Potential for bias in 21st century semiempirical sea level projections

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Potential for bias in 21st century semiempirical sea level projections. / Jevrejeva, S.; Moore, J. C.; Grinsted, A.

In: Journal of Geophysical Research: Biogeosciences, Vol. 117, No. D20, D20116, 2012, p. 1-10.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Jevrejeva, S, Moore, JC & Grinsted, A 2012, 'Potential for bias in 21st century semiempirical sea level projections', Journal of Geophysical Research: Biogeosciences, vol. 117, no. D20, D20116, pp. 1-10. https://doi.org/10.1029/2012JD017704

APA

Jevrejeva, S., Moore, J. C., & Grinsted, A. (2012). Potential for bias in 21st century semiempirical sea level projections. Journal of Geophysical Research: Biogeosciences, 117(D20), 1-10. [D20116]. https://doi.org/10.1029/2012JD017704

Vancouver

Jevrejeva S, Moore JC, Grinsted A. Potential for bias in 21st century semiempirical sea level projections. Journal of Geophysical Research: Biogeosciences. 2012;117(D20):1-10. D20116. https://doi.org/10.1029/2012JD017704

Author

Jevrejeva, S. ; Moore, J. C. ; Grinsted, A. / Potential for bias in 21st century semiempirical sea level projections. In: Journal of Geophysical Research: Biogeosciences. 2012 ; Vol. 117, No. D20. pp. 1-10.

Bibtex

@article{1b8ed491139c478996f94f1c68cab710,
title = "Potential for bias in 21st century semiempirical sea level projections",
abstract = "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.",
author = "S. Jevrejeva and Moore, {J. C.} and A. Grinsted",
year = "2012",
doi = "10.1029/2012JD017704",
language = "English",
volume = "117",
pages = "1--10",
journal = "Journal of Geophysical Research: Solid Earth",
issn = "0148-0227",
publisher = "American Geophysical Union",
number = "D20",

}

RIS

TY - JOUR

T1 - Potential for bias in 21st century semiempirical sea level projections

AU - Jevrejeva, S.

AU - Moore, J. C.

AU - Grinsted, A.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1029/2012JD017704

DO - 10.1029/2012JD017704

M3 - Journal article

VL - 117

SP - 1

EP - 10

JO - Journal of Geophysical Research: Solid Earth

JF - Journal of Geophysical Research: Solid Earth

SN - 0148-0227

IS - D20

M1 - D20116

ER -

ID: 49736862