High-resolution multiproxy reconstruction of extratropical North Atlantic climate dynamics during the last millennium

时空高分辨率海洋代理记录，特别是从外来设置，是必不可少的，以了解地球系统内的强迫和反馈机制。然而，到目前为止，即使是最好的解决记录，沉积物芯从近海北冰岛，只提供了2-5年的决议，是强烈的夏季偏见。这些数据不足以确定气候变化发生的速度，也不足以提供时空气候动态的详细情况。极端事件是平滑的，年际或季节时间尺度上的实际海表温度（SST）变化并没有反映在这些记录中。此外，不同的替代SST重建从同一个核心显着偏离彼此。这项研究将首次生成北大西洋不同区域（冰岛、缅因州湾、北海）SST、盐度和初级生产力的不间断、千年尺度、定量、多代理记录（δ 18 O、δ 13 C、Sr/Ca、Δ47），提供年际--适当时季节--分辨率。主年表将构建从贝壳与重叠的寿命长的双壳类，北极岛。研究结果将大大提高我们对海洋极锋和区域/流域水文模式、遥相关、海洋-大气耦合、十年气候变率和表层沃茨快速扰动的时间动态的理解。这些新的记录可用作海洋-大气耦合气候数值模式的输入变量，以减少未来模拟的不确定性。

Spatiotemporal high-resolution marine proxy records, specifically from extratropical settings, are es-sential to understand forcing and feedback mechanisms operating within the Earth system. As yet, however, even the best resolved record, a sediment core from offshore North Iceland, provides only a 2-5 yr resolution and is strongly summer biased. Such data are insufficient to determine how fast regime shifts occurred or to provide details on spatiotemporal climate dynamics. Extreme events are smoothed out, and the actual sea surface temperature (SST) variance on interannual or seasonal time-scales is not reflected in these records. Furthermore, different proxy SST reconstructions from the same core significantly deviate from each other. For the first time, this study will generate unin-terrupted, millennial-scale, quantitative, multiproxy records (δ18O, δ13C, Sr/Ca, Δ47) of SST, salinity and primary productivity from various regions in the North Atlantic (Iceland, Gulf of Maine, North Sea) providing interannual – and where appropriate seasonal – resolution. Master chronologies will be constructed from shells with overlapping life-spans of the long-lived bivalve, Arctica islandica. Results will significantly improve our understanding of the temporal dynamics of the oceanic Polar Front and regional / basin-wide hydrographic patterns, teleconnections, ocean-atmosphere couplings, decadal climate variability and rapid perturbations in surface waters. These new records can be used as input variables for numerical models of the coupled ocean-atmosphere climate to reduce the uncertainty in future simulations.