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  • 1
    Call number: AWI G7-19-92930
    In: Glacier mass balance bulletin, No. 7
    Type of Medium: Series available for loan
    Pages: 87 Seiten , Illustrationen
    Series Statement: Glacier mass balance bulletin 7
    Language: English
    Note: CONTENTS 1. INTRODUCTION 2. SUMMARY DATA 2.1 SUMMARY TABLE (NET BALANCE, ELA, ELA0, AAR, AAR0) 2.2 CUMULATIVE SPECIFIC NET BALANCE GRAPHS 3. EXTENSIVE INFORMATION 3.1 WHITE (CANADA) 3.1.1 Topography and observational network 3.1.2 Net balance maps 1999/2000 and 2000/2001 3.1.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.1.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.2 PEYTO (CANADA) 3.2.1 Topography and observational network 3.2.2 Net balance maps 1999/2000 and 2000/2001 3.2.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.2.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.3 ZONGO (BOLIVIA) 3.3.1 Topography and observational network 3.3.2 Net balance maps 1999/2000 and 2000/2001 3.3.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.3.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.4 WALDEMARBREEN (NORWAY/SVALBARD) 3.4.1 Topography and observational network 3.4.2 Net balance maps 1999/2000 and 2000/2001 3.4.3 Net balance altitude (1999/2000 and 2000/2001) 3.4.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.5 NIGARDSBREEN (NORWAY) 3.5.1 Topography and observational network 3.5.2 Net balance maps 1999/2000 and 2000/2001 3.5.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.5.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.6 STORGLACIÄREN (SWEDEN) 3.6.1 Topography and observational network 3.6.2 Net balance maps 1999/2000 and 2000/2001 3.6.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.6.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.7 VERNAGTFERNER (AUSTRIA) 3.7.1 Topography and observational network 3.7.2 Net balance maps 1999/2000 and 2000/2001 3.7.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.7.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.8 DJANKUAT (RUSSIA) 57 3.8.1 Topography and observational network 3.8.2 Net balance map 2000/2001 3.8.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.8.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.9 TSENTRALNIY TUYUKSUYSKIY (KAZAKHSTAN) 3.9.1 Topography and observational network 3.9.2 Net balance maps 1999/2000 and 2000/2001 3.9.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.9.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.10 MALIYAKTRU (RUSSIA) 3.10.1 Topography and observational network 3.10.2 Net balance maps 1999/2000 and 2000/2001 3.10.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.10.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.11 URUMQIHE S. NO. 1 (CHINA) 3.11.1 Topography and observational network 3.11.2 Net balance maps 1999/2000 and 2000/2001 3.11.3 Net balance versus altitude (1999/2000 and 2000/2001) 3.11.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 4. FINAL REMARKS AND ACKNOWLEDGEMENTS 5. PRINCIPAL INVESTIGATORS AND NATIONAL CORRESPONDENTS 5.1 PRINCIPAL INVESTIGATORS 5.2 NATIONAL CORRESPONDENTS OF WGMS
    Location: AWI Reading room
    Branch Library: AWI Library
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  • 2
    Call number: AWI G7-19-92931
    In: Glacier mass balance bulletin, No. 8
    Type of Medium: Series available for loan
    Pages: 100 Seiten , Illustrationen
    Series Statement: Glacier mass balance bulletin 8
    Language: English
    Note: CONTENTS 1 INTRODUCTION 2 BASIC INFORMATION 2.1 SUMMARY TABLE (NET BALANCE, ELA, ELA0, AAR, AAR0) 2.2 CUMULATIVE SPECIFIC NET BALANCE GRAPHS 3 DETAILED INFORMATION 3.1 GLACIAR BAHIA DEL DIABLO (ANTARCTICA) 3.1.1 Topography and observational network 3.1.2 Net balance maps 2001/02 and 2002/03 3.1.3 Net balance versus altitude (2001/02 and 2002/03) 3.1.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.2 MARTIAL ESTE (ARGENTINA) 3.2.1 Topography and observational network 3.2.2 Net balance maps 2001/02 and 2002/03 3.2.3 Net balance versus altitude (2001/02 and 2002/03) 3.2.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.3 VERNAGTFERNER (AUSTRIA) 3.3.1 Topography and observational network 3.3.2 Net balance maps (2001/02 and 2002/03) 3.3.3 Net balance versus altitude (2001/02 and 2002/03) 3.3.