Statistics of warm-season hourly extreme precipitation in the Sichuan Basin, China during 2002–2021-Reference-Cited by-同舟云学术

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Statistics of warm-season hourly extreme precipitation in the Sichuan Basin, China during 2002–2021

Published:2024-03-01 Issue:6 Volume:155 Page:4465-4480
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Li Qin,Wu Fan,Yang Shuai,Cui Xiaopeng,Zhang Yong,Zhang Wulong

Funder

the Natural Science Foundation of Chongqing, China

the Strategic Priority Research Program of the Chinese Academy of Sciences

the Open Research Project of the State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00704-024-04897-8.pdf

Reference72 articles.

1. Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AMG, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipour A, Rupa Kumar K, Revadekar J, Griffiths G, Vincent L, Stephenson DB, Burn J, Aguilar E, Brunet M, Taylor M, New M, Zhai P, Rusticucci M, Vazquez-Aguirre JL (2006) Global observed changes in daily climatic extremes of temperature and precipitation. J Geophys Res 111:D05109. https://doi.org/10.1029/2005JD006290

2. Allan RP, Barlow M, Byrne MP, Cherchi A, Douville H, Fowler HJ, Gan TY, Pendergrass AG, Rosenfeld D, Swann ALS, Wilcox LJ, Zolina O (2020) Advances in understanding large-scale responses of the water cycle to climate change. Ann N Y Acad Sci 1472(1):49–75

3. Bao J, Sherwood SC, Alexander LV, Evans JP (2017) Future increases in extreme precipitation exceed observed scaling rates. Nat Clim Chang 7(2):128–132

4. Barbero R, Fowler HJ, Lenderink G, Blenkinsop S (2017) Is the intensification of precipitation extremes with global warming better detected at hourly than daily resolutions? Geophys Res Lett 44(2):974–983

5. Bartolini G, Grifoni D, Torrigiani T, Vallorani R, Meneguzzo F, Gozzini B (2014) Precipitation changes from two long-term hourly datasets in Tuscany, Italy. Int J Climatol 34(15):3977–3985

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