The University of Southampton
University of Southampton Institutional Repository

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

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

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.

2052-4463
Steinig, Sebastian
c43fc419-13cd-45bf-9807-756c76fe1c94
Abe-Ouchi, Ayako
ddd3702e-a587-4c8e-b666-bed53a433315
de Boer, Agatha M.
8b429578-ea0c-495d-8afd-41f09fa86e7b
Chan, Wing Le
6751b582-0340-4b7b-8bda-20a464ac9348
Donnadieu, Yannick
e1c60062-d480-4c86-afc4-f405903e4b22
Hutchinson, David K.
9db108b8-88f0-4c3a-a61b-0af71ab97501
Knorr, Gregor
a526f20c-56f0-4b02-b2d0-d9a9cfcaa65a
Ladant, Jean Baptiste
05b87c2c-a0de-4526-874c-debebcf80e7f
Morozova, Polina
7266446a-4623-4f60-8a5b-83730cecb82e
Niezgodzki, Igor
705e2a35-b72f-4f95-b574-6141fafc40c7
Poulsen, Christopher J.
ded76898-ecb2-415a-9bf1-13b443d3b3e9
Volodin, Evgeny M.
20a1ac31-9b37-4288-89bf-8a4b4216eff4
Zhang, Zhongshi
d462b6a3-7924-4b2f-8cce-9246b4bb374c
Zhu, Jiang
ac20c27b-89fb-4ede-8cf8-c6f55270eacd
Evans, David
878c65c7-eab9-4362-896b-166e165eb94b
Inglis, Gordon N.
1651196d-916c-43cb-b5a0-9b3ecaf5d664
Meckler, A. Nele
66ca3c7a-5177-4418-9d60-b647428957ca
Lunt, Daniel J.
931ecfb5-1f50-412c-8f01-a46d69b1f82f
Steinig, Sebastian
c43fc419-13cd-45bf-9807-756c76fe1c94
Abe-Ouchi, Ayako
ddd3702e-a587-4c8e-b666-bed53a433315
de Boer, Agatha M.
8b429578-ea0c-495d-8afd-41f09fa86e7b
Chan, Wing Le
6751b582-0340-4b7b-8bda-20a464ac9348
Donnadieu, Yannick
e1c60062-d480-4c86-afc4-f405903e4b22
Hutchinson, David K.
9db108b8-88f0-4c3a-a61b-0af71ab97501
Knorr, Gregor
a526f20c-56f0-4b02-b2d0-d9a9cfcaa65a
Ladant, Jean Baptiste
05b87c2c-a0de-4526-874c-debebcf80e7f
Morozova, Polina
7266446a-4623-4f60-8a5b-83730cecb82e
Niezgodzki, Igor
705e2a35-b72f-4f95-b574-6141fafc40c7
Poulsen, Christopher J.
ded76898-ecb2-415a-9bf1-13b443d3b3e9
Volodin, Evgeny M.
20a1ac31-9b37-4288-89bf-8a4b4216eff4
Zhang, Zhongshi
d462b6a3-7924-4b2f-8cce-9246b4bb374c
Zhu, Jiang
ac20c27b-89fb-4ede-8cf8-c6f55270eacd
Evans, David
878c65c7-eab9-4362-896b-166e165eb94b
Inglis, Gordon N.
1651196d-916c-43cb-b5a0-9b3ecaf5d664
Meckler, A. Nele
66ca3c7a-5177-4418-9d60-b647428957ca
Lunt, Daniel J.
931ecfb5-1f50-412c-8f01-a46d69b1f82f

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 and Lunt, Daniel J. (2024) DeepMIP-Eocene-p1: multi-model dataset and interactive web application for Eocene climate research. Scientific Data, 11 (1), [970]. (doi:10.1038/s41597-024-03773-4).

Record type: Article

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.

This record has no associated files available for download.

More information

Published date: 5 September 2024
Additional Information: Publisher Copyright: © The Author(s) 2024.

Identifiers

Local EPrints ID: 502484
URI: http://eprints.soton.ac.uk/id/eprint/502484
ISSN: 2052-4463
PURE UUID: 661e89bb-85da-47ff-a310-f784b14e9339
ORCID for David Evans: ORCID iD orcid.org/0000-0002-8685-671X
ORCID for Gordon N. Inglis: ORCID iD orcid.org/0000-0002-0032-4668

Catalogue record

Date deposited: 26 Jun 2025 17:14
Last modified: 28 Jun 2025 04:05

Export record

Altmetrics

Contributors

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

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×