Scientific Data (Sep 2024)

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

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

DOI
https://doi.org/10.1038/s41597-024-03773-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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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.