Modeling the Greenland Ice Sheet response to climate change in the past and future : kumulative Dissertation
The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate,...
Ausführliche Beschreibung
Autor*in: |
Robinson, Alexander - 1982- [verfasserIn] |
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Hochschulschrift: |
Potsdam, Univ., Diss, 2011 |
Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
2011 |
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Formangabe: |
Hochschulschrift |
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Umfang: |
Online-Ressource (112 S., 13,58 MB) |
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Weitere Ausgabe: |
Erscheint auch als Druck-Ausgabe Robinson, Alexander, 1982 -: Modeling the Greenland Ice Sheet response to climate change in the past and future - Potsdam, 2011 |
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Links: |
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DOI / URN: |
urn:nbn:de:kobv:517-opus-50430 |
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Katalog-ID: |
656869801 |
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11,O08 dnb 1013214315 DE-101 urn:nbn:de:kobv:517-opus-50430 urn (DE-627)656869801 (DE-599)GBV656869801 (OCoLC)837786485 DE-627 ger DE-627 rakwb eng XA-DE-BB 551.31009982 22/ger 550 OCLC 550 DNB 16,13 14 ssgn 74.28 bkl Robinson, Alexander 1982- verfasserin (DE-588)1012219313 (DE-627)704842149 (DE-576)345127102 aut Modeling the Greenland Ice Sheet response to climate change in the past and future kumulative Dissertation vorgelegt von Alexander Robinson 2011 Online-Ressource (112 S., 13,58 MB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss, 2011 The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Potsdam uvp Erscheint auch als Druck-Ausgabe Robinson, Alexander, 1982 - Modeling the Greenland Ice Sheet response to climate change in the past and future Potsdam, 2011 xii, 100 S. 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11,O08 dnb 1013214315 DE-101 urn:nbn:de:kobv:517-opus-50430 urn (DE-627)656869801 (DE-599)GBV656869801 (OCoLC)837786485 DE-627 ger DE-627 rakwb eng XA-DE-BB 551.31009982 22/ger 550 OCLC 550 DNB 16,13 14 ssgn 74.28 bkl Robinson, Alexander 1982- verfasserin (DE-588)1012219313 (DE-627)704842149 (DE-576)345127102 aut Modeling the Greenland Ice Sheet response to climate change in the past and future kumulative Dissertation vorgelegt von Alexander Robinson 2011 Online-Ressource (112 S., 13,58 MB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss, 2011 The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Potsdam uvp Erscheint auch als Druck-Ausgabe Robinson, Alexander, 1982 - Modeling the Greenland Ice Sheet response to climate change in the past and future Potsdam, 2011 xii, 100 S. (DE-627)656935642 http://opus.kobv.de/ubp/volltexte/2011/5043/pdf/robinson_diss.pdf Verlag Volltext Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 Resolving-System Volltext http://d-nb.info/1013214315/34 Langzeitarchivierung Nationalbibliothek Volltext http://opus.kobv.de/ubp/volltexte/2011/5043 application/pdf Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 74.28 Polargebiete Geographie (DE-627)106421735 BO 045F 551.31009982 045F 550 20 01 0084 1265849587 x 22-08-11 21 01 0046 1265858810 z 22-08-11 22 01 0018 126586800X SUBolrd xu 22-08-11 23 01 0830 1265877890 olr-d x 22-08-11 30 01 0104 1265884137 z 22-08-11 40 01 0007 1265890102 ksn 07-02-12 60 01 0705 1265899592 OLRD z 22-08-11 63 01 3401 1595723773 ORD x 21-01-16 70 01 0089 1265916799 zdo 22-08-11 105 01 0841 1596536942 z 21-01-16 110 01 3110 1265909598 x 22-08-11 132 01 0959 1498038433 OLR-DISS x 12-08-14 151 01 0546 3594139913 OLR-ODISS z 13-02-20 161 01 0960 1597499943 ORD x 28-01-16 285 01 0517 1239639627 00 9300 --%%-- s --%%-- z 28-04-11 293 01 3293 1597952540 ORD xf 28-01-16 370 01 4370 1265914273 x 22-08-11 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 40 01 0007 http://webdoc.sub.gwdg.de/ebook/dissts/Potsdam/Robinson2011.pdf LF 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 110 01 3110 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 161 01 0960 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 293 01 3293 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 40 00 DE-7 00 (DE-627)623608847 TWC 300 Rezente Klimaschwankungen 40 00 DE-7 01 (DE-627)625047028 VAQ 919 Arktis {Glaziologie} 40 00 DE-7 02 (DE-627)625046889 VAQ 500 Gletscherbewegung und Gletscherschwankungen 40 00 DE-7 03 (DE-627)621276413 QGZ 220 Physische Geographie der Arktis 60 01 0705 10 ho 285 00 DE-517 00 TI 4100 285 00 DE-517 00 TI 6600 285 00 DE-517 00 TP 9550 285 00 DE-517 00 TP 09550 285 00 DE-517 00 TF 04999 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2011-08-22:09:02:23 40 01 0007 2011-12 9 v g |
allfields_unstemmed |
