An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849
This paper describes a global monthly gridded Sea Surface Temperature (SST) and Sea Ice Concentration (SIC) dataset for the period 1000–1849, which can be used as boundary conditions for atmospheric model simulations. The reconstruction is based on existing coarse-resolution annual temperature ensem...
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ftunivzuerich:oai:www.zora.uzh.ch:210346 2024-06-23T07:56:42+00:00 An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 Samakinwa, Eric Valler, Veronika Hand, Ralf Neukom, Raphael Gómez-Navarro, Juan José Kennedy, John Rayner, Nick A Brönnimann, Stefan 2021-12-01 application/pdf https://www.zora.uzh.ch/id/eprint/210346/ https://www.zora.uzh.ch/id/eprint/210346/1/2021_Neukom_s41597-021-01043-1.pdf https://doi.org/10.5167/uzh-210346 https://doi.org/10.1038/s41597-021-01043-1 eng eng Nature Publishing Group https://www.zora.uzh.ch/id/eprint/210346/1/2021_Neukom_s41597-021-01043-1.pdf doi:10.5167/uzh-210346 doi:10.1038/s41597-021-01043-1 urn:issn:2052-4463 info:eu-repo/semantics/openAccess Creative Commons: Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/ Samakinwa, Eric; Valler, Veronika; Hand, Ralf; Neukom, Raphael; Gómez-Navarro, Juan José; Kennedy, John; Rayner, Nick A; Brönnimann, Stefan (2021). An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849. Scientific Data, 8(1):261. Institute of Geography 910 Geography & travel Library and Information Sciences Statistics Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability Journal Article PeerReviewed info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftunivzuerich https://doi.org/10.5167/uzh-21034610.1038/s41597-021-01043-1 2024-05-29T01:11:41Z This paper describes a global monthly gridded Sea Surface Temperature (SST) and Sea Ice Concentration (SIC) dataset for the period 1000–1849, which can be used as boundary conditions for atmospheric model simulations. The reconstruction is based on existing coarse-resolution annual temperature ensemble reconstructions, which are then augmented with intra-annual and sub-grid scale variability. The intra-annual component of HadISST.2.0 and oceanic indices estimated from the reconstructed annual mean are used to develop grid-based linear regressions in a monthly stratified approach. Similarly, we reconstruct SIC using analog resampling of HadISST.2.0 SIC (1941–2000), for both hemispheres. Analogs are pooled in four seasons, comprising of 3-months each. The best analogs are selected based on the correlation between each member of the reconstructed SST and its target. For the period 1780 to 1849, We assimilate historical observations of SST and night-time marine air temperature from the ICOADS dataset into our reconstruction using an offline Ensemble Kalman Filter approach. The resulting dataset is physically consistent with information from models, proxies, and observations. Article in Journal/Newspaper Sea ice University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
institution |
Open Polar |
collection |
University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
op_collection_id |
ftunivzuerich |
language |
English |
topic |
Institute of Geography 910 Geography & travel Library and Information Sciences Statistics Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability |
spellingShingle |
Institute of Geography 910 Geography & travel Library and Information Sciences Statistics Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability Samakinwa, Eric Valler, Veronika Hand, Ralf Neukom, Raphael Gómez-Navarro, Juan José Kennedy, John Rayner, Nick A Brönnimann, Stefan An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
topic_facet |
Institute of Geography 910 Geography & travel Library and Information Sciences Statistics Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability |
description |
This paper describes a global monthly gridded Sea Surface Temperature (SST) and Sea Ice Concentration (SIC) dataset for the period 1000–1849, which can be used as boundary conditions for atmospheric model simulations. The reconstruction is based on existing coarse-resolution annual temperature ensemble reconstructions, which are then augmented with intra-annual and sub-grid scale variability. The intra-annual component of HadISST.2.0 and oceanic indices estimated from the reconstructed annual mean are used to develop grid-based linear regressions in a monthly stratified approach. Similarly, we reconstruct SIC using analog resampling of HadISST.2.0 SIC (1941–2000), for both hemispheres. Analogs are pooled in four seasons, comprising of 3-months each. The best analogs are selected based on the correlation between each member of the reconstructed SST and its target. For the period 1780 to 1849, We assimilate historical observations of SST and night-time marine air temperature from the ICOADS dataset into our reconstruction using an offline Ensemble Kalman Filter approach. The resulting dataset is physically consistent with information from models, proxies, and observations. |
format |
Article in Journal/Newspaper |
author |
Samakinwa, Eric Valler, Veronika Hand, Ralf Neukom, Raphael Gómez-Navarro, Juan José Kennedy, John Rayner, Nick A Brönnimann, Stefan |
author_facet |
Samakinwa, Eric Valler, Veronika Hand, Ralf Neukom, Raphael Gómez-Navarro, Juan José Kennedy, John Rayner, Nick A Brönnimann, Stefan |
author_sort |
Samakinwa, Eric |
title |
An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
title_short |
An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
title_full |
An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
title_fullStr |
An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
title_full_unstemmed |
An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
title_sort |
ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 |
publisher |
Nature Publishing Group |
publishDate |
2021 |
url |
https://www.zora.uzh.ch/id/eprint/210346/ https://www.zora.uzh.ch/id/eprint/210346/1/2021_Neukom_s41597-021-01043-1.pdf https://doi.org/10.5167/uzh-210346 https://doi.org/10.1038/s41597-021-01043-1 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Samakinwa, Eric; Valler, Veronika; Hand, Ralf; Neukom, Raphael; Gómez-Navarro, Juan José; Kennedy, John; Rayner, Nick A; Brönnimann, Stefan (2021). An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849. Scientific Data, 8(1):261. |
op_relation |
https://www.zora.uzh.ch/id/eprint/210346/1/2021_Neukom_s41597-021-01043-1.pdf doi:10.5167/uzh-210346 doi:10.1038/s41597-021-01043-1 urn:issn:2052-4463 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons: Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.5167/uzh-21034610.1038/s41597-021-01043-1 |
_version_ |
1802649988165009408 |