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  • 1
    Publication Date: 2022-05-25
    Description: © The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Climate of the Past 9 (2013): 1481-1493, doi:10.5194/cp-9-1481-2013.
    Description: We present a Bayesian model for estimating the parameters of the VS-Lite forward model of tree-ring width for a particular chronology and its local climatology. The scheme also provides information about the uncertainty of the parameter estimates, as well as the model error in representing the observed proxy time series. By inferring VS-Lite's parameters independently for synthetically generated ring-width series at several hundred sites across the United States, we show that the algorithm is skillful. We also infer optimal parameter values for modeling observed ring-width data at the same network of sites. The estimated parameter values covary in physical space, and their locations in multidimensional parameter space provide insight into the dominant climatic controls on modeled tree-ring growth at each site as well as the stability of those controls. The estimation procedure is useful for forward and inverse modeling studies using VS-Lite to quantify the full range of model uncertainty stemming from its parameterization.
    Description: This work was supported in part by an American Association of University Women Dissertation Fellowship and grants NSF ATM-0724802, NSF ATM-0902715, NSF DMS- 1204892, and NOAA NA060OAR4310115.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/zip
    Format: application/pdf
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Quaternary Science Reviews 76 (2013): 16-28, doi:10.1016/j.quascirev.2013.05.024.
    Description: A proxy system model may be defined as the complete set of forward and mechanistic processes by which the response of a sensor to environmental forcing is recorded and subsequently observed in a material archive. Proxy system modeling complements and sharpens signal interpretations based solely on statistical analyses and transformations; provides the basis for observing network optimization, hypothesis testing, and data-model comparisons for uncertainty estimation; and may be incorporated as weak but mechanistically-plausible constraints into paleoclimatic reconstruction algorithms. Following a review illustrating these applications, we recommend future research pathways, including development of intermediate proxy system models for important sensors, archives, and observations; linking proxy system models to climate system models; hypothesis development and evaluation; more realistic multi-archive, multi-observation network design; examination of proxy system behavior under extreme conditions; and generalized modeling of the total uncertainty in paleoclimate reconstructions derived from paleo-observations.
    Description: MNE and DMT were funded by NOAA/C2D2 grant NA10OAR4310115; SETW gratefully acknowledges support from an American Association of UniversityWomen Dissertation Fellowship. Work cited in this review was supported by NSF grants 0349356, 0724802 and 0902715, NOAA grants NA06OAR4310115 and NA08OAR4310682, and the University of Arizona’s Department of Geosciences and Institute of the Environment.
    Keywords: Forward modeling ; Observational network optimization ; Data-model comparison ; Hypothesis evaluation ; Reconstruction ; Uncertainty modeling
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
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