Generic probability distribution of rainfall in space: the bivariate model
By H. Herr, Roman Krzysztofowicz. 2005
79 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/02007c8ac281fa3910ca2bd0c33a47f93aa1f5cd
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
- Tilmann Gneiting
- Michael Scheuerer
- Adrian E. Raftery
- Veronica J. Berrocal
- Thordis Linda Thorarinsdottir
- D. Wilks
- Benjamin Renard
- W. Ehm
In Environmental Engineering
- Tilmann Gneiting
- Benjamin Renard
- Adrian E. Raftery
- G. Salvadori
- Carlo De Michele
- F. Serinaldi
- Veronica J. Berrocal
- Chris Fraley
In Global and Planetary Change
- F. Serinaldi
- Tilmann Gneiting
- Carlo De Michele
- G. Salvadori
- Michael Scheuerer
- Vijay P. Singh
- Benjamin Renard
- Adrian E. Raftery
Citations in the corpus
- Multivariate multiparameter extreme value models and return periods: A copula approach (2010, background): “[2] The multivariate extreme problems in hydrology and water resources engineering include, among others, (1) flood and drought occurrences at different sites [Singh, 1986; Pons, 1992; Kim et al., 2003; Keef et al., 2009], (2) the precipitation dynamics (rain and snow) [Wilks, 1998; Herr and Krzysz”
- Use of a Gaussian copula for multivariate extreme value analysis: Some case studies in hydrology (2007, methodology): “In the hydrology field, the meta-Gaussian density studied by Kelly and Krzysztofowicz [32] and Herr and Krzysztofowicz [25] can also be viewed as a Gaussian copula.”
- Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging (2007, background): “Herr and Krzysztofowicz (2005) proposed a generic bivariate probability model for rainfall accumulation in space and gave a critique of the simulation technique of Seo et al. (2000), which generates multiple realizations of downscaled precipitation fields from PQPF.”
- Probabilistic quantitative precipitation field forecasting using a two-stage spatial model (2008, background): “Herr and Krzysztofowicz (2005) proposed a bivariate statistical model for precipitation at two locations that uses a two-stage approach with a meta-Gaussian distribution that represents nonzero precipitation accumulation.”
- Analysis of inter-gauge dependence by Kendall’s τK, upper tail dependence coefficient, and 2-copulas with application to rainfall fields (2008, background): “Shimizu’s model. We follow the same notation of Shimizu (1993) and Yoo and Ha (2007) (we refer also to Herr and Krzysztofowicz (2005) for the meta-Gaussian version of the model and further analytical developments).”