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Potential problems with the use of gridded climate data in regional quantitative paleoenvironmental studies from data-poor regions

机译:来自数据贫乏地区的区域定量古环境研究中使用网格化气候数据的潜在问题

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摘要

The reliability of quantitative paleoenvironmental reconstructions from lake sediment cores depends in part on the accuracy of the environmental data used in calibration. For paleoclimate reconstructions, gridded datasets provide convenient and consistent modern climate data for calibration. We show, however, that commonly used gridded climate data may have regional biases, which can affect calibration models and the paleoclimate reconstructions derived from them. Although there may be few alternatives to their use, researchers should be aware of potential problems, especially if unusual or counter-intuitive calibration models or reconstructions are obtained.
机译:湖泊沉积物岩心定量古环境重建的可靠性部分取决于校准中使用的环境数据的准确性。对于古气候重建,网格化数据集提供了方便且一致的现代气候数据以进行校准。但是,我们表明,常用的网格气候数据可能存在区域偏差,这可能会影响校准模型和从中得出的古气候重建。尽管可能没有其他选择,但研究人员应意识到潜在的问题,尤其是如果获得了异常或违反直觉的校准模型或重建模型。

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