A daily Azores–Iceland North Atlantic Oscillation index back to 1850

We present the construction of a continuous, daily (09:00 UTC), station‐based (Azores–Iceland) North Atlantic Oscillation (NAO) Index back to 1871 which is extended back to 1850 with additional daily mean data. The constructed index more than doubles the length of previously existing, widely availab...

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Published in:Geoscience Data Journal
Main Authors: Cropper, Thomas, Hanna, Edward, Valente, Maria Antónia, Jónsson, Trausti
Format: Text
Language:English
Published: John Wiley and Sons Inc. 2015
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445555/
https://doi.org/10.1002/gdj3.23
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5445555 2023-05-15T16:46:15+02:00 A daily Azores–Iceland North Atlantic Oscillation index back to 1850 Cropper, Thomas Hanna, Edward Valente, Maria Antónia Jónsson, Trausti 2015-03-27 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445555/ https://doi.org/10.1002/gdj3.23 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445555/ http://dx.doi.org/10.1002/gdj3.23 © 2015 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Data Papers Text 2015 ftpubmed https://doi.org/10.1002/gdj3.23 2017-06-18T00:03:11Z We present the construction of a continuous, daily (09:00 UTC), station‐based (Azores–Iceland) North Atlantic Oscillation (NAO) Index back to 1871 which is extended back to 1850 with additional daily mean data. The constructed index more than doubles the length of previously existing, widely available, daily NAO time series. The index is created using entirely observational sea‐level pressure (SLP) data from Iceland and 73.5% of observational SLP data from the Azores – the remainder being filled in via reanalysis (Twentieth Century Reanalysis Project and European Mean Sea Level Pressure) SLP data. Icelandic data are taken from the Southwest Iceland pressure series. We construct and document a new Ponta Delgada SLP time series based on recently digitized and newly available data that extend back to 1872. The Ponta Delgada time series is created by splicing together several fractured records (from Ponta Delgada, Lajes, and Santa Maria) and filling in the major gaps (pre‐1872, 1888–1905, and 1940–1941) and occasional days (145) with reanalysis data. Further homogeneity corrections are applied to the Azores record, and the daily (09:00 UTC) NAO index is then calculated. The resulting index, with its extended temporal length and daily resolution, is the first reconstruction of daily NAO back into the 19th Century and therefore is useful for researchers across multiple disciplines. Text Iceland North Atlantic North Atlantic oscillation PubMed Central (PMC) Geoscience Data Journal 2 1 12 24
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Data Papers
spellingShingle Data Papers
Cropper, Thomas
Hanna, Edward
Valente, Maria Antónia
Jónsson, Trausti
A daily Azores–Iceland North Atlantic Oscillation index back to 1850
topic_facet Data Papers
description We present the construction of a continuous, daily (09:00 UTC), station‐based (Azores–Iceland) North Atlantic Oscillation (NAO) Index back to 1871 which is extended back to 1850 with additional daily mean data. The constructed index more than doubles the length of previously existing, widely available, daily NAO time series. The index is created using entirely observational sea‐level pressure (SLP) data from Iceland and 73.5% of observational SLP data from the Azores – the remainder being filled in via reanalysis (Twentieth Century Reanalysis Project and European Mean Sea Level Pressure) SLP data. Icelandic data are taken from the Southwest Iceland pressure series. We construct and document a new Ponta Delgada SLP time series based on recently digitized and newly available data that extend back to 1872. The Ponta Delgada time series is created by splicing together several fractured records (from Ponta Delgada, Lajes, and Santa Maria) and filling in the major gaps (pre‐1872, 1888–1905, and 1940–1941) and occasional days (145) with reanalysis data. Further homogeneity corrections are applied to the Azores record, and the daily (09:00 UTC) NAO index is then calculated. The resulting index, with its extended temporal length and daily resolution, is the first reconstruction of daily NAO back into the 19th Century and therefore is useful for researchers across multiple disciplines.
format Text
author Cropper, Thomas
Hanna, Edward
Valente, Maria Antónia
Jónsson, Trausti
author_facet Cropper, Thomas
Hanna, Edward
Valente, Maria Antónia
Jónsson, Trausti
author_sort Cropper, Thomas
title A daily Azores–Iceland North Atlantic Oscillation index back to 1850
title_short A daily Azores–Iceland North Atlantic Oscillation index back to 1850
title_full A daily Azores–Iceland North Atlantic Oscillation index back to 1850
title_fullStr A daily Azores–Iceland North Atlantic Oscillation index back to 1850
title_full_unstemmed A daily Azores–Iceland North Atlantic Oscillation index back to 1850
title_sort daily azores–iceland north atlantic oscillation index back to 1850
publisher John Wiley and Sons Inc.
publishDate 2015
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445555/
https://doi.org/10.1002/gdj3.23
genre Iceland
North Atlantic
North Atlantic oscillation
genre_facet Iceland
North Atlantic
North Atlantic oscillation
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445555/
http://dx.doi.org/10.1002/gdj3.23
op_rights © 2015 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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