Predictability of spatial distribution of pre-summer extreme precipitation days over southern China revealed by the physical-based empirical model-Reference-Cited by-同舟云学术

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Predictability of spatial distribution of pre-summer extreme precipitation days over southern China revealed by the physical-based empirical model

Published:2023-01-23 Issue:5-6 Volume:61 Page:2299-2316
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Li Juan,Zheng Changshan,Yang Ying,Lu Rui,Zhu Zhiwei

Funder

National Natural Science Foundation of China

the National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00382-023-06681-2.pdf

Reference79 articles.

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2. Bodri L, Čermák V (2000) Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia. Adv Eng Softw 31(5):311–321. https://doi.org/10.1016/S0965-9978(99)00063-0

3. Chen W, Lee J-Y, Lu R, Dong B, Ha K-J (2014) Intensified impact of tropical Atlantic SST on the western North Pacific summer climate under a weakened Atlantic thermohaline circulation. Clim Dyn 45(7–8):2033–2046. https://doi.org/10.1007/s00382-014-2454-4

4. Easterling DR, Meehl GA, Parmesan C, Changnon SA, Karl TR, Mearns LO (2000) Climate extremes: observations, modeling, and impacts. Science 289(5487):2068–2074. https://doi.org/10.1126/science.289.5487.2068

5. Enomoto T, Hoskins BJ, Matsuda Y (2003) The formation mechanism of the Bonin high in August. Q J Roy Meteorol Soc 129(587):157–178. https://doi.org/10.1256/qj.01.211

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