica
    Type: Dataset
    Format: application/zip, 15.8 MBytes
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  • 7
    Publication Date: 2023-01-13
    Keywords: pan-Antarctica
    Type: Dataset
    Format: application/zip, 5.8 MBytes
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  • 8
    Publication Date: 2023-02-12
    Keywords: LATITUDE; Line; LONGITUDE; pan-Antarctica
    Type: Dataset
    Format: text/tab-separated-values, 103038 data points
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  • 9
    Publication Date: 2023-05-12
    Keywords: Area; Glacier accumulation; Glacier discharge; Mass balance; pan-Antarctica; Sector; Standard deviation; Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
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  • 10
    Publication Date: 2023-05-12
    Keywords: Glacier discharge; Mass balance; pan-Antarctica; Sector; Standard deviation; Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
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