干旱区生态环境知识资源中心(Arid): Spatio-temporal variability of dryness and wetness based on standardized precipitation evapotranspiration index and standardized wetness index and its relation to the normalized difference vegetation index

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DOI	10.1002/joc.7266
	Spatio-temporal variability of dryness and wetness based on standardized precipitation evapotranspiration index and standardized wetness index and its relation to the normalized difference vegetation index
	Lv, Wenhan; Wu, Chuanhao; Yeh, Pat J. -F.; Hu, Bill X.
通讯作者	Wu, CH (corresponding author), Jinan Univ, Inst Groundwater & Earth Sci, Guangzhou 510632, Peoples R China. ; Wu, CH (corresponding author), Green Dev Inst Zhaoqing, Zhaoqing 526000, Peoples R China.
来源期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN	0899-8418
EISSN	1097-0088
出版年	2021-06
英文摘要	Land surface change (LSC) due to human-caused global environmental changes has considerably affected the development of regional droughts. The standardized wetness index (SWI) developed recently by combining the standardized precipitation evapotranspiration index (SPEI) with the evapotranspiration (ET) estimated from the Budyko framework considers the joint effects of climate variability and LSC on the land dryness/wetness conditions. Here, using a 25-year (1984-2008) monthly gridded terrestrial water budget dataset, a comparative global analysis of the spatio-temporal variability of drought characteristics (duration D, severity S, peak K, frequency, and drought area) estimated based on SWI and SPEI is presented. The relationship between dryness/wetness (as indicated by SWI and SPEI) and LSC (as indicated by the Normalized Difference Vegetation Index, NDVI) is explored by correlation analysis and the dynamic time warping algorithm (DTW). The results show that SWI is strongly correlated with SPEI for most global regions (except for the extremely arid and extremely humid regions). Both SWI and SPEI show similar directions and magnitudes in the trends of drought characteristics during 1984-2008. However, the drying trends in SPEI are stronger than that of SWI particularly in arid regions, accompanied with larger global drought areas and higher frequencies of extreme drought. Furthermore, the correlation between SWI and LSC is larger than that between SPEI and LSC particularly in arid regions (e.g., northern Africa, Indus, and southern Australia). As SWI accounts for the effects of LSC, it can be inferred that the underestimation of drying trend indicated by SWI relative to SPEI is partially caused by LSC.
英文关键词	drought characteristics land surface change NDVI SPEI SWI
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000668361700001
WOS关键词	BEIJIANG RIVER-BASIN ; LAND-COVER ; CLIMATE-CHANGE ; DROUGHT INDEX ; CANDIDATE DISTRIBUTIONS ; CHINA ; TRENDS ; WATER ; NDVI ; EVAPORATION
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352240
作者单位	[Lv, Wenhan] China Univ Geosci Beijing, Sch Water Resources & Environm, Beijing, Peoples R China; [Wu, Chuanhao; Hu, Bill X.] Jinan Univ, Inst Groundwater & Earth Sci, Guangzhou 510632, Peoples R China; [Wu, Chuanhao; Hu, Bill X.] Green Dev Inst Zhaoqing, Zhaoqing 526000, Peoples R China; [Yeh, Pat J. -F.] Monash Univ, Discipline Civil Engn, Subang Jaya, Malaysia
推荐引用方式 GB/T 7714	Lv, Wenhan,Wu, Chuanhao,Yeh, Pat J. -F.,et al. Spatio-temporal variability of dryness and wetness based on standardized precipitation evapotranspiration index and standardized wetness index and its relation to the normalized difference vegetation index[J],2021.
APA	Lv, Wenhan,Wu, Chuanhao,Yeh, Pat J. -F.,&Hu, Bill X..(2021).Spatio-temporal variability of dryness and wetness based on standardized precipitation evapotranspiration index and standardized wetness index and its relation to the normalized difference vegetation index.INTERNATIONAL JOURNAL OF CLIMATOLOGY.
MLA	Lv, Wenhan,et al."Spatio-temporal variability of dryness and wetness based on standardized precipitation evapotranspiration index and standardized wetness index and its relation to the normalized difference vegetation index".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2021).