Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China

The frequent occurrence of drought events in humid and semi-humid regions is closely related to the global climate variability (GCV). In this study, the Standard Precipitation Evapotranspiration Index (SPEI) was taken as an index to investigate the drought in the Yangtze River Basin (YRB), a typical...

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Published in:Water
Main Authors: Tao Huang, Ligang Xu, Hongxiang Fan
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/w11010013
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spelling ftmdpi:oai:mdpi.com:/2073-4441/11/1/13/ 2023-08-20T04:08:27+02:00 Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China Tao Huang Ligang Xu Hongxiang Fan agris 2018-12-21 application/pdf https://doi.org/10.3390/w11010013 EN eng Multidisciplinary Digital Publishing Institute Hydrology https://dx.doi.org/10.3390/w11010013 https://creativecommons.org/licenses/by/4.0/ Water; Volume 11; Issue 1; Pages: 13 SPEI the GCV joint probability distribution the Yangtze River basin drought Text 2018 ftmdpi https://doi.org/10.3390/w11010013 2023-07-31T21:55:29Z The frequent occurrence of drought events in humid and semi-humid regions is closely related to the global climate variability (GCV). In this study, the Standard Precipitation Evapotranspiration Index (SPEI) was taken as an index to investigate the drought in the Yangtze River Basin (YRB), a typical humid and semi-humid region in China. Furthermore, nine GCV indices, such as North Atlantic Oscillation (NAO) were taken to characterize the GCV. Correlation analysis and a joint probability distribution model were used to explore the relationship between the drought events and the GCV. The results demonstrated that there were six significant spatiotemporal modes revealed by SPEI3 (i.e., seasonal drought), which were consistent with the distribution of the main sub basins in the YRB, indicating a heterogeneity of drought regime. However, the SPEI12 (i.e., annual drought) can only reveal five modes. Precipitation Indices and El Niño/Southern Oscillation (ENSO) Indices were more closely related to the drought events. A causal relationship existed between ENSO precipitation index (ESPI), NAO, East Central Tropical Pacific Sea Surface Temperature (Nino3.4) and Northern Oscillation Index (NOI) and drought in the YRB, respectively. Drought events were most sensitive to the low NAO and high NOI events. This study shows a great significance for the understanding of spatiotemporal characteristics of meteorological drought and will provide a reference for the further formulation of water resources policy and the prevention of drought disasters. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Pacific Water 11 1 13
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic SPEI
the GCV
joint probability distribution
the Yangtze River basin
drought
spellingShingle SPEI
the GCV
joint probability distribution
the Yangtze River basin
drought
Tao Huang
Ligang Xu
Hongxiang Fan
Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China
topic_facet SPEI
the GCV
joint probability distribution
the Yangtze River basin
drought
description The frequent occurrence of drought events in humid and semi-humid regions is closely related to the global climate variability (GCV). In this study, the Standard Precipitation Evapotranspiration Index (SPEI) was taken as an index to investigate the drought in the Yangtze River Basin (YRB), a typical humid and semi-humid region in China. Furthermore, nine GCV indices, such as North Atlantic Oscillation (NAO) were taken to characterize the GCV. Correlation analysis and a joint probability distribution model were used to explore the relationship between the drought events and the GCV. The results demonstrated that there were six significant spatiotemporal modes revealed by SPEI3 (i.e., seasonal drought), which were consistent with the distribution of the main sub basins in the YRB, indicating a heterogeneity of drought regime. However, the SPEI12 (i.e., annual drought) can only reveal five modes. Precipitation Indices and El Niño/Southern Oscillation (ENSO) Indices were more closely related to the drought events. A causal relationship existed between ENSO precipitation index (ESPI), NAO, East Central Tropical Pacific Sea Surface Temperature (Nino3.4) and Northern Oscillation Index (NOI) and drought in the YRB, respectively. Drought events were most sensitive to the low NAO and high NOI events. This study shows a great significance for the understanding of spatiotemporal characteristics of meteorological drought and will provide a reference for the further formulation of water resources policy and the prevention of drought disasters.
format Text
author Tao Huang
Ligang Xu
Hongxiang Fan
author_facet Tao Huang
Ligang Xu
Hongxiang Fan
author_sort Tao Huang
title Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China
title_short Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China
title_full Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China
title_fullStr Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China
title_full_unstemmed Drought Characteristics and Its Response to the Global Climate Variability in the Yangtze River Basin, China
title_sort drought characteristics and its response to the global climate variability in the yangtze river basin, china
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/w11010013
op_coverage agris
geographic Pacific
geographic_facet Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Water; Volume 11; Issue 1; Pages: 13
op_relation Hydrology
https://dx.doi.org/10.3390/w11010013
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/w11010013
container_title Water
container_volume 11
container_issue 1
container_start_page 13
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