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...
Published in: | Journal of Geophysical Research: Atmospheres |
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2001
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Online Access: | https://ueaeprints.uea.ac.uk/id/eprint/34006/ https://doi.org/10.1029/2000JD900705 |
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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 |
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Open Polar |
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University of East Anglia: UEA Digital Repository |
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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 |
_version_ |
1766134504304410624 |