Preprints
https://doi.org/10.5194/cp-2019-153
https://doi.org/10.5194/cp-2019-153

  13 Feb 2020

13 Feb 2020

Review status: a revised version of this preprint was accepted for the journal CP and is expected to appear here in due course.

Estimating the timescale-dependent uncertainty of paleoclimate records – a spectral approach. Part II: Application and interpretation

Andrew M. Dolman1, Torben Kunz1, Jeroen Groeneveld1, and Thomas Laepple1,2 Andrew M. Dolman et al.
  • 1Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung, Research Unit Potsdam, Telegrafenberg A45, 14473 Potsdam, Germany
  • 2University of Bremen, MARUM – Center for Marine Environmental Sciences and Faculty of Geosciences, 28334 Bremen, Germany

Abstract. Proxy climate records are an invaluable source of information about the earth’s climate prior to the instrumental record. The temporal- and spatial-coverage of records continues to increase, however, these records of past climate are associated with significant uncertainties due to non-climate processes that influence the recorded and measured proxy values. Generally, these uncertainties are timescale-dependent and correlated in time. Accounting for structure in the errors is essential to providing realistic error estimates for smoothed or stacked records, detection of anomalies and identifying trend, but this structure is seldom accounted for. In the first of these companion articles we outlined a theoretical framework for handling proxy uncertainties by deriving the power spectrum of proxy error components from which it is possible to obtain timescale-dependent error estimates. Here in part II, we demonstrate the practical application of this theoretical framework using the example of marine sediment cores. We consider how to obtain estimates for the required parameters and give examples of the application of this approach for typical marine sediment proxy records. Our new approach of estimating and providing timescale-dependent proxy errors overcomes the limitations of simplistic single value error estimates. We aim to provide the conceptual basis for a more quantitative use of paleo-records for applications such as model-data comparison, regional and global synthesis of past climate states and data assimilation.

Andrew M. Dolman et al.

 
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Andrew M. Dolman et al.

Andrew M. Dolman et al.

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Short summary
Uncertainties in climate proxy records are temporally autocorrelated. By deriving expressions for the power-spectra of errors in proxy records, we can estimate appropriate uncertainties for any timescale. For example, for temporally smoothed records, or for time-slices. Here we outline and demonstrate this approach for climate proxies recovered from marine sediment cores.