Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.

The spatial and temporal characteristics of drought in Northeast China are investigated, using monthly meteorological data from 140 stations over the period 1970-2014. The study area was divided into three regions using hierarchical cluster analysis based on the precipitation and potential evapotran...

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Autores principales: Yuan Yue, HaiFeng Liu, XiuXiang Mu, MengSheng Qin, TingTing Wang, Qi Wang, YaQiong Yan
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Publicado: Public Library of Science (PLoS) 2021
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spelling oai:doaj.org-article:5ef73481052c4c828503bda41dce046d2021-12-02T20:12:49ZSpatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.1932-620310.1371/journal.pone.0259774https://doaj.org/article/5ef73481052c4c828503bda41dce046d2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259774https://doaj.org/toc/1932-6203The spatial and temporal characteristics of drought in Northeast China are investigated, using monthly meteorological data from 140 stations over the period 1970-2014. The study area was divided into three regions using hierarchical cluster analysis based on the precipitation and potential evapotranspiration data. The standardized precipitation evapotranspiration index (SPEI) was calculated for each station on 3-month and 12-month time scales. The Mann-Kendall (MK) trend test and Sen's slope method were applied to determine the trends for annual and seasonal SPEI time series. Periodic features of drought conditions in each sub-region and possible relationship with large-scale climate patterns were respectively identified using the continuous wavelet transform (CWT) and cross wavelet transform. The results show mitigations in spring and winter droughts and a significant increasing trend in autumn drought. On the annual scale, droughts became more severe and more intense in the western regions but were mitigated in the eastern region. CWT analysis showed that droughts in Northeast China occur predominantly in 14- to 42-month or 15- to 60-month cycles. Annual and seasonal droughts have 2- to 6-year cycles over the three defined regions. Cross wavelet analysis also shows that the statistically significant influence of large-scale climate patterns (the Southern Oscillation, the Atlantic Multidecadal Oscillation, the Arctic Oscillation, and the Polar-Eurasian Pattern) on drought in Northeast China is concentrated in a 16- to 50-month period, possibly causing drought variability in the different regions. The Southern Oscillation, Polar-Eurasia pattern, and Arctic Oscillation are significantly correlated with drought on decadal scales (around 120-month period). The findings of this study will provide valuable reference for regional drought mitigation and drought prediction.Yuan YueHaiFeng LiuXiuXiang MuMengSheng QinTingTing WangQi WangYaQiong YanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259774 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yuan Yue
HaiFeng Liu
XiuXiang Mu
MengSheng Qin
TingTing Wang
Qi Wang
YaQiong Yan
Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.
description The spatial and temporal characteristics of drought in Northeast China are investigated, using monthly meteorological data from 140 stations over the period 1970-2014. The study area was divided into three regions using hierarchical cluster analysis based on the precipitation and potential evapotranspiration data. The standardized precipitation evapotranspiration index (SPEI) was calculated for each station on 3-month and 12-month time scales. The Mann-Kendall (MK) trend test and Sen's slope method were applied to determine the trends for annual and seasonal SPEI time series. Periodic features of drought conditions in each sub-region and possible relationship with large-scale climate patterns were respectively identified using the continuous wavelet transform (CWT) and cross wavelet transform. The results show mitigations in spring and winter droughts and a significant increasing trend in autumn drought. On the annual scale, droughts became more severe and more intense in the western regions but were mitigated in the eastern region. CWT analysis showed that droughts in Northeast China occur predominantly in 14- to 42-month or 15- to 60-month cycles. Annual and seasonal droughts have 2- to 6-year cycles over the three defined regions. Cross wavelet analysis also shows that the statistically significant influence of large-scale climate patterns (the Southern Oscillation, the Atlantic Multidecadal Oscillation, the Arctic Oscillation, and the Polar-Eurasian Pattern) on drought in Northeast China is concentrated in a 16- to 50-month period, possibly causing drought variability in the different regions. The Southern Oscillation, Polar-Eurasia pattern, and Arctic Oscillation are significantly correlated with drought on decadal scales (around 120-month period). The findings of this study will provide valuable reference for regional drought mitigation and drought prediction.
format article
author Yuan Yue
HaiFeng Liu
XiuXiang Mu
MengSheng Qin
TingTing Wang
Qi Wang
YaQiong Yan
author_facet Yuan Yue
HaiFeng Liu
XiuXiang Mu
MengSheng Qin
TingTing Wang
Qi Wang
YaQiong Yan
author_sort Yuan Yue
title Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.
title_short Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.
title_full Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.
title_fullStr Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.
title_full_unstemmed Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.
title_sort spatial and temporal characteristics of drought and its correlation with climate indices in northeast china.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/5ef73481052c4c828503bda41dce046d
work_keys_str_mv AT yuanyue spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
AT haifengliu spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
AT xiuxiangmu spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
AT mengshengqin spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
AT tingtingwang spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
AT qiwang spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
AT yaqiongyan spatialandtemporalcharacteristicsofdroughtanditscorrelationwithclimateindicesinnortheastchina
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