11,O08 dnb 1013214315 DE-101 urn:nbn:de:kobv:517-opus-50430 urn (DE-627)656869801 (DE-599)GBV656869801 (OCoLC)837786485 DE-627 ger DE-627 rakwb eng XA-DE-BB 551.31009982 22/ger 550 OCLC 550 DNB 16,13 14 ssgn 74.28 bkl Robinson, Alexander 1982- verfasserin (DE-588)1012219313 (DE-627)704842149 (DE-576)345127102 aut Modeling the Greenland Ice Sheet response to climate change in the past and future kumulative Dissertation vorgelegt von Alexander Robinson 2011 Online-Ressource (112 S., 13,58 MB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss, 2011 The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Potsdam uvp Erscheint auch als Druck-Ausgabe Robinson, Alexander, 1982 - Modeling the Greenland Ice Sheet response to climate change in the past and future Potsdam, 2011 xii, 100 S. (DE-627)656935642 http://opus.kobv.de/ubp/volltexte/2011/5043/pdf/robinson_diss.pdf Verlag Volltext Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 Resolving-System Volltext http://d-nb.info/1013214315/34 Langzeitarchivierung Nationalbibliothek Volltext http://opus.kobv.de/ubp/volltexte/2011/5043 application/pdf Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 74.28 Polargebiete Geographie (DE-627)106421735 BO 045F 551.31009982 045F 550 20 01 0084 1265849587 x 22-08-11 21 01 0046 1265858810 z 22-08-11 22 01 0018 126586800X SUBolrd xu 22-08-11 23 01 0830 1265877890 olr-d x 22-08-11 30 01 0104 1265884137 z 22-08-11 40 01 0007 1265890102 ksn 07-02-12 60 01 0705 1265899592 OLRD z 22-08-11 63 01 3401 1595723773 ORD x 21-01-16 70 01 0089 1265916799 zdo 22-08-11 105 01 0841 1596536942 z 21-01-16 110 01 3110 1265909598 x 22-08-11 132 01 0959 1498038433 OLR-DISS x 12-08-14 151 01 0546 3594139913 OLR-ODISS z 13-02-20 161 01 0960 1597499943 ORD x 28-01-16 285 01 0517 1239639627 00 9300 --%%-- s --%%-- z 28-04-11 293 01 3293 1597952540 ORD xf 28-01-16 370 01 4370 1265914273 x 22-08-11 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 40 01 0007 http://webdoc.sub.gwdg.de/ebook/dissts/Potsdam/Robinson2011.pdf LF 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 110 01 3110 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 161 01 0960 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 293 01 3293 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 40 00 DE-7 00 (DE-627)623608847 TWC 300 Rezente Klimaschwankungen 40 00 DE-7 01 (DE-627)625047028 VAQ 919 Arktis {Glaziologie} 40 00 DE-7 02 (DE-627)625046889 VAQ 500 Gletscherbewegung und Gletscherschwankungen 40 00 DE-7 03 (DE-627)621276413 QGZ 220 Physische Geographie der Arktis 60 01 0705 10 ho 285 00 DE-517 00 TI 4100 285 00 DE-517 00 TI 6600 285 00 DE-517 00 TP 9550 285 00 DE-517 00 TP 09550 285 00 DE-517 00 TF 04999 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2011-08-22:09:02:23 40 01 0007 2011-12 9 v g |
allfieldsGer |
11,O08 dnb 1013214315 DE-101 urn:nbn:de:kobv:517-opus-50430 urn (DE-627)656869801 (DE-599)GBV656869801 (OCoLC)837786485 DE-627 ger DE-627 rakwb eng XA-DE-BB 551.31009982 22/ger 550 OCLC 550 DNB 16,13 14 ssgn 74.28 bkl Robinson, Alexander 1982- verfasserin (DE-588)1012219313 (DE-627)704842149 (DE-576)345127102 aut Modeling the Greenland Ice Sheet response to climate change in the past and future kumulative Dissertation vorgelegt von Alexander Robinson 2011 Online-Ressource (112 S., 13,58 MB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss, 2011 The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Potsdam uvp Erscheint auch als Druck-Ausgabe Robinson, Alexander, 1982 - Modeling the Greenland Ice Sheet response to climate change in the past and future Potsdam, 2011 xii, 100 S. (DE-627)656935642 http://opus.kobv.de/ubp/volltexte/2011/5043/pdf/robinson_diss.pdf Verlag Volltext Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 Resolving-System Volltext http://d-nb.info/1013214315/34 Langzeitarchivierung Nationalbibliothek Volltext http://opus.kobv.de/ubp/volltexte/2011/5043 application/pdf Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 74.28 Polargebiete Geographie (DE-627)106421735 BO 045F 551.31009982 045F 550 20 01 0084 1265849587 x 22-08-11 21 01 0046 1265858810 z 22-08-11 22 01 0018 126586800X SUBolrd xu 22-08-11 23 01 0830 1265877890 olr-d x 22-08-11 30 01 0104 1265884137 z 22-08-11 40 01 0007 1265890102 ksn 07-02-12 60 01 0705 1265899592 OLRD z 22-08-11 63 01 3401 1595723773 ORD x 21-01-16 70 01 0089 1265916799 zdo 22-08-11 105 01 0841 1596536942 z 21-01-16 110 01 3110 1265909598 x 22-08-11 132 01 0959 1498038433 OLR-DISS x 12-08-14 151 01 0546 3594139913 OLR-ODISS z 13-02-20 161 01 0960 1597499943 ORD x 28-01-16 285 01 0517 1239639627 00 9300 --%%-- s --%%-- z 28-04-11 293 01 3293 1597952540 ORD xf 28-01-16 370 01 4370 1265914273 x 22-08-11 20 01 0084 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 21 01 0046 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 22 01 0018 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 23 01 0830 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 30 01 0104 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 40 01 0007 http://webdoc.sub.gwdg.de/ebook/dissts/Potsdam/Robinson2011.pdf LF 60 01 0705 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 105 01 0841 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 110 01 3110 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 132 01 0959 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 161 01 0960 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 285 01 0517 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 293 01 3293 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 370 01 4370 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50430 40 00 DE-7 00 (DE-627)623608847 TWC 300 Rezente Klimaschwankungen 40 00 DE-7 01 (DE-627)625047028 VAQ 919 Arktis {Glaziologie} 40 00 DE-7 02 (DE-627)625046889 VAQ 500 Gletscherbewegung und Gletscherschwankungen 40 00 DE-7 03 (DE-627)621276413 QGZ 220 Physische Geographie der Arktis 60 01 0705 10 ho 285 00 DE-517 00 TI 4100 285 00 DE-517 00 TI 6600 285 00 DE-517 00 TP 9550 285 00 DE-517 00 TP 09550 285 00 DE-517 00 TF 04999 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2011-08-22:09:02:23 40 01 0007 2011-12 9 v g |
