Sensitivity of Global Upper-Ocean Heat Content Estimates to Mapping Methods, XBT Bias Corrections, and Baseline Climatologies*

  • Tim Boyer
    NOAA/National Centers for Environmental Information, Silver Spring, Maryland
  • Catia M. Domingues
    Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
  • Simon A. Good
    Met Office, Exeter, United Kingdom
  • Gregory C. Johnson
    NOAA/Pacific Marine Environmental Laboratory, Seattle, Washington
  • John M. Lyman
    NOAA/Pacific Marine Environmental Laboratory, Seattle, Washington
  • Masayoshi Ishii
    Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • Viktor Gouretski
    Center for Earth System Research and Sustainability, CliSAP, Integrated Climate Data Center, University of Hamburg, Hamburg, Germany
  • Josh K. Willis
    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
  • John Antonov
    University Corporation for Atmospheric Research, Boulder, Colorado
  • Susan Wijffels
    Commonwealth Scientific and Industrial Research Organization, Hobart, Tasmania, Australia
  • John A. Church
    Commonwealth Scientific and Industrial Research Organization, Hobart, Tasmania, Australia
  • Rebecca Cowley
    Commonwealth Scientific and Industrial Research Organization, Hobart, Tasmania, Australia
  • Nathaniel L. Bindoff
    Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia

Description

<jats:title>Abstract</jats:title> <jats:p>Ocean warming accounts for the majority of the earth’s recent energy imbalance. Historic ocean heat content (OHC) changes are important for understanding changing climate. Calculations of OHC anomalies (OHCA) from in situ measurements provide estimates of these changes. Uncertainties in OHCA estimates arise from calculating global fields from temporally and spatially irregular data (mapping method), instrument bias corrections, and the definitions of a baseline climatology from which anomalies are calculated. To investigate sensitivity of OHCA estimates for the upper 700 m to these different factors, the same quality-controlled dataset is used by seven groups and comparisons are made. Two time periods (1970–2008 and 1993–2008) are examined. Uncertainty due to the mapping method is 16.5 ZJ for 1970–2008 and 17.1 ZJ for 1993–2008 (1 ZJ = 1 × 1021 J). Uncertainty due to instrument bias correction varied from 8.0 to 17.9 ZJ for 1970–2008 and from 10.9 to 22.4 ZJ for 1993–2008, depending on mapping method. Uncertainty due to baseline mean varied from 3.5 to 14.5 ZJ for 1970–2008 and from 2.7 to 9.8 ZJ for 1993–2008, depending on mapping method and offsets. On average mapping method is the largest source of uncertainty. The linear trend varied from 1.3 to 5.0 ZJ yr−1 (0.08–0.31 W m−2) for 1970–2008 and from 1.5 to 9.4 ZJ yr−1 (0.09–0.58 W m−2) for 1993–2008, depending on method, instrument bias correction, and baseline mean. Despite these complications, a statistically robust upper-ocean warming was found in all cases for the full time period.</jats:p>

Journal

  • Journal of Climate

    Journal of Climate 29 (13), 4817-4842, 2016-06-16

    American Meteorological Society

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