Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China

A wavelet analysis is conducted to investigate daily variability (DV, timescales of less than 3 days), weekly (weather) variability (WV, timescales of 5 days up to 2 months), and seasonal variability (SV, timescales of 8 to 17 months) in five temperature series from Europe and China and two westerly...

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Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Yan, Zhongwei, Jones, Philip D., Moberg, Anders, Bergström, Hans, Davies, Trevor D., Yang, Chi
Format: Article in Journal/Newspaper
Language:unknown
Published: 2001
Subjects:
Online Access:https://ueaeprints.uea.ac.uk/id/eprint/34006/
https://doi.org/10.1029/2000JD900705
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spelling ftuniveastangl:oai:ueaeprints.uea.ac.uk:34006 2023-05-15T17:35:22+02:00 Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China Yan, Zhongwei Jones, Philip D. Moberg, Anders Bergström, Hans Davies, Trevor D. Yang, Chi 2001 https://ueaeprints.uea.ac.uk/id/eprint/34006/ https://doi.org/10.1029/2000JD900705 unknown Yan, Zhongwei, Jones, Philip D., Moberg, Anders, Bergström, Hans, Davies, Trevor D. and Yang, Chi (2001) Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China. Journal of Geophysical Research, 106 (D6). pp. 5123-5138. ISSN 0148-0227 doi:10.1029/2000JD900705 Article PeerReviewed 2001 ftuniveastangl https://doi.org/10.1029/2000JD900705 2023-03-23T23:31:48Z A wavelet analysis is conducted to investigate daily variability (DV, timescales of less than 3 days), weekly (weather) variability (WV, timescales of 5 days up to 2 months), and seasonal variability (SV, timescales of 8 to 17 months) in five temperature series from Europe and China and two westerly indices for the European/North Atlantic sector back to the 18th century. DV exhibits local features so that it is sensitive to any inhomogeneity in each series. Analysis of DV shows the potential for further homogenization of the data and suggests that for the present study, daily series are only truly homogeneous back to the 19th century. WV is responsible for extremes of large-scale cold/warm variations in the daily series and explains about 80% of the total variance. WV is found to be significantly weaker in northern Europe by 7-10% during warming periods, especially for winter and autumn, but summer temperature correlates positively with WV, with a maximum coefficient of 0.52 for central England. This indicates that for warming periods, WV is reduced in the cold season, but is potentially increased in the warm season. The principal timescale of weather, about 16 days in Europe and 11 days in China, does not exhibit significant trends. Changes in SV from cold to warm periods often result in weaker seasonal cycles, with an unprecedented reduction of up to 3°C at St. Petersburg during the warm period since 1988. The analysis of the westerly indices supports the recent unusually anomalous seasonal cycles, with stronger winter westerlies over the northern Atlantic and Europe. The trends in WV of the westerly indices coincide with the temperature data, implying they are responsible for the large-scale changes over northern Europe. Article in Journal/Newspaper North Atlantic University of East Anglia: UEA Digital Repository Journal of Geophysical Research: Atmospheres 106 D6 5123 5138
institution Open Polar
collection University of East Anglia: UEA Digital Repository
op_collection_id ftuniveastangl
language unknown
description A wavelet analysis is conducted to investigate daily variability (DV, timescales of less than 3 days), weekly (weather) variability (WV, timescales of 5 days up to 2 months), and seasonal variability (SV, timescales of 8 to 17 months) in five temperature series from Europe and China and two westerly indices for the European/North Atlantic sector back to the 18th century. DV exhibits local features so that it is sensitive to any inhomogeneity in each series. Analysis of DV shows the potential for further homogenization of the data and suggests that for the present study, daily series are only truly homogeneous back to the 19th century. WV is responsible for extremes of large-scale cold/warm variations in the daily series and explains about 80% of the total variance. WV is found to be significantly weaker in northern Europe by 7-10% during warming periods, especially for winter and autumn, but summer temperature correlates positively with WV, with a maximum coefficient of 0.52 for central England. This indicates that for warming periods, WV is reduced in the cold season, but is potentially increased in the warm season. The principal timescale of weather, about 16 days in Europe and 11 days in China, does not exhibit significant trends. Changes in SV from cold to warm periods often result in weaker seasonal cycles, with an unprecedented reduction of up to 3°C at St. Petersburg during the warm period since 1988. The analysis of the westerly indices supports the recent unusually anomalous seasonal cycles, with stronger winter westerlies over the northern Atlantic and Europe. The trends in WV of the westerly indices coincide with the temperature data, implying they are responsible for the large-scale changes over northern Europe.
format Article in Journal/Newspaper
author Yan, Zhongwei
Jones, Philip D.
Moberg, Anders
Bergström, Hans
Davies, Trevor D.
Yang, Chi
spellingShingle Yan, Zhongwei
Jones, Philip D.
Moberg, Anders
Bergström, Hans
Davies, Trevor D.
Yang, Chi
Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China
author_facet Yan, Zhongwei
Jones, Philip D.
Moberg, Anders
Bergström, Hans
Davies, Trevor D.
Yang, Chi
author_sort Yan, Zhongwei
title Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China
title_short Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China
title_full Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China
title_fullStr Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China
title_full_unstemmed Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China
title_sort recent trends in weather and seasonal cycles: an analysis of daily data from europe and china
publishDate 2001
url https://ueaeprints.uea.ac.uk/id/eprint/34006/
https://doi.org/10.1029/2000JD900705
genre North Atlantic
genre_facet North Atlantic
op_relation Yan, Zhongwei, Jones, Philip D., Moberg, Anders, Bergström, Hans, Davies, Trevor D. and Yang, Chi (2001) Recent trends in weather and seasonal cycles: An analysis of daily data from Europe and China. Journal of Geophysical Research, 106 (D6). pp. 5123-5138. ISSN 0148-0227
doi:10.1029/2000JD900705
op_doi https://doi.org/10.1029/2000JD900705
container_title Journal of Geophysical Research: Atmospheres
container_volume 106
container_issue D6
container_start_page 5123
op_container_end_page 5138
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