温度重建是否存在区域偏差？
Are temperature reconstructions regionally biased?
摘要：
温度重建是否可能由于所利用的代理网络的区域性密度不同而存在偏差？这个问题是利用一个简单的基于过程的树木生长的正向模型在虚拟现实的两个模拟的气候上千年不同幅度的太阳强迫变化进行评估。假树轮系列在北半球高纬度和东亚地区成簇分布。对于整个网络，仅发现弱偏差。然而，对于一个强大的太阳强迫振幅的高纬度地区表明一个温暖的上半年的最后一个千年，而中纬度地区和亚洲略冷比外半球的平均水平。两种简单的重建方案重建技术薄弱或不存在，虚拟现实目标和重建的比较显示出强烈的不足。代理的时间分辨率对重建任务有影响，并且结果对代理网络的构建敏感。现有的区域温度偏差可以通过重建方法的技巧来减弱或加重。
英文摘要：
Are temperature reconstructions possibly biased due to regionally differing density of utilized proxy-networks? This question is assessed utilizing a simple process-based forward model of tree growth in the virtual reality of two simulations of the climate of the last millennium with different amplitude of solar forcing variations. The pseudo-tree ring series cluster in high latitudes of the northern hemisphere and east Asia. Only weak biases are found for the full network. However, for a strong solar forcing amplitude the high latitudes indicate a warmer first half of the last millennium while mid-latitudes and Asia were slightly colder than the extratropical hemispheric average. Reconstruction skill is weak or non-existent for two simple reconstruction schemes, and comparison of virtual reality target and reconstructions reveals strong deficiencies. The temporal resolution of the proxies has an influence on the reconstruction task and results are sensitive to the construction of the proxy-network. Existing regional temperature biases can be attenuated or accentuated by the skill of the reconstruction approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
