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Sensitivity of Observationally Based Estimates of Ocean Heat Content and Thermal Expansion to Vertical Interpolation Schemes

University of New South Wales
Church, John ; McDougall, Trevor ; Barker, Paul ; Zika, Jan ; Hervir, Mary ; Holmes, Ryan ; Stanley, Geoff ; Lang, Yandong ; de Lavergne, Casimir ; Groeskamp, Sjoerd
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26190/unsworks/24569&rft.title=Sensitivity of Observationally Based Estimates of Ocean Heat Content and Thermal Expansion to Vertical Interpolation Schemes&rft.identifier=https://doi.org/10.26190/unsworks/24569&rft.publisher=UNSW, Sydney&rft.description=The Earth is warming as a result of increasing greenhouse gas concentrations. About 90% of the additional energy stored in the climate system since the 1950s is in the ocean, with about 60% of the ocean storage in the upper 700 db. Our recent research (Li et al. Accepted 2022) has shown that accurate estimates of the ocean warming require accurate interpolation between the sparse sampling depths of historical profiles. Using a non-linear vertical interpolation scheme (Multiply-Rotated Piecewise Cubic Hermite Interpolating Polynomials, MR-PCHIP) that better approximates the change in temperature with depth results in larger estimates of ocean warming and ocean thermal expansion than a simple but biased estimates using linear interpolation. There are 8 files: Readme.txt, and 7 files corresponding to Figures 1a, 1b, 1c, 1d, 1e, 2 and S1 of Li et al. (2022). These files demonstrate the impact of different vertical interpolation techniques on ocean heat content and steric sea level. Users of the data should cite Li et al. (Accepted 2022)&rft.creator=Church, John &rft.creator=McDougall, Trevor &rft.creator=Barker, Paul &rft.creator=Zika, Jan &rft.creator=Hervir, Mary &rft.creator=Holmes, Ryan &rft.creator=Stanley, Geoff &rft.creator=Lang, Yandong &rft.creator=de Lavergne, Casimir &rft.creator=Groeskamp, Sjoerd &rft.date=2022&rft.coverage=The ocean deeper than 700 m and South of 66ºN.&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Climate change&rft_subject=Global warming&rft_subject=Ocean heat content&rft_subject=Sea level rise&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=EARTH SCIENCES&rft_subject=Physical Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft_subject=Climate Change Processes&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Understanding climate change not elsewhere classified&rft_subject=Understanding climate change&rft_subject=ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS&rft_subject=Effects of Climate Change and Variability on Australia (excl. Social Imapcts)&rft_subject=ENVIRONMENT&rft_subject=CLIMATE AND CLIMATE CHANGE&rft_subject=Global Effects of Climate Change and Variability (excl. Australia, New Zealand, Antarctica and the South Pacific) (excl. Social Impacts)&rft_subject=Climate Change Models&rft_subject=Climate Variability (excl. Social Impacts)&rft.type=dataset&rft.language=English Access the data
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The Earth is warming as a result of increasing greenhouse gas concentrations. About 90% of the additional energy stored in the climate system since the 1950s is in the ocean, with about 60% of the ocean storage in the upper 700 db.

Our recent research (Li et al. Accepted 2022) has shown that accurate estimates of the ocean warming require accurate interpolation between the sparse sampling depths of historical profiles. Using a non-linear vertical interpolation scheme (Multiply-Rotated Piecewise Cubic Hermite Interpolating Polynomials, MR-PCHIP) that better approximates the change in temperature with depth results in larger estimates of ocean warming and ocean thermal expansion than a simple but biased estimates using linear interpolation.

There are 8 files: Readme.txt, and 7 files corresponding to Figures 1a, 1b, 1c, 1d, 1e, 2 and S1 of Li et al. (2022). These files demonstrate the impact of different vertical interpolation techniques on ocean heat content and steric sea level.

Users of the data should cite Li et al. (Accepted 2022)

Issued: 2022

Data time period: 1955 to 2020

Data time period: Historical Instrumental Period

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Atmospheric Sciences | Climate and Climate Change | Climate Change Models | Climate Change Processes | Climate Variability (Excl. Social Impacts) | Climate change | Earth Sciences | Earth Sciences | Environment | Environmental Policy, Climate Change and Natural Hazards | Effects of Climate Change and Variability on Australia (Excl. Social Imapcts) | Global Effects of Climate Change and Variability (Excl. Australia, New Zealand, Antarctica and the South Pacific) (Excl. Social Impacts) | Global warming | Oceanography | Ocean heat content | Oceanography | Physical Oceanography | Physical Oceanography | Sea level rise | Understanding Climate Change | Understanding Climate Change Not Elsewhere Classified |

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