Assessing the Gumbel-Logistic Model’s performance in modeling long-term rainfall series in a high-latitude plain region
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-024-04859-0.pdf
Reference46 articles.
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2. Alfieri L, Bisselink B, Dottori F, Naumann G, De Roo A, Salamon P, Wyser K, Feyen L (2017) Global projections of river flood risk in a warmer world: river flood risk in a warmer world. Earth’s Future 5(2):171–182. https://doi.org/10.1002/2016EF000485
3. Bacchi B, Becciu G, Kottegoda NT (1994) Bivariate exponential model applied to intensities and durations of extreme rainfall. J Hydrol 155(1–2):225–236. https://doi.org/10.1016/0022-1694(94)90166-X
4. Bahrawi JA (2018) Rainfall distribution and its characteristics in Makkah Al-Mukarramah Region, Saudi Arabia. Appl Ecol Environ Res 16(4):4129–4144. https://doi.org/10.15666/aeer/1604_41294144
5. Boughton W (2007) Effect of data length on rainfall–runoff modelling. Environ Model Softw 22(3):406–413. https://doi.org/10.1016/j.envsoft.2006.01.001
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