A spatiotemporal precipitation generator based on a censored latent Gaussian field
By Anastassia Baxevani, Jan Lennartsson. 2015
73 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/387ec6a06967104af4a2d8b5e48dbe416cd848ce
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In Atmospheric Science
In Global and Planetary Change
- F. Serinaldi
- Anne-Catherine Favre
- Guillaume Évin
- Vijay P. Singh
- B. Hingray
- Simon Michael Papalexiou
- Songbai Song
- M. Janga Reddy
Citations in the corpus
- Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity (2020, methodology): “…of Beads” method, and Mantoglou and Wilson (1982) investigated the “Turning bands method” (later modified by Leblois & Creutin, 2013); many more simulators can also be found in the literature (see, e.g., Baxevani & Lennartsson, 2015; Benoit et al., 2018; Paschalis et al., 2013; Peleg et al., 2017).”
- Stochastic generation of multi-site daily precipitation focusing on extreme events (2018, background): “Meta-Gaussian models (Vischel et al., 2009; Kleiber et al., 2012; Allard and Bourotte, 2015; Baxevani and Lennartsson, 2015; Bennett et al., 2017) are based on truncated and transformed random Gaussian fields.”