allfieldsSound |
11,O08 dnb 1013214315 DE-101 urn:nbn:de:kobv:517-opus-50430 urn (DE-627)656869801 (DE-599)GBV656869801 (OCoLC)837786485 DE-627 ger DE-627 rakwb eng XA-DE-BB 551.31009982 22/ger 550 OCLC 550 DNB 16,13 14 ssgn 74.28 bkl Robinson, Alexander 1982- verfasserin (DE-588)1012219313 (DE-627)704842149 (DE-576)345127102 aut Modeling the Greenland Ice Sheet response to climate change in the past and future kumulative Dissertation vorgelegt von Alexander Robinson 2011 Online-Ressource (112 S., 13,58 MB) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Potsdam, Univ., Diss, 2011 The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... Langzeitarchivierung gewährleistet pdager Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Potsdam uvp Erscheint auch als Druck-Ausgabe Robinson, Alexander, 1982 - Modeling the Greenland Ice Sheet response to climate change in the past and future Potsdam, 2011 xii, 100 S. 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Modeling the Greenland Ice Sheet response to climate change in the past and future kumulative Dissertation |
abstract |
The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... |
abstractGer |
The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... |
abstract_unstemmed |
The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. The ensemble of model versions has been constrained to those that are consistent with the data, and a range of valid parameter values has been defined, allowing quantification of the uncertainty and sensitivity of the modeling approach ... |
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Modeling the Greenland Ice Sheet response to climate change in the past and future |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000cam a2200265 4500</leader><controlfield tag="001">656869801</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240824111143.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">110421s2011 gw |||||om 00| ||eng c</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">11,O08</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1013214315</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:kobv:517-opus-50430</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)656869801</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV656869801</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)837786485</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XA-DE-BB</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">551.31009982</subfield><subfield code="2">22/ger</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">550</subfield><subfield code="q">OCLC</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">16,13</subfield><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">74.28</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Robinson, Alexander</subfield><subfield code="d">1982-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1012219313</subfield><subfield code="0">(DE-627)704842149</subfield><subfield code="0">(DE-576)345127102</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modeling the Greenland Ice Sheet response to climate change in the past and future</subfield><subfield code="b">kumulative Dissertation</subfield><subfield code="c">vorgelegt von Alexander Robinson</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (112 S., 13,58 MB)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="a">Potsdam, Univ., Diss, 2011</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The Greenland Ice Sheet (GIS) contains enough water volume to raise global sea level by over 7 meters. It is a relic of past glacial climates that could be strongly affected by a warming world. Several studies have been performed to investigate the sensitivity of the ice sheet to changes in climate, but large uncertainties in its long-term response still exist. In this thesis, a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback processes between the climate and the ice sheet and (iii) that it is highly computationally efficient, allowing simulations over very long timescales. The new regional energy-moisture balance model (REMBO) has been developed to model the climate and surface mass balance over Greenland and it represents an improvement compared to conventional approaches in modeling present-day conditions. Furthermore, the evolution of the GIS has been simulated over the last glacial cycle using an ensemble of model versions. The model performance has been validated against field observations of the present-day climate and surface mass balance, as well as paleo information from ice cores. The GIS contribution to sea level rise during the last interglacial is estimated to be between 0.5-4.1 m, consistent with previous estimates. 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