How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment
Knowledge of the ice thickness distribution of glaciers and ice caps is an important prerequisite for many glaciological and hydrological investigations. A wealth of approaches has recently been presented for inferring ice thickness from characteristics of the surface. With the Ice Thickness Models...
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2017
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00010345 2023-05-15T18:32:32+02:00 How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment Farinotti, Daniel Brinkerhoff, Douglas J. Clarke, Garry K. C. Fürst, Johannes J. Frey, Holger Gantayat, Prateek Gillet-Chaulet, Fabien Girard, Claire Huss, Matthias Leclercq, Paul W. Linsbauer, Andreas Machguth, Horst Martin, Carlos Maussion, Fabien Morlighem, Mathieu Mosbeux, Cyrille Pandit, Ankur Portmann, Andrea Rabatel, Antoine Ramsankaran, RAAJ Reerink, Thomas J. Sanchez, Olivier Stentoft, Peter A. Singh Kumari, Sangita van Pelt, Ward J. J. Anderson, Brian Benham, Toby Binder, Daniel Dowdeswell, Julian A. Fischer, Andrea Helfricht, Kay Kutuzov, Stanislav Lavrentiev, Ivan McNabb, Robert Gudmundsson, G. Hilmar Li, Huilin Andreassen, Liss M. 2017-04 electronic https://doi.org/10.5194/tc-11-949-2017 https://noa.gwlb.de/receive/cop_mods_00010345 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00010302/tc-11-949-2017.pdf https://tc.copernicus.org/articles/11/949/2017/tc-11-949-2017.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-11-949-2017 https://noa.gwlb.de/receive/cop_mods_00010345 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00010302/tc-11-949-2017.pdf https://tc.copernicus.org/articles/11/949/2017/tc-11-949-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/tc-11-949-2017 2022-02-08T22:57:06Z Knowledge of the ice thickness distribution of glaciers and ice caps is an important prerequisite for many glaciological and hydrological investigations. A wealth of approaches has recently been presented for inferring ice thickness from characteristics of the surface. With the Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed the first coordinated assessment quantifying individual model performance. A set of 17 different models showed that individual ice thickness estimates can differ considerably – locally by a spread comparable to the observed thickness. Averaging the results of multiple models, however, significantly improved the results: on average over the 21 considered test cases, comparison against direct ice thickness measurements revealed deviations on the order of 10 ± 24 % of the mean ice thickness (1σ estimate). Models relying on multiple data sets – such as surface ice velocity fields, surface mass balance, or rates of ice thickness change – showed high sensitivity to input data quality. Together with the requirement of being able to handle large regions in an automated fashion, the capacity of better accounting for uncertainties in the input data will be a key for an improved next generation of ice thickness estimation approaches. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 11 2 949 970 |
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article Verlagsveröffentlichung Farinotti, Daniel Brinkerhoff, Douglas J. Clarke, Garry K. C. Fürst, Johannes J. Frey, Holger Gantayat, Prateek Gillet-Chaulet, Fabien Girard, Claire Huss, Matthias Leclercq, Paul W. Linsbauer, Andreas Machguth, Horst Martin, Carlos Maussion, Fabien Morlighem, Mathieu Mosbeux, Cyrille Pandit, Ankur Portmann, Andrea Rabatel, Antoine Ramsankaran, RAAJ Reerink, Thomas J. Sanchez, Olivier Stentoft, Peter A. Singh Kumari, Sangita van Pelt, Ward J. J. Anderson, Brian Benham, Toby Binder, Daniel Dowdeswell, Julian A. Fischer, Andrea Helfricht, Kay Kutuzov, Stanislav Lavrentiev, Ivan McNabb, Robert Gudmundsson, G. Hilmar Li, Huilin Andreassen, Liss M. How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
topic_facet |
article Verlagsveröffentlichung |
description |
Knowledge of the ice thickness distribution of glaciers and ice caps is an important prerequisite for many glaciological and hydrological investigations. A wealth of approaches has recently been presented for inferring ice thickness from characteristics of the surface. With the Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed the first coordinated assessment quantifying individual model performance. A set of 17 different models showed that individual ice thickness estimates can differ considerably – locally by a spread comparable to the observed thickness. Averaging the results of multiple models, however, significantly improved the results: on average over the 21 considered test cases, comparison against direct ice thickness measurements revealed deviations on the order of 10 ± 24 % of the mean ice thickness (1σ estimate). Models relying on multiple data sets – such as surface ice velocity fields, surface mass balance, or rates of ice thickness change – showed high sensitivity to input data quality. Together with the requirement of being able to handle large regions in an automated fashion, the capacity of better accounting for uncertainties in the input data will be a key for an improved next generation of ice thickness estimation approaches. |
format |
Article in Journal/Newspaper |
author |
Farinotti, Daniel Brinkerhoff, Douglas J. Clarke, Garry K. C. Fürst, Johannes J. Frey, Holger Gantayat, Prateek Gillet-Chaulet, Fabien Girard, Claire Huss, Matthias Leclercq, Paul W. Linsbauer, Andreas Machguth, Horst Martin, Carlos Maussion, Fabien Morlighem, Mathieu Mosbeux, Cyrille Pandit, Ankur Portmann, Andrea Rabatel, Antoine Ramsankaran, RAAJ Reerink, Thomas J. Sanchez, Olivier Stentoft, Peter A. Singh Kumari, Sangita van Pelt, Ward J. J. Anderson, Brian Benham, Toby Binder, Daniel Dowdeswell, Julian A. Fischer, Andrea Helfricht, Kay Kutuzov, Stanislav Lavrentiev, Ivan McNabb, Robert Gudmundsson, G. Hilmar Li, Huilin Andreassen, Liss M. |
author_facet |
Farinotti, Daniel Brinkerhoff, Douglas J. Clarke, Garry K. C. Fürst, Johannes J. Frey, Holger Gantayat, Prateek Gillet-Chaulet, Fabien Girard, Claire Huss, Matthias Leclercq, Paul W. Linsbauer, Andreas Machguth, Horst Martin, Carlos Maussion, Fabien Morlighem, Mathieu Mosbeux, Cyrille Pandit, Ankur Portmann, Andrea Rabatel, Antoine Ramsankaran, RAAJ Reerink, Thomas J. Sanchez, Olivier Stentoft, Peter A. Singh Kumari, Sangita van Pelt, Ward J. J. Anderson, Brian Benham, Toby Binder, Daniel Dowdeswell, Julian A. Fischer, Andrea Helfricht, Kay Kutuzov, Stanislav Lavrentiev, Ivan McNabb, Robert Gudmundsson, G. Hilmar Li, Huilin Andreassen, Liss M. |
author_sort |
Farinotti, Daniel |
title |
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
title_short |
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
title_full |
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
title_fullStr |
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
title_full_unstemmed |
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
title_sort |
how accurate are estimates of glacier ice thickness? results from itmix, the ice thickness models intercomparison experiment |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/tc-11-949-2017 https://noa.gwlb.de/receive/cop_mods_00010345 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00010302/tc-11-949-2017.pdf https://tc.copernicus.org/articles/11/949/2017/tc-11-949-2017.pdf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-11-949-2017 https://noa.gwlb.de/receive/cop_mods_00010345 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00010302/tc-11-949-2017.pdf https://tc.copernicus.org/articles/11/949/2017/tc-11-949-2017.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-11-949-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
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2 |
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949 |
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970 |
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1766216650399416320 |