Shiting Zhang

Dr. Shiting Zhang

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 October 2009 in Plant and Soil
Verified
Journal Article
Closed access
PDF file
KNKechang Niu
Kechang Niu
SZShiting Zhang
Shiting Zhang
BZBinbin Zhao
Binbin Zhao
GDGuozhen Du
Guozhen Du

1 August 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
XLXiaochen Liu
Xiaochen Liu
XSXiaoming Shi
Xiaoming Shi
SZShiting Zhang
Shiting Zhang

17 December 2019 in Biology and Fertility of Soils
Verified
Journal Article
Closed access
PDF file
XLXiaochen Liu
Xiaochen Liu
ELEric G. Lamb
Eric G. Lamb
SZShiting Zhang
Shiting Zhang

27 June 2012 in Journal of Vegetation Science
Verified
Journal Article
Closed access
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XLXin Leng
Xin Leng
JCJun Cui
Jun Cui
SZShiting Zhang
Shiting Zhang
WZWenguang Zhang
Wenguang Zhang
YLYuhong Liu
Yuhong Liu
SAShuqing An
Shuqing An

7 November 2019 in Water
Verified
Journal Article
Open access
PDF file
XDXiaogang Dong
Xiaogang Dong
SZShiting Zhang
Shiting Zhang
JZJunju Zhou
Junju Zhou
Jianjun CaoJianjun Cao
Jianjun Cao
LJLiang Jiao
Liang Jiao
YLYang Liu
Yang Liu
Since there are many destructive effects caused by extreme climate events in the Yellow River, it is of great theoretical and practical significance to explore the variations of climatic extremes in this key basin. We used a meteorological dataset from 66 stations within the Yellow River basin (YRB) for the period 1960–2017 to calculate magnitude and frequency of precipitation/temperature extremes. We also analyzed the relationships between the main large-scale atmospheric circulation patterns (ACPs) and precipitation/temperature extremes. The trends in precipitation extremes were nonsignificant, only a few stations were characterized by significantly increasing or decreasing anomalies; this indicates the precipitation intensity may have been strengthened, and the extreme rainfall duration appears to have been reduced during 1960–2017. The trends of magnitudes for “cold” extremes were larger than those for “warm” extremes, changes of trends in frost days were higher than those for summer days, and the trends in increasing warm nights were higher than those of warm days. The influence of the El Niño–Southern Oscillation (ENSO) and Arctic Oscillation (AO) on temperature extremes outweighed the influence of the North Atlantic Oscillation (NAO), Indian Ocean Dipole (IOD), and Pacific Decadal Oscillation (PDO) for the other extreme climate indices. The YRB might be at risk of increased extreme high temperature events, and more attention should be paid to this higher risk of extreme climatic events.