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.4 ZONGO (BOLIVIA) 3.4.1 Topography and observational network 3.4.2 Net balance maps (2001/02 and 2002/03) 3.4.3 Net balance versus altitude (2001/02 and 2002/03) 3.4.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.5 WHITE (CANADA) 3.5.1 Topography and observational network 3.5.2 Net balance maps (2001/02 and 2002/03) 3.5.3 Net balance versus altitude (2001/02 and 2002/03) 3.5.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.6 URUMQIHE S. NO. 1 (CHINA) 3.6.1 Topography and observational network 3.6.2 Net balance maps (2001/02 and 2002/03) 3.6.3 Net balance versus altitude (2001/02 and 2002/03) 3.6.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.7 FONTANA BIANCA (ITALY) 3.7.1 Topography and observational network 3.7.2 Net balance maps (2001/02 and 2002/03) 3.7.3 Net balance versus altitude (2001/02 and 2002/03) 3.7.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.8 TSENTRALNIY TUYUKSUYSKIY (KAZAKHSTAN) 3.8.1 Topography and observational network 3.8.2 Net balance map (2001/02 and 2002/03) 3.8.3 Net balance versus altitude (2001/02 and 2002/03) 3.8.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.9 NIGARDSBREEN (NORWAY) 3.9.1 Topography and observational network 3.9.2 Net balance maps (2001/02 and 2002/03) 3.9.3 Net balance versus altitude (2001/02 and 2002/03) 3.9.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.10 WALDEMARBREEN (NORWAY) 3.10.1 Topography and observational network 3.10.2 Net balance maps (2001/02 and 2002/03) 3.10.3 Net balance versus altitude (2001/02 and 2002/03) 3.10.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.11 DJANKUAT (RUSSIA) 3.11.1 Topography and observational network 3.11.2 Net balance maps (2001/02 and 2002/03) 3.11.3 Net balance versus altitude (2001/02 and 2002/03) 3.11.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.12 MALIY AKTRU (RUSSIA) 3.12.1 Topography and observational network 3.12.2 Net balance maps (2001/02 and 2002/03) 3.12.3 Net balance versus altitude (2001/02 and 2002/03) 3.12.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 3.13 STORGLACIÄREN (SWEDEN) 3.13.1 Topography and observational network 3.13.2 Net balance maps (2001/02 and 2002/03) 3.13.3 Net balance versus altitude (2001/02 and 2002/03) 3.13.4 Accumulation area ratio (AAR) and equilibrium line altitude (ELA) versus specific net balance for the whole observation period 4 FINAL REMARKS AND ACKNOWLEDGEMENTS 5 PRINCIPAL INVESTIGATORS AND NATIONAL CORRESPONDENTS 5.1 PRINCIPAL INVESTIGATORS 5.2 NATIONAL CORRESPONDENTS OF WGMS
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  • 3
    Publication Date: 2017-10-12
    Description: At the Last Glacial Maximum (LGM), the Rhine glacier in the Swiss Alps covered an area of about 16,000 km2. As part of an integrative study about the safety of repositories for radioactive waste under ice age conditions in Switzerland, we modeled the Rhine glacier using a fully-coupled, three-dimensional, transient, thermo-mechanical Stokes flow model down to a horizontal resolution of about 500 m. The accumulation and ablation gradients that roughly reproduced the geomorphic reconstructions of glacial extent and ice thickness suggested extremely cold (TJuly ~ 0 °C at the glacier terminus) and dry (~ 10 to 20 % of today's precipitation) climatic conditions. Forcing the numerical simulations with warmer and wetter conditions that better matched LGM climate proxy records yielded a glacier on average 500 to 700 m thicker than geomorphic reconstructions. Mass balance gradients also controlled ice velocities, fluxes, and sliding speeds. These gradients, however, had only a small effect on basal conditions. All simulations indicated that basal ice reached the pressure melting point over much of the Rhine and Linth piedmont lobes, and also in the glacial valleys that fed these lobes. Only the outer margin of the lobes, bedrock highs beneath the lobes, and Alpine valleys at high elevations in the accumulation zone remained cold based. The Rhine glacier was thus polythermal. Sliding speed estimated with a linear sliding rule ranged from 20 to 100 m a−1 in the lobes, and 50 to 250 m a−1 in Alpine valleys. Velocity ratios (sliding to surface speeds) were 〉 80 % (lobes) and ~ 60 % (valleys). Basal shear stress was very low in the lobes (0.03–0.1 MPa), much higher in Alpine valleys (〉 0.2 MPa). In these valleys, viscous strain heating was a dominant source