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    Erroneous Model Field Representations in Multiple Pseudoproxy Studies: Corrections and Implications 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 020:;page 5548
    Author(s): Smerdon, Jason E.; Kaplan, Alexey; Amrhein, Daniel E.
    Publisher: American Meteorological Society
    Abstract: seudoproxy experiments evaluate statistical methods used to reconstruct climate fields from paleoclimatic proxies during the Common Era. These experiments typically employ output from millennial simulations by general ...
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    Reply to “Comments on ‘Erroneous Model Field Representations in Multiple Pseudoproxy Studies: Corrections and Implications’” 

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 010:;page 3485
    Author(s): Smerdon, Jason E.; Kaplan, Alexey; Amrhein, Daniel E.
    Publisher: American Meteorological Society
    Abstract: he commenters confirm the errors identified and discussed in Smerdon et al., which either invalidated or required the reinterpretation of quantitative results from pseudoproxy experiments presented or used in several earlier ...
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    A Global Glacial Ocean State Estimate Constrained by Upper-Ocean Temperature Proxies 

    Source: Journal of Climate:;2018:;volume 031:;issue 019:;page 8059
    Author(s): Amrhein, Daniel E.; Wunsch, Carl; Marchal, Olivier; Forget, Gael
    Publisher: American Meteorological Society
    Abstract: AbstractWe use the method of least squares with Lagrange multipliers to fit an ocean general circulation model to the Multiproxy Approach for the Reconstruction of the Glacial Ocean Surface (MARGO) estimate of near sea ...
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    A Dynamics-Weighted Principal Components Analysis of Dominant Atmospheric Drivers of Ocean Variability with an Application to the North Atlantic Subpolar Gyre 

    Source: Journal of Climate:;2024:;volume( 037 ):;issue: 008:;page 2673
    Author(s): Amrhein, Daniel E.; Stephenson, Dafydd; Thompson, LuAnne
    Publisher: American Meteorological Society
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    Earth System Reanalysis in Support of Climate Model Improvements 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 008:;page E1399
    Author(s): Stammer, Detlef; Amrhein, Daniel E.; Alonso Balmaseda, Magdalena; Bertino, Laurent; Bonavita, Massimo; Buontempo, Carlo; Caltabiano, Nico; Counillon, Francois; Fenty, Ian; Ferrari, Raffaele; Fujii, Yosuke; Gaikwad, Shreyas Sunil; Gentine, Pierre; Gettelma
    Publisher: American Meteorological Society
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