Data Descriptor: A monthly global paleo-reanalysis of the atmosphere from 1600 to 2005 for studying past climat ic variat ions
Data Descriptor: A monthly global paleo-reanalysis of the atmosphere from 1600 to 2005 for studying past climat ic variat ions
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数据描述符：每月对 1600 年至 2005 年全球大气进行古再分析，用于研究过去的气候变化
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Y. Brugnara
中科院分区：
文献类型：
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作者：
J. Franke;S. Brönnimann;J. Bhend;Y. Brugnara
十年尺度的气候变化，例如加速变暖或弱季风阶段，对社会和经济产生深远影响。研究这些变化需要对过去的洞察。然而，当前的大多数重建提供了区域表面气候的时间序列或场，这限制了我们对潜在动态的理解。在这里，我们提出了涵盖 1600 年至 2005 年期间的第一次每月古再分析。在陆地上，仪器温度和表面压力观测、来自历史文献的温度指数和气候敏感的树木年轮测量被使用卡尔曼滤波技术同化到大气环流模型集合中。该数据集结合了传统重建方法的优点（尽可能接近观测结果）和气候模型的优点（物理上一致并具有有关各种变量和所有时间点的大气状态的 3 维信息）。与大多数统计重建相反，百年变率源于气候模型及其强迫，没有做出平稳性假设，也没有提供误差估计。
Climatic variations at decadal scales such as phases of accelerated warming or weak monsoons have profound effects on society and economy. Studying these variations requires insights from the past. However, most current reconstructions provide either time seriesor fieldsof regional surface climate, which limit our understanding of the underlying dynamics. Here, we present the first monthly paleo-reanalysis covering the period 1600 to 2005. Over land, instrumental temperature and surface pressure observations, temperature indices derived from historical documents and climate sensitive tree-ring measurements were assimilated into an atmospheric general circulation model ensemble using a Kalman filtering technique. This data set combines the advantage of traditional reconstruction methodsof being as close as possible to observations with the advantage of climate models of being physically consistent and having 3-dimensional information about the state of the atmosphere for various variables and at all points in time. In contrast to most statistical reconstructions, centennial variability stems from the climate model and its forcings, no stationarity assumptions are made and error estimates are provided.
DOI：
10.1073/pnas.1211485110
发表时间：
2013-01-29
影响因子：
11.1
作者：
Buentgen, Ulf;Kyncl, Tomas;Kyncl, Josef
通讯作者：
Kyncl, Josef