of heat, particularly when shear rates in the ice increased due to flow constrictions, confluences, or flow past large bedrock obstacles, contributing locally up to several W m−2 but on average 0.03 to 0.2 W m−2. Basal friction acted as a heat source at the bed of about 0.02 W m−2, 4 to 6 times less than the geothermal heat flow which is locally high (up to 0.12 W m−2). In the lobes, despite low surface slopes and low basal shear stresses, sliding dictated main fluxes of ice which closely followed bedrock topography: ice was channeled in between bedrock highs along troughs, some of which coincided with glacially eroded overdeepenings. These sliding conditions may have favored glacial erosion by abrasion and quarrying. Our results confirmed general earlier findings but provided more insights into the detailed flow and basal conditions of the Rhine glacier at the LGM. Our model results suggested that the trimline could have been buried by a significant thickness of cold ice. These findings have significant implications for interpreting trimlines in the Alps and for our understanding of ice-climate interactions.
    Print ISSN: 1994-0432
    Electronic ISSN: 1994-0440
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 4
    Publication Date: 2018-08-07
    Description: At the Last Glacial Maximum (LGM), the Rhine glacier in the Swiss Alps covered an area of about 16 000 km2. As part of an integrative study about the safety of repositories for radioactive waste under ice age conditions in Switzerland, we modeled the Rhine glacier using a thermodynamically coupled three-dimensional, transient Stokes flow and heat transport model down to a horizontal resolution of about 500 m. The accumulation and ablation gradients that roughly reproduced the geomorphic reconstructions of glacial extent and ice thickness suggested extremely cold (TJuly∼0∘C at the glacier terminus) and dry (∼10 % to 20 % of today's precipitation) climatic conditions. Forcing the numerical simulations with warmer and wetter conditions that better matched LGM climate proxy records yielded a glacier on average 500 to 700 m thicker than geomorphic reconstructions. Mass balance gradients also controlled ice velocities, fluxes, and sliding speeds. These gradients, however, had only a small effect on basal conditions. All simulations indicated that basal ice reached the pressure melting point over much of the Rhine and Linth piedmont lobes, and also in the glacial valleys that fed these lobes. Only the outer margin of the lobes, bedrock highs beneath the lobes, and Alpine valleys at high elevations in the accumulation zone remained cold based. The Rhine glacier was thus polythermal. Sliding speed estimated with a linear sliding rule ranged from 20 to 100 m a−1 in the lobes and 50 to 250 m a−1 in Alpine valleys. Velocity ratios (sliding to surface speeds) were 〉80 % in lobes and ∼60 % in valleys. Basal shear stress was very low in the lobes (0.03–0.1 MPa) and much higher in Alpine valleys (〉0.2 MPa). In these valleys, viscous strain heating was a dominant source of heat, particularly when shear rates in the ice increased due to flow constrictions, confluences, or flow past large bedrock obstacles, contributing locally up to several watts per square meter but on average 0.03 to 0.2 W m−2. Basal friction acted as a heat source at the bed of about 0.02 W m−2, 4 to 6 times less than the geothermal heat flow which is locally high (up to 0.12 W m−2). In the lobes, despite low surface slopes and low basal shear stresses, sliding dictated main fluxes of ice, which closely followed bedrock topography: ice was channeled in between bedrock highs along troughs, some of which coincided with glacially eroded overdeepenings. These sliding conditions may have favored glacial erosion by abrasion and quarrying. Our results confirmed general earlier findings but provided more insights into the detailed flow and basal conditions of the Rhine glacier at the LGM. Our model results suggested that the trimline could have been buried by a significant thickness of cold ice. These findings have significant implications for interpreting trimlines in the Alps and for our understanding of ice–climate interactions.
    Print ISSN: 1994-0416
    Electronic ISSN: 1994-0424
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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