Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview

This work provides a comparison of four approaches that can be used to describe uncertainty in models of the long‐term glacial isostatic adjustment (GIA) process. The four methods range from pessimistic to optimistic representations of GIA uncertainty. Each estimation method is applied to selected o...

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Published in:Journal of Geophysical Research: Solid Earth
Main Authors: Simon, K.M., Riva, R.E.M.
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://www.vliz.be/imisdocs/publications/44/355744.pdf
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spelling ftnioz:oai:imis.nioz.nl:331400 2023-05-15T16:12:06+02:00 Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview Simon, K.M. Riva, R.E.M. 2020 application/pdf https://www.vliz.be/imisdocs/publications/44/355744.pdf en eng info:eu-repo/semantics/altIdentifier/wos/000582684200036 info:eu-repo/semantics/altIdentifier/doi/.org/10.1029/2019JB018983 https://www.vliz.be/imisdocs/publications/44/355744.pdf info:eu-repo/semantics/openAccess %3Ci%3EJGR%3A+Solid+Earth+125%288%29%3C%2Fi%3E%3A+e2019JB018983.+%3Ca+href%3D%22https%3A%2F%2Fdoi.org%2F10.1029%2F2019JB018983%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdoi.org%2F10.1029%2F2019JB018983%3C%2Fa%3E info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2020 ftnioz https://doi.org/10.1029/2019JB018983 2022-05-01T14:12:59Z This work provides a comparison of four approaches that can be used to describe uncertainty in models of the long‐term glacial isostatic adjustment (GIA) process. The four methods range from pessimistic to optimistic representations of GIA uncertainty. Each estimation method is applied to selected one dimensional GIA model predictions and compared with vertical land motion data from Global Positioning System (GPS) measurements across Fennoscandia and North America. The methods are evaluated relative to two main properties: (1) their expected ability to separate non‐GIA from GIA signals and (2) their estimated statistical appropriateness given a specific GIA model and data set. For the first point, non‐GIA signals are considered isolated from the long‐term (millennial time scale) GIA signal at sites where measurement and model uncertainties do not overlap. Across methods, the frequency and accuracy with which non‐GIA signals are separated from GIA signals in GPS data display both consistent similarities and disparities. For the second point, we compare model predictions with rates of vertical land motion and relative sea level change that have been cleaned of non‐GIA signals to determine the most appropriate value of model uncertainty and relate the findings to the four approaches. Best fit inferences suggest that within deglaciation centers, GIA model uncertainty is up to ~2 mm/yr (vertical land motion). Likewise, away from the former ice sheet centers, GIA uncertainty for relative sea level change is inferred to be ~0.3–0.5 mm/yr along the U.S. East Coast and ~0.6–0.8 mm/yr in the North Sea. Article in Journal/Newspaper Fennoscandia Ice Sheet NIOZ Repository (Royal Netherlands Institute for Sea Research) Journal of Geophysical Research: Solid Earth 125 8
institution Open Polar
collection NIOZ Repository (Royal Netherlands Institute for Sea Research)
op_collection_id ftnioz
language English
description This work provides a comparison of four approaches that can be used to describe uncertainty in models of the long‐term glacial isostatic adjustment (GIA) process. The four methods range from pessimistic to optimistic representations of GIA uncertainty. Each estimation method is applied to selected one dimensional GIA model predictions and compared with vertical land motion data from Global Positioning System (GPS) measurements across Fennoscandia and North America. The methods are evaluated relative to two main properties: (1) their expected ability to separate non‐GIA from GIA signals and (2) their estimated statistical appropriateness given a specific GIA model and data set. For the first point, non‐GIA signals are considered isolated from the long‐term (millennial time scale) GIA signal at sites where measurement and model uncertainties do not overlap. Across methods, the frequency and accuracy with which non‐GIA signals are separated from GIA signals in GPS data display both consistent similarities and disparities. For the second point, we compare model predictions with rates of vertical land motion and relative sea level change that have been cleaned of non‐GIA signals to determine the most appropriate value of model uncertainty and relate the findings to the four approaches. Best fit inferences suggest that within deglaciation centers, GIA model uncertainty is up to ~2 mm/yr (vertical land motion). Likewise, away from the former ice sheet centers, GIA uncertainty for relative sea level change is inferred to be ~0.3–0.5 mm/yr along the U.S. East Coast and ~0.6–0.8 mm/yr in the North Sea.
format Article in Journal/Newspaper
author Simon, K.M.
Riva, R.E.M.
spellingShingle Simon, K.M.
Riva, R.E.M.
Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview
author_facet Simon, K.M.
Riva, R.E.M.
author_sort Simon, K.M.
title Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview
title_short Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview
title_full Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview
title_fullStr Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview
title_full_unstemmed Uncertainty estimation in regional models of long‐term GIA uplift and sea level change: An overview
title_sort uncertainty estimation in regional models of long‐term gia uplift and sea level change: an overview
publishDate 2020
url https://www.vliz.be/imisdocs/publications/44/355744.pdf
genre Fennoscandia
Ice Sheet
genre_facet Fennoscandia
Ice Sheet
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container_title Journal of Geophysical Research: Solid Earth
container_volume 125
container_issue 8
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