Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011

Choujun Zhan; Weiwen Cao; Junyu Fan; C. K. Tse

doi:10.1016/j.physa.2018.07.033

Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011

Choujun Zhan
, Weiwen Cao
, Junyu Fan
, C. K. Tse

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

6 Citations (Scopus)

Abstract

Based on a newly developed dataset containing daily precipitation in China at 0.5°intervals of longitude and latitude over the period 1961 to 2011, we find that statistical patterns of the daily surface precipitation data from the 3825 measurement sites can be described by a new Impulse Weibull (IWBL) probability distribution. By applying appropriate parameter identification techniques, we estimate all the parameters of the IWBL distribution for each site. We also examine the trends in annual and daily precipitation over the period 1961 to 2011. Results show that the probability of rainy days has decreased over time for over 90% the surface area of China, and that the extreme precipitation and annual precipitation have decreased for most of the area in China.

Original language	English
Pages (from-to)	57-67
Number of pages	11
Journal	Physica A: Statistical Mechanics and its Applications
Volume	512
DOIs	https://doi.org/10.1016/j.physa.2018.07.033
Publication status	Published - 15 Dec 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Climate change
Precipitation
Statistics property
Weather extreme
Weibull distribution

ASJC Scopus subject areas

Statistics and Probability
Condensed Matter Physics

More information

10.1016/j.physa.2018.07.033

Cite this

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title = "Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011",

abstract = "Based on a newly developed dataset containing daily precipitation in China at 0.5°intervals of longitude and latitude over the period 1961 to 2011, we find that statistical patterns of the daily surface precipitation data from the 3825 measurement sites can be described by a new Impulse Weibull (IWBL) probability distribution. By applying appropriate parameter identification techniques, we estimate all the parameters of the IWBL distribution for each site. We also examine the trends in annual and daily precipitation over the period 1961 to 2011. Results show that the probability of rainy days has decreased over time for over 90\% the surface area of China, and that the extreme precipitation and annual precipitation have decreased for most of the area in China.",

keywords = "Climate change, Precipitation, Statistics property, Weather extreme, Weibull distribution",

author = "Choujun Zhan and Weiwen Cao and Junyu Fan and Tse, \{C. K.\}",

note = "Funding Information: This work was supported by National Science Foundation of China ( 61703355 ) and Hong Kong Polytechnic University, Hong Kong under Grants G-YBKB and GYBAT. Publisher Copyright: {\textcopyright} 2018",

year = "2018",

month = dec,

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doi = "10.1016/j.physa.2018.07.033",

language = "English",

volume = "512",

pages = "57--67",

journal = "Physica A: Statistical Mechanics and its Applications",

issn = "0378-4371",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011

AU - Zhan, Choujun

AU - Cao, Weiwen

AU - Fan, Junyu

AU - Tse, C. K.

N1 - Funding Information: This work was supported by National Science Foundation of China ( 61703355 ) and Hong Kong Polytechnic University, Hong Kong under Grants G-YBKB and GYBAT. Publisher Copyright: © 2018

PY - 2018/12/15

Y1 - 2018/12/15

N2 - Based on a newly developed dataset containing daily precipitation in China at 0.5°intervals of longitude and latitude over the period 1961 to 2011, we find that statistical patterns of the daily surface precipitation data from the 3825 measurement sites can be described by a new Impulse Weibull (IWBL) probability distribution. By applying appropriate parameter identification techniques, we estimate all the parameters of the IWBL distribution for each site. We also examine the trends in annual and daily precipitation over the period 1961 to 2011. Results show that the probability of rainy days has decreased over time for over 90% the surface area of China, and that the extreme precipitation and annual precipitation have decreased for most of the area in China.

AB - Based on a newly developed dataset containing daily precipitation in China at 0.5°intervals of longitude and latitude over the period 1961 to 2011, we find that statistical patterns of the daily surface precipitation data from the 3825 measurement sites can be described by a new Impulse Weibull (IWBL) probability distribution. By applying appropriate parameter identification techniques, we estimate all the parameters of the IWBL distribution for each site. We also examine the trends in annual and daily precipitation over the period 1961 to 2011. Results show that the probability of rainy days has decreased over time for over 90% the surface area of China, and that the extreme precipitation and annual precipitation have decreased for most of the area in China.

KW - Climate change

KW - Precipitation

KW - Statistics property

KW - Weather extreme

KW - Weibull distribution

UR - https://www.scopus.com/pages/publications/85051376690

U2 - 10.1016/j.physa.2018.07.033

DO - 10.1016/j.physa.2018.07.033

M3 - Journal article

AN - SCOPUS:85051376690

SN - 0378-4371

VL - 512

SP - 57

EP - 67

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

ER -

Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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