Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America

Abstract Instrumental weather records (1880–2020s) from eastern North America were analyzed to characterize the regional patterns and drivers of seasonal extreme weather (snow, rain, high and low temperatures). Using agglomerative hierarchical clustering of extreme weather data, the region was divid...

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Published in:Earth and Space Science
Main Authors: C. R. Walsh, R. T. Patterson
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2022
Subjects:
Online Access:https://doi.org/10.1029/2022EA002359
https://doaj.org/article/0a30f4dfb748478881090f63c8a57164
id ftdoajarticles:oai:doaj.org/article:0a30f4dfb748478881090f63c8a57164
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spelling ftdoajarticles:oai:doaj.org/article:0a30f4dfb748478881090f63c8a57164 2023-05-15T15:12:47+02:00 Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America C. R. Walsh R. T. Patterson 2022-07-01T00:00:00Z https://doi.org/10.1029/2022EA002359 https://doaj.org/article/0a30f4dfb748478881090f63c8a57164 EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2022EA002359 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2022EA002359 https://doaj.org/article/0a30f4dfb748478881090f63c8a57164 Earth and Space Science, Vol 9, Iss 7, Pp n/a-n/a (2022) climate change eastern North America time series analysis extreme weather climate oscillations Astronomy QB1-991 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.1029/2022EA002359 2022-12-31T01:57:13Z Abstract Instrumental weather records (1880–2020s) from eastern North America were analyzed to characterize the regional patterns and drivers of seasonal extreme weather (snow, rain, high and low temperatures). Using agglomerative hierarchical clustering of extreme weather data, the region was divided into three subregions that are influenced by coastal‐marine gradients and latitudinal factors. Subsequent analyses were performed on high‐quality stations from each subregion and results compared between one another. Long‐term locally weighted linear regressions delineated long‐term changes in extreme weather, and a combination of spectral analysis, continuous wavelet transforms, and cross wavelet transforms were used to identify periodic components in the data. Regional extreme weather is generally periodic, composed of interannual to interdecadal‐scale oscillations and driven by several natural climatic oscillations. The most important such oscillation is the 11‐year Schwabe Solar Cycle, which has a strong and continuous effect on regional extreme weather. The Pacific Decadal Oscillation and Quasi Biennial Oscillation also show considerable influence, but intermittently. The El Niño Southern Oscillation, the Arctic Oscillation, and the North Atlantic Oscillation all have a weaker but interrelated influence. While the Atlantic Multidecadal Oscillation showed the weakest overall influence on regional extreme weather, it demonstrated a clear spatial gradient across the region, unlike the aforementioned oscillations. Long‐term changes in regional extreme weather are not generally important, in that a sustained increase or decrease in extreme weather events is not usually characteristic of the weather records. The primary exception to this result is for extreme minimum temperature events, whose frequency has slightly decreased since the 1880s. Article in Journal/Newspaper Arctic Climate change North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Arctic Pacific Earth and Space Science 9 7
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic climate change
eastern North America
time series analysis
extreme weather
climate oscillations
Astronomy
QB1-991
Geology
QE1-996.5
spellingShingle climate change
eastern North America
time series analysis
extreme weather
climate oscillations
Astronomy
QB1-991
Geology
QE1-996.5
C. R. Walsh
R. T. Patterson
Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
topic_facet climate change
eastern North America
time series analysis
extreme weather
climate oscillations
Astronomy
QB1-991
Geology
QE1-996.5
description Abstract Instrumental weather records (1880–2020s) from eastern North America were analyzed to characterize the regional patterns and drivers of seasonal extreme weather (snow, rain, high and low temperatures). Using agglomerative hierarchical clustering of extreme weather data, the region was divided into three subregions that are influenced by coastal‐marine gradients and latitudinal factors. Subsequent analyses were performed on high‐quality stations from each subregion and results compared between one another. Long‐term locally weighted linear regressions delineated long‐term changes in extreme weather, and a combination of spectral analysis, continuous wavelet transforms, and cross wavelet transforms were used to identify periodic components in the data. Regional extreme weather is generally periodic, composed of interannual to interdecadal‐scale oscillations and driven by several natural climatic oscillations. The most important such oscillation is the 11‐year Schwabe Solar Cycle, which has a strong and continuous effect on regional extreme weather. The Pacific Decadal Oscillation and Quasi Biennial Oscillation also show considerable influence, but intermittently. The El Niño Southern Oscillation, the Arctic Oscillation, and the North Atlantic Oscillation all have a weaker but interrelated influence. While the Atlantic Multidecadal Oscillation showed the weakest overall influence on regional extreme weather, it demonstrated a clear spatial gradient across the region, unlike the aforementioned oscillations. Long‐term changes in regional extreme weather are not generally important, in that a sustained increase or decrease in extreme weather events is not usually characteristic of the weather records. The primary exception to this result is for extreme minimum temperature events, whose frequency has slightly decreased since the 1880s.
format Article in Journal/Newspaper
author C. R. Walsh
R. T. Patterson
author_facet C. R. Walsh
R. T. Patterson
author_sort C. R. Walsh
title Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
title_short Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
title_full Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
title_fullStr Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
title_full_unstemmed Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
title_sort attribution of observed periodicity in extreme weather events in eastern north america
publisher American Geophysical Union (AGU)
publishDate 2022
url https://doi.org/10.1029/2022EA002359
https://doaj.org/article/0a30f4dfb748478881090f63c8a57164
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
Climate change
North Atlantic
North Atlantic oscillation
genre_facet Arctic
Climate change
North Atlantic
North Atlantic oscillation
op_source Earth and Space Science, Vol 9, Iss 7, Pp n/a-n/a (2022)
op_relation https://doi.org/10.1029/2022EA002359
https://doaj.org/toc/2333-5084
2333-5084
doi:10.1029/2022EA002359
https://doaj.org/article/0a30f4dfb748478881090f63c8a57164
op_doi https://doi.org/10.1029/2022EA002359
container_title Earth and Space Science
container_volume 9
container_issue 7
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