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Integrating palaeoclimate time series with rich metadata for uncertainty modelling strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis

机译:将古藏时间序列与丰富的元数据集成,以进行不确定性建模策略和Palmod 130k海洋古古世纪数据综合的文献

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Palaeoclimate data hold the unique promise of providing a long-termperspective on climate change and as such can serve as an importantbenchmark for climate models. However, palaeoclimate data have generallybeen archived with insufficient standardisation and metadata to allow fortransparent and consistent uncertainty assessment in an automated way.Thanks to improved computation capacity, transient palaeoclimate simulationsare now possible, calling for data products containing multi-parameter timeseries rather than information on a single parameter for a single timeslice. Efforts are underway to simulate a complete glacial–interglacialcycle using general circulation models (https://www.palmod.de/, last access: 6?May?2020), and to confront thesesimulations with palaeoclimate data, we have compiled a multi-parametermarine palaeoclimate data synthesis that contains time series spanning 0 to130 000?years ago. We present the first version of the data product thatfocuses exclusively on time series for which a robust chronology based onbenthic foraminifera δ ~(18)O and radiocarbon dating is available.The product contains 896 time series of eight palaeoclimate parameters from143 individual sites, each associated with rich metadata, age–depth modelensembles, and information to refine and update the chronologies. Thisversion contains 205 time series of benthic foraminifera δ ~(18)O;169 of benthic foraminifera δ ~(13)C; 131 of seawater temperature;174 and 119 of planktonic foraminifera δ ~(18)O and δ ~(13)C; and 44, 38 and 16 of carbonate, organic carbon and biogenic silicacontent, respectively. The data product is available in three formats (R,LiPD and netCDF) facilitating use across different software and operatingsystems and can be downloaded at https://doi.org/10.1594/PANGAEA.908831 (Jonkers et al., 2019). Thisdata descriptor presents our data synthesis strategy and describes thecontents and format of the data product in detail. It ends with a set ofrecommendations for data archiving.
机译:古怪的数据掌握了在气候变化方面提供长期指令的独特承诺,因此可以作为气候模型的重要途径。然而,古爱罗长数据通常被存档,标准化和元数据不足,以允许以自动化方式进行透露性和一致的不确定性评估。谢谢以提高计算能力,现在可能呼吁含有多参数的数据产品而不是有关的数据产品。单个时隙的单个参数。正在努力使用一般循环模型模拟完整的冰川中间卷发(https://www.palmod.de/,上次访问:6?5月?2020),并用古典气候数据对象,我们编译了多个ParameterMarine古典数据合成,包含时间序列,跨越0到130 000?年前。我们专门针对时间序列提供了第一个数据产品的数据产品,其中序列是基于的那种基于的on engonic foraminifera Δ〜(18)o和radiocarbon约会的时间。产品包含896次八个古典气候参数从143个单独的网站,每个与丰富的元数据相关联,年龄深度模型和信息,以改进和更新时间顺序。该转化率含有205次膨润的foraminifera δ〜(18)O; 169个底栖面虫δ〜(13)c;海水温度的131;浮游动物的174和119 aminifera δ〜(18)o和δ〜(13)c;碳酸酯,有机碳和生物硅酸盐的44,38和16分别。数据产品有三种格式(R,LIPD和NetCDF)有助于在不同的软件和操作系统上使用,可以在HTTPS://do.org/10.1594/Pangaea.908831(Jonkers等,2019)下载。此Data描述符介绍了我们的数据综合策略,并详细描述了数据产品的字段和格式。它以ALECECHINGS为止,用于数据存档。

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