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    Assessing Bias and Uncertainty in the HadAT-Adjusted Radiosonde Climate Record


    McCarthy, Mark P. and Titchner, Holly A. and Thorne, Peter and Tett, Simon F.B. and Haimberger, L. and Parker, D.E. (2008) Assessing Bias and Uncertainty in the HadAT-Adjusted Radiosonde Climate Record. Journal of Climate, 21 (4). pp. 817-832. ISSN 0894-8755

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    Abstract

    Uncertainties in observed records of atmospheric temperature aloft remain poorly quantified. This has resulted in considerable controversy regarding signals of climate change over recent decades from temperature records of radiosondes and satellites. This work revisits the problems associated with the removal of inhomogeneities from the historical radiosonde temperature records, and provides a method for quantifying uncertainty in an adjusted radiosonde climate record due to the subjective choices made during the data homogenization. This paper presents an automated homogenization method designed to replicate the decisions made by manual judgment in the generation of an earlier radiosonde dataset [i.e., the Hadley Centre radiosonde temperature dataset (HadAT)]. A number of validation experiments have been conducted to test the system performance and impact on linear trends. Using climate model data to simulate biased radiosonde data, the authors show that limitations in the homogenization method are sufficiently large to explain much of the tropical trend discrepancy between HadAT and estimates from satellite platforms and climate models. This situation arises from the combination of systematic (unknown magnitude) and random uncertainties (of order 0.05 K decade−1) in the radiosonde data. Previous assessment of trends and uncertainty in HadAT is likely to have underestimated the systematic bias in tropical mean temperature trends. This objective assessment of radiosonde homogenization supports the conclusions of the synthesis report of the U.S. Climate Change Science Program (CCSP), and associated research, regarding potential bias in tropospheric temperature records from radiosondes.

    Item Type: Article
    Keywords: Radiosonde observations; Data quality control; Temperature; Troposphere; Trends;
    Academic Unit: Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
    Item ID: 6545
    Identification Number: https://doi.org/10.1175/2007JCLI1733.1
    Depositing User: Peter Thorne
    Date Deposited: 05 Nov 2015 16:12
    Journal or Publication Title: Journal of Climate
    Publisher: American Meteorological Society
    Refereed: Yes
    URI:

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