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深时古海洋环流模式计划-始新世-第1阶段:用于始新世气候研究的多模型数据集和交互式网络应用程序。

DeepMIP-Eocene-p1: multi-model dataset and interactive web application for Eocene climate research.

作者信息

Steinig Sebastian, Abe-Ouchi Ayako, de Boer Agatha M, Chan Wing-Le, Donnadieu Yannick, Hutchinson David K, Knorr Gregor, Ladant Jean-Baptiste, Morozova Polina, Niezgodzki Igor, Poulsen Christopher J, Volodin Evgeny M, Zhang Zhongshi, Zhu Jiang, Evans David, Inglis Gordon N, Meckler A Nele, Lunt Daniel J

机构信息

School of Geographical Sciences, University of Bristol, Bristol, UK.

Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan.

出版信息

Sci Data. 2024 Sep 5;11(1):970. doi: 10.1038/s41597-024-03773-4.

Abstract

Paleoclimate model simulations provide reference data to help interpret the geological record and offer a unique opportunity to evaluate the performance of current models under diverse boundary conditions. Here, we present a dataset of 35 climate model simulations of the warm early Eocene Climatic Optimum (EECO; ~ 50 million years ago) and corresponding preindustrial reference experiments. To streamline the use of the data, we apply standardised naming conventions and quality checks across eight modelling groups that have carried out coordinated simulations as part of the Deep-Time Model Intercomparison Project (DeepMIP). Gridded model fields can be downloaded from an online repository or accessed through a new web application that provides interactive data exploration. Local model data can be extracted in CSV format or visualised online for streamlined model-data comparisons. Additionally, processing and visualisation code templates may serve as a starting point for advanced analysis. The dataset and online platform aim to simplify accessing and handling complex data, prevent common processing issues, and facilitate the sharing of climate model data across disciplines.

摘要

古气候模型模拟提供了参考数据,以帮助解释地质记录,并提供了一个独特的机会来评估当前模型在不同边界条件下的性能。在这里,我们展示了一个数据集,其中包含35个关于始新世早期气候适宜期(EECO;约5000万年前)的气候模型模拟以及相应的工业化前参考实验。为了简化数据的使用,我们对八个建模小组应用了标准化的命名约定和质量检查,这些小组作为深时模型相互比较项目(DeepMIP)的一部分进行了协调模拟。网格化的模型字段可以从在线存储库下载,或通过一个提供交互式数据探索的新网络应用程序访问。本地模型数据可以以CSV格式提取或在线可视化,以便简化模型与数据的比较。此外,处理和可视化代码模板可以作为高级分析的起点。该数据集和在线平台旨在简化对复杂数据的访问和处理,防止常见的处理问题,并促进跨学科的气候模型数据共享。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/853a/11377585/6042c21c4a9c/41597_2024_3773_Fig1_HTML.jpg

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