Semiempirical and process-based global sea level projections

We review the two main approaches to estimating sea level rise over the coming century: physically plausible models of reduced complexity that exploit statistical relationships between sea level and climate forcing, and more complex physics-based models of the separate elements of the sea level budg...

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Published in:Reviews of Geophysics
Main Authors: Moore, John C., Grinsted, Aslak, Zwinger, Thomas, Jevrejeva, Svetlana
Format: Article in Journal/Newspaper
Language:English
Published: 2013
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/503708/
https://nora.nerc.ac.uk/id/eprint/503708/1/rog20015.pdf
https://doi.org/10.1002/rog.20015
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spelling ftnerc:oai:nora.nerc.ac.uk:503708 2023-05-15T16:40:38+02:00 Semiempirical and process-based global sea level projections Moore, John C. Grinsted, Aslak Zwinger, Thomas Jevrejeva, Svetlana 2013-09 text http://nora.nerc.ac.uk/id/eprint/503708/ https://nora.nerc.ac.uk/id/eprint/503708/1/rog20015.pdf https://doi.org/10.1002/rog.20015 en eng https://nora.nerc.ac.uk/id/eprint/503708/1/rog20015.pdf Moore, John C.; Grinsted, Aslak; Zwinger, Thomas; Jevrejeva, Svetlana orcid:0000-0001-9490-4665 . 2013 Semiempirical and process-based global sea level projections. Reviews of Geophysics, 51 (3). 484-522. https://doi.org/10.1002/rog.20015 <https://doi.org/10.1002/rog.20015> Publication - Article PeerReviewed 2013 ftnerc https://doi.org/10.1002/rog.20015 2023-02-04T19:37:58Z We review the two main approaches to estimating sea level rise over the coming century: physically plausible models of reduced complexity that exploit statistical relationships between sea level and climate forcing, and more complex physics-based models of the separate elements of the sea level budget. Previously, estimates of future sea level rise from semiempirical models were considerably larger than those from process-based models. However, we show that the most recent estimates of sea level rise by 2100 using both methods have converged, but largely through increased contributions and uncertainties in process-based model estimates of ice sheets mass loss. Hence, we focus in this paper on ice sheet flow as this has the largest potential to contribute to sea level rise. Progress has been made in ice dynamics, ice stream flow, grounding line migration, and integration of ice sheet models with high-resolution climate models. Calving physics remains an important and difficult modeling issue. Mountain glaciers, numbering hundreds of thousands, must be modeled by extensive statistical extrapolation from a much smaller calibration data set. Rugged topography creates problems in process-based mass balance simulations forced by regional climate models with resolutions 10–100 times larger than the glaciers. Semiempirical models balance increasing numbers of parameters with the choice of noise model for the observations to avoid overfitting the highly autocorrelated sea level data. All models face difficulty in separating out non-climate-driven sea level rise (e.g., groundwater extraction) and long-term disequilibria in the present-day cryosphere-sea level system. Article in Journal/Newspaper Ice Sheet Natural Environment Research Council: NERC Open Research Archive Reviews of Geophysics 51 3 484 522
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language English
description We review the two main approaches to estimating sea level rise over the coming century: physically plausible models of reduced complexity that exploit statistical relationships between sea level and climate forcing, and more complex physics-based models of the separate elements of the sea level budget. Previously, estimates of future sea level rise from semiempirical models were considerably larger than those from process-based models. However, we show that the most recent estimates of sea level rise by 2100 using both methods have converged, but largely through increased contributions and uncertainties in process-based model estimates of ice sheets mass loss. Hence, we focus in this paper on ice sheet flow as this has the largest potential to contribute to sea level rise. Progress has been made in ice dynamics, ice stream flow, grounding line migration, and integration of ice sheet models with high-resolution climate models. Calving physics remains an important and difficult modeling issue. Mountain glaciers, numbering hundreds of thousands, must be modeled by extensive statistical extrapolation from a much smaller calibration data set. Rugged topography creates problems in process-based mass balance simulations forced by regional climate models with resolutions 10–100 times larger than the glaciers. Semiempirical models balance increasing numbers of parameters with the choice of noise model for the observations to avoid overfitting the highly autocorrelated sea level data. All models face difficulty in separating out non-climate-driven sea level rise (e.g., groundwater extraction) and long-term disequilibria in the present-day cryosphere-sea level system.
format Article in Journal/Newspaper
author Moore, John C.
Grinsted, Aslak
Zwinger, Thomas
Jevrejeva, Svetlana
spellingShingle Moore, John C.
Grinsted, Aslak
Zwinger, Thomas
Jevrejeva, Svetlana
Semiempirical and process-based global sea level projections
author_facet Moore, John C.
Grinsted, Aslak
Zwinger, Thomas
Jevrejeva, Svetlana
author_sort Moore, John C.
title Semiempirical and process-based global sea level projections
title_short Semiempirical and process-based global sea level projections
title_full Semiempirical and process-based global sea level projections
title_fullStr Semiempirical and process-based global sea level projections
title_full_unstemmed Semiempirical and process-based global sea level projections
title_sort semiempirical and process-based global sea level projections
publishDate 2013
url http://nora.nerc.ac.uk/id/eprint/503708/
https://nora.nerc.ac.uk/id/eprint/503708/1/rog20015.pdf
https://doi.org/10.1002/rog.20015
genre Ice Sheet
genre_facet Ice Sheet
op_relation https://nora.nerc.ac.uk/id/eprint/503708/1/rog20015.pdf
Moore, John C.; Grinsted, Aslak; Zwinger, Thomas; Jevrejeva, Svetlana orcid:0000-0001-9490-4665 . 2013 Semiempirical and process-based global sea level projections. Reviews of Geophysics, 51 (3). 484-522. https://doi.org/10.1002/rog.20015 <https://doi.org/10.1002/rog.20015>
op_doi https://doi.org/10.1002/rog.20015
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container_issue 3
container_start_page 484
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