Improved sea-level reconstruction from 1900 to 2019

Jinping Wang aFrontier Science Center for Deep Ocean Multispheres and Earth System / Physical Oceanography Laboratory, Ocean University of China, Qingdao, China

Search for other papers by Jinping Wang in
Current site
Google Scholar
PubMed
Close
,
John A. Church bClimate Change Research Centre, University of New South Wales, Sydney, Australia

Search for other papers by John A. Church in
Current site
Google Scholar
PubMed
Close
,
Xuebin Zhang cClimate Science Centre, CSIRO Environment, Hobart, Australia

Search for other papers by Xuebin Zhang in
Current site
Google Scholar
PubMed
Close
, and
Xianyao Chen aFrontier Science Center for Deep Ocean Multispheres and Earth System / Physical Oceanography Laboratory, Ocean University of China, Qingdao, China

Search for other papers by Xianyao Chen in
Current site
Google Scholar
PubMed
Close
Open access

Abstract

Before the satellite era, global sea-level reconstructions depend on tide-gauge records and in-situ hydrographic observations. However, the available global mean sea-level (GMSL) reconstructions, using different methods, indicate a spread in sea-level trend over 1900-2008 (1.3∼2.0 mm yr−1). With better understanding of the causes of sea-level change, here we implement an improved sea-level reconstruction, building upon Church and White (2011), and including three additional factors: the sea-level fingerprints, the sterodynamic sea level (SDSL) climate change patterns and more complete local vertical land motion (VLM) estimates. The trend of new GMSL reconstruction is 1.6 ± 0.2 mm yr−1 (90% confidence level) over 1900-2019, consistent with the sum of observation-based sea-level contributions of 1.5 ± 0.2 mm yr−1. The lower trend from the new reconstruction compared with the earlier Church and White (2011) result is mainly due to the updated VLM correction. The inclusion of sea-level fingerprints and SDSL climate change patterns are the dominant contributors for the improved skill of regional reconstruction. Despite GMSL budget closure in terms of long-term trend since 1900, our study shows discrepancies between the trends from available GMSL reconstructions and the sum of independent observation-based contributions over different periods in the 20th century, e.g., the discrepancy at the beginning of the 20th century, which could be related to possible bias in the land ice component estimate. The reconstruction methodology developed here, as tested with synthetic sea-level fields, could provide a promising way to identify potential biases in the individual sea-level components constrained by available global tide-gauge observations.

© 2024 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding authors: J. A. Church (john.church@unsw.edu.au); X. Zhang (xuebin.zhang@csiro.au)

Abstract

Before the satellite era, global sea-level reconstructions depend on tide-gauge records and in-situ hydrographic observations. However, the available global mean sea-level (GMSL) reconstructions, using different methods, indicate a spread in sea-level trend over 1900-2008 (1.3∼2.0 mm yr−1). With better understanding of the causes of sea-level change, here we implement an improved sea-level reconstruction, building upon Church and White (2011), and including three additional factors: the sea-level fingerprints, the sterodynamic sea level (SDSL) climate change patterns and more complete local vertical land motion (VLM) estimates. The trend of new GMSL reconstruction is 1.6 ± 0.2 mm yr−1 (90% confidence level) over 1900-2019, consistent with the sum of observation-based sea-level contributions of 1.5 ± 0.2 mm yr−1. The lower trend from the new reconstruction compared with the earlier Church and White (2011) result is mainly due to the updated VLM correction. The inclusion of sea-level fingerprints and SDSL climate change patterns are the dominant contributors for the improved skill of regional reconstruction. Despite GMSL budget closure in terms of long-term trend since 1900, our study shows discrepancies between the trends from available GMSL reconstructions and the sum of independent observation-based contributions over different periods in the 20th century, e.g., the discrepancy at the beginning of the 20th century, which could be related to possible bias in the land ice component estimate. The reconstruction methodology developed here, as tested with synthetic sea-level fields, could provide a promising way to identify potential biases in the individual sea-level components constrained by available global tide-gauge observations.

© 2024 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding authors: J. A. Church (john.church@unsw.edu.au); X. Zhang (xuebin.zhang@csiro.au)
Save