Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China

ABSTRACT Changes in maximum and minimum temperature ( T max and T min ) are analysed to assess the regional extent of global warming in Xinjiang autonomous region, China, for the period of 1961–2015. Two nonlinear, non‐stationary signal‐processing methods – the Bernaola‐Galván algorithm and the ense...

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Published in:International Journal of Climatology
Main Authors: Tao, Hui, Fischer, Thomas, Su, Buda, Mao, Weiyi, Jiang, Tong, Fraedrich, Klaus
Other Authors: National Natural Science Foundation of China
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2017
Subjects:
Online Access:http://dx.doi.org/10.1002/joc.5149
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spelling crwiley:10.1002/joc.5149 2024-06-02T08:07:35+00:00 Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China Tao, Hui Fischer, Thomas Su, Buda Mao, Weiyi Jiang, Tong Fraedrich, Klaus National Natural Science Foundation of China 2017 http://dx.doi.org/10.1002/joc.5149 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.5149 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5149 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 37, issue 15, page 5120-5128 ISSN 0899-8418 1097-0088 journal-article 2017 crwiley https://doi.org/10.1002/joc.5149 2024-05-03T10:46:38Z ABSTRACT Changes in maximum and minimum temperature ( T max and T min ) are analysed to assess the regional extent of global warming in Xinjiang autonomous region, China, for the period of 1961–2015. Two nonlinear, non‐stationary signal‐processing methods – the Bernaola‐Galván algorithm and the ensemble empirical mode decomposition method – are applied on daily time series of observations from 53 meteorological stations. Statistically significant abrupt change points are identified in 1996 in both annual T max and T min time series averaged for the whole province, while another one is identified in 1976 in the annual T min time series only. At local scale, most stations experience one abrupt change point in annual T max in the 1990s, but two or three change points in annual T min , mainly in the 1980s and 1990s. After the abrupt change points, the frequency and probability density of T max in summer and T min in winter are skewed towards the hotter part of the probability distribution. It is found that the hot temperature extremes in summer occur concurrently with El Niño events. Further results suggest that anomalies in geopotential height at 500 hPa can be associated with the hottest and coldest months. The key regions of the anomalies are over the east of the Ural Mountains and the North Atlantic, while the geopotential height anomalies over Greenland and the east of the Ural Mountains are closely related to the hot and cold spells. Article in Journal/Newspaper Greenland North Atlantic Wiley Online Library Greenland International Journal of Climatology 37 15 5120 5128
institution Open Polar
collection Wiley Online Library
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language English
description ABSTRACT Changes in maximum and minimum temperature ( T max and T min ) are analysed to assess the regional extent of global warming in Xinjiang autonomous region, China, for the period of 1961–2015. Two nonlinear, non‐stationary signal‐processing methods – the Bernaola‐Galván algorithm and the ensemble empirical mode decomposition method – are applied on daily time series of observations from 53 meteorological stations. Statistically significant abrupt change points are identified in 1996 in both annual T max and T min time series averaged for the whole province, while another one is identified in 1976 in the annual T min time series only. At local scale, most stations experience one abrupt change point in annual T max in the 1990s, but two or three change points in annual T min , mainly in the 1980s and 1990s. After the abrupt change points, the frequency and probability density of T max in summer and T min in winter are skewed towards the hotter part of the probability distribution. It is found that the hot temperature extremes in summer occur concurrently with El Niño events. Further results suggest that anomalies in geopotential height at 500 hPa can be associated with the hottest and coldest months. The key regions of the anomalies are over the east of the Ural Mountains and the North Atlantic, while the geopotential height anomalies over Greenland and the east of the Ural Mountains are closely related to the hot and cold spells.
author2 National Natural Science Foundation of China
format Article in Journal/Newspaper
author Tao, Hui
Fischer, Thomas
Su, Buda
Mao, Weiyi
Jiang, Tong
Fraedrich, Klaus
spellingShingle Tao, Hui
Fischer, Thomas
Su, Buda
Mao, Weiyi
Jiang, Tong
Fraedrich, Klaus
Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China
author_facet Tao, Hui
Fischer, Thomas
Su, Buda
Mao, Weiyi
Jiang, Tong
Fraedrich, Klaus
author_sort Tao, Hui
title Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China
title_short Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China
title_full Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China
title_fullStr Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China
title_full_unstemmed Observed changes in maximum and minimum temperatures in Xinjiang autonomous region, China
title_sort observed changes in maximum and minimum temperatures in xinjiang autonomous region, china
publisher Wiley
publishDate 2017
url http://dx.doi.org/10.1002/joc.5149
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.5149
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5149
geographic Greenland
geographic_facet Greenland
genre Greenland
North Atlantic
genre_facet Greenland
North Atlantic
op_source International Journal of Climatology
volume 37, issue 15, page 5120-5128
ISSN 0899-8418 1097-0088
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/joc.5149
container_title International Journal of Climatology
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