A reconstruction of global hydroclimate and dynamical variables over the Common Era
Hydroclimate extremes critically affect human and natural systems, but there remain many unanswered questions about their causes and how to interpret their dynamics in the past and in climate change projections. These uncertainties are due, in part, to the lack of long-term, spatially resolved hydro...
Published in: | Scientific Data |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
Nature Publishing Group
2018
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963340/ http://www.ncbi.nlm.nih.gov/pubmed/29786698 https://doi.org/10.1038/sdata.2018.86 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:5963340 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:5963340 2023-05-15T17:33:05+02:00 A reconstruction of global hydroclimate and dynamical variables over the Common Era Steiger, Nathan J. Smerdon, Jason E. Cook, Edward R. Cook, Benjamin I. 2018-05-22 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963340/ http://www.ncbi.nlm.nih.gov/pubmed/29786698 https://doi.org/10.1038/sdata.2018.86 en eng Nature Publishing Group http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963340/ http://www.ncbi.nlm.nih.gov/pubmed/29786698 http://dx.doi.org/10.1038/sdata.2018.86 Copyright © 2018, The Author(s) http://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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. CC-BY CC0 PDM Data Descriptor Text 2018 ftpubmed https://doi.org/10.1038/sdata.2018.86 2018-06-03T00:30:25Z Hydroclimate extremes critically affect human and natural systems, but there remain many unanswered questions about their causes and how to interpret their dynamics in the past and in climate change projections. These uncertainties are due, in part, to the lack of long-term, spatially resolved hydroclimate reconstructions and information on the underlying physical drivers for many regions. Here we present the first global reconstructions of hydroclimate and associated climate dynamical variables over the past two thousand years. We use a data assimilation approach tailored to reconstruct hydroclimate that optimally combines 2,978 paleoclimate proxy-data time series with the physical constraints of an atmosphere—ocean climate model. The global reconstructions are annually or seasonally resolved and include two spatiotemporal drought indices, near-surface air temperature, an index of North Atlantic variability, the location of the intertropical convergence zone, and monthly Niño indices. This database, called the Paleo Hydrodynamics Data Assimilation product (PHYDA), will provide a critical new platform for investigating the causes of past climate variability and extremes, while informing interpretations of future hydroclimate projections. Text North Atlantic PubMed Central (PMC) Scientific Data 5 1 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Data Descriptor |
spellingShingle |
Data Descriptor Steiger, Nathan J. Smerdon, Jason E. Cook, Edward R. Cook, Benjamin I. A reconstruction of global hydroclimate and dynamical variables over the Common Era |
topic_facet |
Data Descriptor |
description |
Hydroclimate extremes critically affect human and natural systems, but there remain many unanswered questions about their causes and how to interpret their dynamics in the past and in climate change projections. These uncertainties are due, in part, to the lack of long-term, spatially resolved hydroclimate reconstructions and information on the underlying physical drivers for many regions. Here we present the first global reconstructions of hydroclimate and associated climate dynamical variables over the past two thousand years. We use a data assimilation approach tailored to reconstruct hydroclimate that optimally combines 2,978 paleoclimate proxy-data time series with the physical constraints of an atmosphere—ocean climate model. The global reconstructions are annually or seasonally resolved and include two spatiotemporal drought indices, near-surface air temperature, an index of North Atlantic variability, the location of the intertropical convergence zone, and monthly Niño indices. This database, called the Paleo Hydrodynamics Data Assimilation product (PHYDA), will provide a critical new platform for investigating the causes of past climate variability and extremes, while informing interpretations of future hydroclimate projections. |
format |
Text |
author |
Steiger, Nathan J. Smerdon, Jason E. Cook, Edward R. Cook, Benjamin I. |
author_facet |
Steiger, Nathan J. Smerdon, Jason E. Cook, Edward R. Cook, Benjamin I. |
author_sort |
Steiger, Nathan J. |
title |
A reconstruction of global hydroclimate and dynamical variables over the Common Era |
title_short |
A reconstruction of global hydroclimate and dynamical variables over the Common Era |
title_full |
A reconstruction of global hydroclimate and dynamical variables over the Common Era |
title_fullStr |
A reconstruction of global hydroclimate and dynamical variables over the Common Era |
title_full_unstemmed |
A reconstruction of global hydroclimate and dynamical variables over the Common Era |
title_sort |
reconstruction of global hydroclimate and dynamical variables over the common era |
publisher |
Nature Publishing Group |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963340/ http://www.ncbi.nlm.nih.gov/pubmed/29786698 https://doi.org/10.1038/sdata.2018.86 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963340/ http://www.ncbi.nlm.nih.gov/pubmed/29786698 http://dx.doi.org/10.1038/sdata.2018.86 |
op_rights |
Copyright © 2018, The Author(s) http://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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
op_rightsnorm |
CC-BY CC0 PDM |
op_doi |
https://doi.org/10.1038/sdata.2018.86 |
container_title |
Scientific Data |
container_volume |
5 |
container_issue |
1 |
_version_ |
1766131461340004352 |