2012b: Potential for bias in 21st century semiempirical sea level projections
[1] We examine the limitations of a semiempirical model characterized by a sea level projection of 73 cm with RCP4.5 scenario by 2100. Calibrating the model with data to 1990 and then simulating the period 1993-2009 produces sea level in close agreement with acceleration in sea level rise observed b...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1051.6822 2023-05-15T13:41:28+02:00 2012b: Potential for bias in 21st century semiempirical sea level projections S Jevrejeva J C Moore A Grinsted The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1051.6822 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/JevrejevaetalSE2012JD017704.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1051.6822 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/JevrejevaetalSE2012JD017704.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/JevrejevaetalSE2012JD017704.pdf text ftciteseerx 2020-04-12T00:15:00Z [1] We examine the limitations of a semiempirical model characterized by a sea level projection of 73 cm with RCP4.5 scenario by 2100. Calibrating the model with data to 1990 and then simulating the period 1993-2009 produces sea level in close agreement with acceleration in sea level rise observed by satellite altimetry. Nonradiative forcing contributors, such as long-term adjustment of Greenland and Antarctica ice sheets since Last Glacial Maximum, abyssal ocean warming, and terrestrial water storage, may bias model calibration which, if corrected for, tend to reduce median sea level projections at 2100 by 2-10 cm, though this is within the confidence interval. We apply the semiempirical approach to simulate individual contributions from thermal expansion and small glacier melting. Steric sea level projections agree within 3 cm of output from process-based climate models. In contrast, semiempirical simulation of melting from glaciers is 26 cm, which is twice large as estimates from some process-based models; however, all process models lack simulation of calving, which likely accounts for 50% of small glacier mass loss worldwide. Furthermore, we suggest that changes in surface mass balance and dynamics of Greenland ice sheet made contributions to the sea level rise in the early 20th century and therefore are included within the semiempirical model calibration period and hence are included in semiempirical sea level projections by 2100. Antarctic response is probably absent from semiempirical models, which will lead to a underestimate in sea level rise if, as is probable, Antarctica loses mass by 2100. Text Antarc* Antarctic Antarctica glacier Greenland Ice Sheet Unknown Antarctic Greenland |
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description |
[1] We examine the limitations of a semiempirical model characterized by a sea level projection of 73 cm with RCP4.5 scenario by 2100. Calibrating the model with data to 1990 and then simulating the period 1993-2009 produces sea level in close agreement with acceleration in sea level rise observed by satellite altimetry. Nonradiative forcing contributors, such as long-term adjustment of Greenland and Antarctica ice sheets since Last Glacial Maximum, abyssal ocean warming, and terrestrial water storage, may bias model calibration which, if corrected for, tend to reduce median sea level projections at 2100 by 2-10 cm, though this is within the confidence interval. We apply the semiempirical approach to simulate individual contributions from thermal expansion and small glacier melting. Steric sea level projections agree within 3 cm of output from process-based climate models. In contrast, semiempirical simulation of melting from glaciers is 26 cm, which is twice large as estimates from some process-based models; however, all process models lack simulation of calving, which likely accounts for 50% of small glacier mass loss worldwide. Furthermore, we suggest that changes in surface mass balance and dynamics of Greenland ice sheet made contributions to the sea level rise in the early 20th century and therefore are included within the semiempirical model calibration period and hence are included in semiempirical sea level projections by 2100. Antarctic response is probably absent from semiempirical models, which will lead to a underestimate in sea level rise if, as is probable, Antarctica loses mass by 2100. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
S Jevrejeva J C Moore A Grinsted |
spellingShingle |
S Jevrejeva J C Moore A Grinsted 2012b: Potential for bias in 21st century semiempirical sea level projections |
author_facet |
S Jevrejeva J C Moore A Grinsted |
author_sort |
S Jevrejeva |
title |
2012b: Potential for bias in 21st century semiempirical sea level projections |
title_short |
2012b: Potential for bias in 21st century semiempirical sea level projections |
title_full |
2012b: Potential for bias in 21st century semiempirical sea level projections |
title_fullStr |
2012b: Potential for bias in 21st century semiempirical sea level projections |
title_full_unstemmed |
2012b: Potential for bias in 21st century semiempirical sea level projections |
title_sort |
2012b: potential for bias in 21st century semiempirical sea level projections |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1051.6822 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/JevrejevaetalSE2012JD017704.pdf |
geographic |
Antarctic Greenland |
geographic_facet |
Antarctic Greenland |
genre |
Antarc* Antarctic Antarctica glacier Greenland Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica glacier Greenland Ice Sheet |
op_source |
http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/JevrejevaetalSE2012JD017704.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1051.6822 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/JevrejevaetalSE2012JD017704.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766151109370445824 |