GSTDTAP  > 气候变化
DOI10.1002/2016JD026168
Robust drying and wetting trends found in regions over China based on Koppen climate classifications
Chen, Tiexi1,2; Zhang, Huixian1; Chen, Xing2; Hagan, Daniel Fiifi1; Wang, Guojie1; Gao, Zhiqiu1; Shi, Tingting3
2017-04-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2017
卷号122期号:8
文章类型Article
语种英语
国家Peoples R China
英文摘要

Controversial results in the drying and wetting trends were found with different indices and potential evapotranspiration calculations in previous studies. Here we make an attempt to find robust conclusions of drying and wetting trends over regions by coherent results of various independent indices by using China (1961-2012) as a study area. Precipitation, statistical, and physical drought indices, including the Standardized Precipitation Evapotranspiration Index (SPEI) and the Palmer Drought Severity Index (PDSI) and self-calibrating PDSI (sc_PDSI), with both the Penman-Monteith (PM) and Thornthwaite (TH) approaches in PDSI calculation are considered. In consequence, four PDSI variants of PDSI_pm, sc_PDSI_pm, PDSI_th, and sc_PDSI_th are involved. To illustrate regional characteristics, six climatic regions based on the Koppen climate classification are defined. At the national scale, precipitation and SPEI indicate wetting trends but all PDSI variants have drying trends. On the other hand, these six indices exhibit coherent results in five of these six regions. Increases in wetness occur in arid region and the Qinghai-Tibet Plateau. Drying trends were found in semiarid and cold and temperate semihumid regions. Only the humid region in southeastern China is seen to have increasing precipitation and SPEI and decreasing PDSI variants. From the perspective of climatic regions, the drying trends mainly occur in the transition regions between the humid and arid regions in China. The spatial pattern of changes in droughts could be categorized by climatic zones, and the changes at regional scale are robust based on these six indices.


英文关键词drying and wetting drought index climate classification China
领域气候变化
收录类别SCI-E
WOS记录号WOS:000401180800006
WOS关键词DROUGHT SEVERITY INDEX ; NET PRIMARY PRODUCTION ; MODEL ; SENSITIVITY ; EVAPORATION ; CALIFORNIA ; ARIDITY ; RISK
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/32316
专题气候变化
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China;
2.Nanjing Univ, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China;
3.Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Nanjing, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Chen, Tiexi,Zhang, Huixian,Chen, Xing,et al. Robust drying and wetting trends found in regions over China based on Koppen climate classifications[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(8).
APA Chen, Tiexi.,Zhang, Huixian.,Chen, Xing.,Hagan, Daniel Fiifi.,Wang, Guojie.,...&Shi, Tingting.(2017).Robust drying and wetting trends found in regions over China based on Koppen climate classifications.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(8).
MLA Chen, Tiexi,et al."Robust drying and wetting trends found in regions over China based on Koppen climate classifications".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.8(2017).
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