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A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models
Paleoclimate reconstructions are now integral to climate assessments, yet the consequences of using different methodologies and proxy data require rigorous benchmarking. Pseudoproxy experiments (PPEs) provide a tractable and transparent test bed for evaluating climate reconstruction methods and thei...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502095/ https://www.ncbi.nlm.nih.gov/pubmed/37709805 http://dx.doi.org/10.1038/s41597-023-02489-1 |
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author | Zhu, Feng Emile-Geay, Julien Anchukaitis, Kevin J. McKay, Nicholas P. Stevenson, Samantha Meng, Zilu |
author_facet | Zhu, Feng Emile-Geay, Julien Anchukaitis, Kevin J. McKay, Nicholas P. Stevenson, Samantha Meng, Zilu |
author_sort | Zhu, Feng |
collection | PubMed |
description | Paleoclimate reconstructions are now integral to climate assessments, yet the consequences of using different methodologies and proxy data require rigorous benchmarking. Pseudoproxy experiments (PPEs) provide a tractable and transparent test bed for evaluating climate reconstruction methods and their sensitivity to aspects of real-world proxy networks. Here we develop a dataset that leverages proxy system models (PSMs) for this purpose, which emulates the essential physical, chemical, biological, and geological processes that translate climate signals into proxy records, making these synthetic proxies more relevant to the real world. We apply a suite of PSMs to emulate the widely-used PAGES 2k dataset, including realistic spatiotemporal sampling and error structure. A hierarchical approach allows us to produce many variants of this base dataset, isolating the impact of sampling bias in time and space, representation error, sampling error, and other assumptions. Combining these various experiments produces a rich dataset (“pseudoPAGES2k”) for many applications. As an illustration, we show how to conduct a PPE with this dataset based on emerging climate field reconstruction techniques. |
format | Online Article Text |
id | pubmed-10502095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105020952023-09-16 A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models Zhu, Feng Emile-Geay, Julien Anchukaitis, Kevin J. McKay, Nicholas P. Stevenson, Samantha Meng, Zilu Sci Data Data Descriptor Paleoclimate reconstructions are now integral to climate assessments, yet the consequences of using different methodologies and proxy data require rigorous benchmarking. Pseudoproxy experiments (PPEs) provide a tractable and transparent test bed for evaluating climate reconstruction methods and their sensitivity to aspects of real-world proxy networks. Here we develop a dataset that leverages proxy system models (PSMs) for this purpose, which emulates the essential physical, chemical, biological, and geological processes that translate climate signals into proxy records, making these synthetic proxies more relevant to the real world. We apply a suite of PSMs to emulate the widely-used PAGES 2k dataset, including realistic spatiotemporal sampling and error structure. A hierarchical approach allows us to produce many variants of this base dataset, isolating the impact of sampling bias in time and space, representation error, sampling error, and other assumptions. Combining these various experiments produces a rich dataset (“pseudoPAGES2k”) for many applications. As an illustration, we show how to conduct a PPE with this dataset based on emerging climate field reconstruction techniques. Nature Publishing Group UK 2023-09-14 /pmc/articles/PMC10502095/ /pubmed/37709805 http://dx.doi.org/10.1038/s41597-023-02489-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Zhu, Feng Emile-Geay, Julien Anchukaitis, Kevin J. McKay, Nicholas P. Stevenson, Samantha Meng, Zilu A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models |
title | A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models |
title_full | A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models |
title_fullStr | A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models |
title_full_unstemmed | A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models |
title_short | A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models |
title_sort | pseudoproxy emulation of the pages 2k database using a hierarchy of proxy system models |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502095/ https://www.ncbi.nlm.nih.gov/pubmed/37709805 http://dx.doi.org/10.1038/s41597-023-02489-1 |
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