Assessment of errors and uncertainty patterns in GIA modeling
During the last decade many efforts have been devoted to the assessment of global sea level rise and to the determination of the mass balance of continental ice sheets. In this context, the important role of glacial-isostatic adjustment (GIA) has been clearly recognized. Yet, in many cases only one...
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ftdtupubl:oai:pure.atira.dk:publications/dd2824cf-b6a0-4392-9b62-f0d3d6158982 2023-05-15T13:54:38+02:00 Assessment of errors and uncertainty patterns in GIA modeling Barletta, Valentina Roberta Spada, G. 2012 application/pdf https://orbit.dtu.dk/en/publications/dd2824cf-b6a0-4392-9b62-f0d3d6158982 https://backend.orbit.dtu.dk/ws/files/9770525/Barletta-GIA-SLALOM.pdf eng eng info:eu-repo/semantics/openAccess Barletta , V R & Spada , G 2012 , ' Assessment of errors and uncertainty patterns in GIA modeling ' , SLALOM 2012 , Athens , Greece , 19/03/2012 - 22/03/2012 . Glacial isostatic adjustment Ice mass balance Sea level rise conferenceObject 2012 ftdtupubl 2022-08-14T08:12:19Z During the last decade many efforts have been devoted to the assessment of global sea level rise and to the determination of the mass balance of continental ice sheets. In this context, the important role of glacial-isostatic adjustment (GIA) has been clearly recognized. Yet, in many cases only one "preferred" GIA model has been used, without any consideration of the possible errors involved. Lacking a rigorous assessment of systematic errors in GIA modeling, the reliabil-ity of the results is uncertain. GIA sensitivity and uncertainties associated with the viscosity mod-els have been explored in the literature. However, at least two major sources of errors remain. The first is associated with the ice models, spatial distribution of ice and history of melting (this is especially the case of Antarctica), the second with the numerical implementation of model fea-tures relevant to sea level modeling, such as time-evolving shorelines and paleo-coastlines. In this study we quantify these uncertainties and their propagation in GIA response using a Monte Carlo approach to obtain spatio-temporal patterns of GIA errors. A direct application is the error estimates in ice mass balance in Antarctica and Greenland due to GIA. GIA errors are also important in the far field of previously glaciated areas and in the time evolution of global indicators. In this regard we also account for other possible errors sources which can impact global indicators like the sea level history related to GIA. Conference Object Antarc* Antarctica Greenland Technical University of Denmark: DTU Orbit Greenland |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Glacial isostatic adjustment Ice mass balance Sea level rise |
spellingShingle |
Glacial isostatic adjustment Ice mass balance Sea level rise Barletta, Valentina Roberta Spada, G. Assessment of errors and uncertainty patterns in GIA modeling |
topic_facet |
Glacial isostatic adjustment Ice mass balance Sea level rise |
description |
During the last decade many efforts have been devoted to the assessment of global sea level rise and to the determination of the mass balance of continental ice sheets. In this context, the important role of glacial-isostatic adjustment (GIA) has been clearly recognized. Yet, in many cases only one "preferred" GIA model has been used, without any consideration of the possible errors involved. Lacking a rigorous assessment of systematic errors in GIA modeling, the reliabil-ity of the results is uncertain. GIA sensitivity and uncertainties associated with the viscosity mod-els have been explored in the literature. However, at least two major sources of errors remain. The first is associated with the ice models, spatial distribution of ice and history of melting (this is especially the case of Antarctica), the second with the numerical implementation of model fea-tures relevant to sea level modeling, such as time-evolving shorelines and paleo-coastlines. In this study we quantify these uncertainties and their propagation in GIA response using a Monte Carlo approach to obtain spatio-temporal patterns of GIA errors. A direct application is the error estimates in ice mass balance in Antarctica and Greenland due to GIA. GIA errors are also important in the far field of previously glaciated areas and in the time evolution of global indicators. In this regard we also account for other possible errors sources which can impact global indicators like the sea level history related to GIA. |
format |
Conference Object |
author |
Barletta, Valentina Roberta Spada, G. |
author_facet |
Barletta, Valentina Roberta Spada, G. |
author_sort |
Barletta, Valentina Roberta |
title |
Assessment of errors and uncertainty patterns in GIA modeling |
title_short |
Assessment of errors and uncertainty patterns in GIA modeling |
title_full |
Assessment of errors and uncertainty patterns in GIA modeling |
title_fullStr |
Assessment of errors and uncertainty patterns in GIA modeling |
title_full_unstemmed |
Assessment of errors and uncertainty patterns in GIA modeling |
title_sort |
assessment of errors and uncertainty patterns in gia modeling |
publishDate |
2012 |
url |
https://orbit.dtu.dk/en/publications/dd2824cf-b6a0-4392-9b62-f0d3d6158982 https://backend.orbit.dtu.dk/ws/files/9770525/Barletta-GIA-SLALOM.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
Barletta , V R & Spada , G 2012 , ' Assessment of errors and uncertainty patterns in GIA modeling ' , SLALOM 2012 , Athens , Greece , 19/03/2012 - 22/03/2012 . |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766260695648698368 |