A fundamental probability distribution for heavy rainfall

By P. Wilson, Ralf Toumi. 2005

198 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ffb296568f325f62c2c405fd0cd8beb326cc3a3f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Daniel Cooley
2. Hayley J. Fowler
3. Marc G. Genton
4. Thordis Linda Thorarinsdottir
5. Chao Li
6. Vijay P. Singh
7. Stephan R. Sain
8. Anshuman Mishra

In Global and Planetary Change

1. Anshuman Mishra
2. Vijay P. Singh
3. Thordis Linda Thorarinsdottir
4. F. Stordal
5. Alex Lenkoski
6. A. Dyrrdal
7. Daniel Cooley
8. Hayley J. Fowler

Citations in the corpus

• Bayesian hierarchical modeling of extreme hourly precipitation in Norway (2013, background): “Wilson and Toumi (2005) fitted a GEV distribution to long daily precipitation records from the UK and found a mean estimate of 0.10. Daily precipitation in Norway was studied by Dyrrdal et al. (2014) who found that varies spatially according to dominating weather systems.”
• Simulation of the entire range of daily precipitation using a hybrid probability distribution (2012, background): “[14] Other distributions where the focus is on modeling only the upper tail include generalized stretched exponential distribution and generalized Pareto (GP) distribution [Coles, 2001; Katz et al., 2002; Koutsoyiannis, 2004a, 2004b; Wilson and Toumi, 2005; Naveau et al., 2005].”
• Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment (2010, background): “However, Wilson and Toumi (2005) suggest that precipitation efficiency must play a critical role in the occurrence of heavy precipitation.”
• Climate model bias correction and the role of timescales (2010, methodology): “To approximate the distribution function of daily precipitation intensity, Gamma distributions or other rapidly decaying functions of intensity have been used in the past (Piani et al., 2010a; Gutowski et al., 2007; Wilson and Toumi, 2005; Haerter et al., 2010).”
• Multivariate log‐skew‐elliptical distributions with applications to precipitation data (2009, background): “For example, Wilson and Toumi (2005) study univariate heavy precipitation and point out that its distribution exhibits a heavy-tailed behavior.”