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Investigating the consistency between proxy-based reconstructions and climate models using data assimilation: a mid-Holocene case study

机译:使用数据同化研究基于代理的重建与气候模型之间的一致性:全新世中期案例研究

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The mid-Holocene (6 kyr BP; thousand years before present) is a key period to study the consistency between model results and proxy-based reconstruction data as it corresponds to a standard test for models and a reasonable number of proxy-based records is available. Taking advantage of this relatively large amount of information, we have compared a compilation of 50 air and sea surface temperature reconstructions with the results of three simulations performed with general circulation models and one carried out with LOVECLIM, a model of intermediate complexity. The conclusions derived from this analysis confirm that models and data agree on the large-scale spatial pattern but the models underestimate the magnitude of some observed changes and that large discrepancies are observed at the local scale. To further investigate the origin of those inconsistencies, we have constrained LOVECLIM to follow the signal recorded by the proxies selected in the compilation using a data-assimilation method based on a particle filter. In one simulation, all the 50 proxy-based records are used while in the other two only the continental or oceanic proxy-based records constrain the model results. As expected, data assimilation leads to improving the consistency between model results and the reconstructions. In particular, this is achieved in a robust way in all the experiments through a strengthening of the westerlies at midlatitude that warms up northern Europe. Furthermore, the comparison of the LOVECLIM simulations with and without data assimilation has also objectively identified 16 proxy-based paleoclimate records whose reconstructed signal is either incompatible with the signal recorded by some other proxy-based records or with model physics.
机译:全新世中期(6 yr BP;距今已有一千年)是研究模型结果与基于代理的重建数据之间一致性的关键时期,因为它对应于模型的标准测试,并且基于代理的记录数量合理。可用。利用相对大量的信息,我们比较了50个海平面和海面温度重建的编译结果,以及使用普通循环模型进行的三个模拟结果和使用中等复杂度模型LOVECLIM进行的三个模拟结果。从该分析得出的结论证实,模型和数据在大规模空间格局上是一致的,但是模型低估了一些观测到的变化的幅度,并且在局部尺度上观测到较大的差异。为了进一步研究这些不一致的根源,我们使用基于粒子过滤器的数据同化方法来约束LOVECLIM跟踪编译中选择的代理所记录的信号。在一个模拟中,使用了全部50个基于代理的记录,而在另两个模拟中,仅使用了基于大陆或海洋的基于代理的记录来约束模型结果。正如预期的那样,数据同化可改善模型结果与重建之间的一致性。尤其是,在所有实验中,通过加强中纬度的西风加强了北欧的气候,这是一种强有力的方法。此外,在有和没有数据同化的情况下,对LOVECLIM模拟的比较也客观地确定了16个基于代理的古气候记录,其重建信号与某些其他基于代理的记录所记录的信号或与模型物理学不兼容。

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