Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020
Based on the observed data of precipitation and air temperature in Northern Shaanxi during 1960–2020, the characteristics of precipitation and air temperature at multiple time scales in Northern Shaanxi were analyzed by using CEEMDAN (Adaptive Complete Set Empirical Model) and back propagation neura...
Published in: | Journal of Risk Analysis and Crisis Response |
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Society for Risk Analysis - China
2021
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Online Access: | https://doi.org/10.2991/jracr.k.210430.001 https://doaj.org/article/80dffd2fe7d94e47a4203c7332607a6c |
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ftdoajarticles:oai:doaj.org/article:80dffd2fe7d94e47a4203c7332607a6c 2023-05-15T15:06:08+02:00 Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 Si Wen Xue Zhou Qi 2021-05-01T00:00:00Z https://doi.org/10.2991/jracr.k.210430.001 https://doaj.org/article/80dffd2fe7d94e47a4203c7332607a6c EN eng Society for Risk Analysis - China https://www.atlantis-press.com/article/125956325/view https://doaj.org/toc/2210-8505 doi:10.2991/jracr.k.210430.001 125956325 2210-8505 https://doaj.org/article/80dffd2fe7d94e47a4203c7332607a6c Journal of Risk Analysis and Crisis Response (JRACR), Vol 11, Iss 2 (2021) CEEMDAN method wavelet analysis BP neural network multi-scale Northern Shaanxi climate Engineering (General). Civil engineering (General) TA1-2040 Risk in industry. Risk management HD61 article 2021 ftdoajarticles https://doi.org/10.2991/jracr.k.210430.001 2022-12-30T23:18:37Z Based on the observed data of precipitation and air temperature in Northern Shaanxi during 1960–2020, the characteristics of precipitation and air temperature at multiple time scales in Northern Shaanxi were analyzed by using CEEMDAN (Adaptive Complete Set Empirical Model) and back propagation neural network time series model. At the same time, the cross-wavelet and wavelet coherence methods were used to explore the factors affecting climate change in Northern Shaanxi. The results show that there are certain rules of precipitation and temperature in the decadal, interannual, seasonal and monthly scales in Northern Shaanxi. The interdecadal fluctuations of precipitation and temperature were dominant, and the periods were about 12–23 years and 13–21.1 years, respectively. According to the analysis of trend term, in addition to the stable fluctuation of precipitation in Northern Shaanxi, the temperature showed a fluctuating upward trend. Arctic oscillation index, Pacific decadal oscillation index, Niño 3.4 Region sea surface temperatures index and relative number of sunspots all have a certain influence on the climate change in Northern Shaanxi. Article in Journal/Newspaper Arctic Climate change Directory of Open Access Journals: DOAJ Articles Arctic Pacific Journal of Risk Analysis and Crisis Response 11 2 75 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
CEEMDAN method wavelet analysis BP neural network multi-scale Northern Shaanxi climate Engineering (General). Civil engineering (General) TA1-2040 Risk in industry. Risk management HD61 |
spellingShingle |
CEEMDAN method wavelet analysis BP neural network multi-scale Northern Shaanxi climate Engineering (General). Civil engineering (General) TA1-2040 Risk in industry. Risk management HD61 Si Wen Xue Zhou Qi Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 |
topic_facet |
CEEMDAN method wavelet analysis BP neural network multi-scale Northern Shaanxi climate Engineering (General). Civil engineering (General) TA1-2040 Risk in industry. Risk management HD61 |
description |
Based on the observed data of precipitation and air temperature in Northern Shaanxi during 1960–2020, the characteristics of precipitation and air temperature at multiple time scales in Northern Shaanxi were analyzed by using CEEMDAN (Adaptive Complete Set Empirical Model) and back propagation neural network time series model. At the same time, the cross-wavelet and wavelet coherence methods were used to explore the factors affecting climate change in Northern Shaanxi. The results show that there are certain rules of precipitation and temperature in the decadal, interannual, seasonal and monthly scales in Northern Shaanxi. The interdecadal fluctuations of precipitation and temperature were dominant, and the periods were about 12–23 years and 13–21.1 years, respectively. According to the analysis of trend term, in addition to the stable fluctuation of precipitation in Northern Shaanxi, the temperature showed a fluctuating upward trend. Arctic oscillation index, Pacific decadal oscillation index, Niño 3.4 Region sea surface temperatures index and relative number of sunspots all have a certain influence on the climate change in Northern Shaanxi. |
format |
Article in Journal/Newspaper |
author |
Si Wen Xue Zhou Qi |
author_facet |
Si Wen Xue Zhou Qi |
author_sort |
Si Wen Xue |
title |
Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 |
title_short |
Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 |
title_full |
Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 |
title_fullStr |
Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 |
title_full_unstemmed |
Multi-Scale Climate Change and Its Influencing Factors in Northern Shaanxi during 1960–2020 |
title_sort |
multi-scale climate change and its influencing factors in northern shaanxi during 1960–2020 |
publisher |
Society for Risk Analysis - China |
publishDate |
2021 |
url |
https://doi.org/10.2991/jracr.k.210430.001 https://doaj.org/article/80dffd2fe7d94e47a4203c7332607a6c |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Journal of Risk Analysis and Crisis Response (JRACR), Vol 11, Iss 2 (2021) |
op_relation |
https://www.atlantis-press.com/article/125956325/view https://doaj.org/toc/2210-8505 doi:10.2991/jracr.k.210430.001 125956325 2210-8505 https://doaj.org/article/80dffd2fe7d94e47a4203c7332607a6c |
op_doi |
https://doi.org/10.2991/jracr.k.210430.001 |
container_title |
Journal of Risk Analysis and Crisis Response |
container_volume |
11 |
container_issue |
2 |
container_start_page |
75 |
_version_ |
1766337796923981824 |