2015
DOI: 10.1007/s00382-015-2822-8
|View full text |Cite
|
Sign up to set email alerts
|

Is the interannual variability of summer rainfall in China dominated by precipitation frequency or intensity? An analysis of relative importance

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
20
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 24 publications
(24 citation statements)
references
References 44 publications
4
20
0
Order By: Relevance
“…The reasons may be a fact that daily extreme precipitation defined with the threshold of 95% is already sufficiently strong while the frequency corresponding to the strong intensity is relatively small. Therefore, a little change in frequency may lead to a complete different trend (Lu et al, , ). The increasing trend in extreme precipitation intensity and frequency might means more floods in Southeast China, while decreasing extreme precipitation intensity and frequency might resulted in water resource shortage in North China and Northeast China.…”
Section: Discussionmentioning
confidence: 99%
“…The reasons may be a fact that daily extreme precipitation defined with the threshold of 95% is already sufficiently strong while the frequency corresponding to the strong intensity is relatively small. Therefore, a little change in frequency may lead to a complete different trend (Lu et al, , ). The increasing trend in extreme precipitation intensity and frequency might means more floods in Southeast China, while decreasing extreme precipitation intensity and frequency might resulted in water resource shortage in North China and Northeast China.…”
Section: Discussionmentioning
confidence: 99%
“…To examine which one is relatively more important in inter‐annual variability of precipitation, a simple method based on linear regression is adopted from Lu et al . (, , ).…”
Section: Methodsmentioning
confidence: 99%
“…Considering the above definitions, R is equivalent to PRCPTOT, T to R1mm and P to SDII. As stated in Lu et al (2016), the relation between R, T and P can be approximated by a linear regression, R = aT + bP + c. The coefficients a and b represent the change rates of precipitation R regarding its frequency T and intensity P, respectively. The coefficients a and b are calculated by using least squares based on the data of T and P. Then, the scale variations of T and P are defined by the standard deviation of T and P. Therefore, the products of the change rates and corresponding variation scales are used to measure the scales of change in R by T and P (Lu et al, 2010;2014;2016).…”
Section: Dominance Of Frequency and Intensity In Precipitation Varimentioning
confidence: 99%