Modelling Precipitation in Sweden using multiple step markov chains and a composite model
2008
64 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3f69351222fdf2a27c452cb5753f3f1ea86423e5
Citations in the corpus
- Coupled stochastic weather generation using spatial and generalized linear models (2015, unknown): “For modeling sites with heavy-tailed precipitation distributions, a generalized Pareto distribution (Lennartsson et al. 2008) or a stretched exponential distribution (Furrer and Katz 2008) have been shown to be good alternatives to the more traditional methods.”
- A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011, unknown): “Some useful contributions in this direction are provided by Salvadori and De Michele [2006], Grimaldi and Serinaldi [2006b], Kao and Govindaraju [2008], Lennartsson et al. [2008] , Sun [2008], Bardossy and Pegram [2009], and Serinaldi [2009] and will be the subject of future research.”
- A spatiotemporal precipitation generator based on a censored latent Gaussian field (2015, unknown): “The occurrence component is usually modeled by means of Markov chains of different orders [see Katz, 1977; Lennartsson et al., 2008], including nonhomogeneous Markov chains [see Katz and Parlange, 1995; Furrer and Katz, 2008], semiMarkov models, and multistate Markov chains [Flecher et al., 2010].”
- Disaggregating daily precipitations into hourly values with a transformed censored latent Gaussian process (2015, unknown): “Historically, rainfall occurrence has been described by Markov chains (Katz 1977; Lennartsson et al. 2008; Chen et al. 2012), including non-homogeneous Markov chains (Katz and Parlange 1995; Furrer and Katz 2007; Ailliot and Monbet 2012), semi-Markov models (Racsko et al.”
- A bivariate mixed distribution with a heavy‐tailed component and its application to single‐site daily rainfall simulation (2013, unknown): “[58] Moreover, rainfall fractions due to wet days with amounts greater than large rainfall quantiles (e.g., 0.90, 0.95, and 0.99) over a period measure extreme rainfall events from a view point close to frequency analysis [Lennartsson et al., 2008].”