Reply to “timing errors in global sea level observations” (Pan et al., 2025)
Reply to “timing errors in global sea level observations” (Pan et al., 2025)
Pan et al. (2025) claim to uncover numerous timing and datum errors in the University of Hawai‘i Sea Level Center Research Quality dataset and declare that the dataset is “less reliable than previously assumed”. We argue that Pan et al. overstate the scientific implications of unresolved issues in the dataset and demonstrate that Pan et al. have failed to consider the extensive metadata accompanying the observations, which already document most of the issues Pan et al. claim to expose. We also clarify the nature of the Research Quality dataset, which is not guaranteed to be free of errors, and assert that when data and metadata are used together as intended, the dataset remains a reliable basis for scientific research.
Thompson, Philip R.
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Genz, Ayesha S.
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Widlansky, Matthew J.
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Mitchum, Gary T.
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Bradshaw, Elizabeth
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Devlin, Adam T.
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Gómez, Begoña P.
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Haigh, Ivan D.
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Marcos, Marta
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Matthews, Andrew
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Merrifield, Mark A.
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Thompson, Philip R.
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Genz, Ayesha S.
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Widlansky, Matthew J.
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Mitchum, Gary T.
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Bradshaw, Elizabeth
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Devlin, Adam T.
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Gómez, Begoña P.
de41c8e7-7dfc-4399-a299-ccd1a08cd421
Haigh, Ivan D.
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Marcos, Marta
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Matthews, Andrew
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Merrifield, Mark A.
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Thompson, Philip R., Genz, Ayesha S., Widlansky, Matthew J., Mitchum, Gary T., Bradshaw, Elizabeth, Devlin, Adam T., Gómez, Begoña P., Haigh, Ivan D., Marcos, Marta, Matthews, Andrew and Merrifield, Mark A.
(2025)
Reply to “timing errors in global sea level observations” (Pan et al., 2025).
Ocean Dynamics, 75 (2), [18].
(doi:10.1007/s10236-025-01662-x).
Abstract
Pan et al. (2025) claim to uncover numerous timing and datum errors in the University of Hawai‘i Sea Level Center Research Quality dataset and declare that the dataset is “less reliable than previously assumed”. We argue that Pan et al. overstate the scientific implications of unresolved issues in the dataset and demonstrate that Pan et al. have failed to consider the extensive metadata accompanying the observations, which already document most of the issues Pan et al. claim to expose. We also clarify the nature of the Research Quality dataset, which is not guaranteed to be free of errors, and assert that when data and metadata are used together as intended, the dataset remains a reliable basis for scientific research.
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Submitted date: 22 January 2025
e-pub ahead of print date: 4 February 2025
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Local EPrints ID: 499412
URI: http://eprints.soton.ac.uk/id/eprint/499412
ISSN: 1616-7341
PURE UUID: a7942ac5-1930-4267-a620-cb8607061dc8
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Date deposited: 19 Mar 2025 17:33
Last modified: 20 Mar 2025 02:41
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Contributors
Author:
Philip R. Thompson
Author:
Ayesha S. Genz
Author:
Matthew J. Widlansky
Author:
Gary T. Mitchum
Author:
Elizabeth Bradshaw
Author:
Adam T. Devlin
Author:
Begoña P. Gómez
Author:
Marta Marcos
Author:
Andrew Matthews
Author:
Mark A. Merrifield
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