Papalexiou SM, Serinaldi F, Strnad F, Markonis Y, Shook K (2025). CoSMoS: Complete Stochastic Modelling Solution. R package version 2.1.1, https://CRAN.R-project.org/package=CoSMoS.
Papalexiou SM (2018). “Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency.” Advances in Water Resources, 115, 234-252. https://doi.org/10.1016/j.advwatres.2018.02.013.
Papalexiou SM, Serinaldi F (2020). “Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity.” Water Resources Research, 56(2), e2019WR026331. https://doi.org/10.1029/2019WR026331.
Papalexiou SM, Serinaldi F, Porcu E (2021). “Advancing Space-Time Simulation of Random Fields: From Storms to Cyclones and Beyond.” Water Resources Research. https://doi.org/10.1029/2020WR029466.
Corresponding BibTeX entries:
@Manual{,
title = {CoSMoS: Complete Stochastic Modelling Solution},
author = {Simon Michael Papalexiou and Francesco Serinaldi and
Filip Strnad and Yannis Markonis and Kevin Shook},
year = {2025},
note = {R package version 2.1.1},
url = {https://CRAN.R-project.org/package=CoSMoS},
}
@Article{,
title = {Unified theory for stochastic modelling of hydroclimatic
processes: Preserving marginal distributions, correlation
structures, and intermittency},
journal = {Advances in Water Resources},
volume = {115},
pages = {234-252},
year = {2018},
url = {https://doi.org/10.1016/j.advwatres.2018.02.013},
author = {Simon Michael Papalexiou},
}
@Article{,
author = {Simon Michael Papalexiou and Francesco Serinaldi},
title = {Random Fields Simplified: Preserving Marginal
Distributions, Correlations, and Intermittency, With Applications
From Rainfall to Humidity},
journal = {Water Resources Research},
volume = {56},
number = {2},
pages = {e2019WR026331},
url = {https://doi.org/10.1029/2019WR026331},
year = {2020},
}
@Article{,
author = {Simon Michael Papalexiou and Francesco Serinaldi and
Emilio Porcu},
title = {Advancing Space-Time Simulation of Random Fields: From
Storms to Cyclones and Beyond},
journal = {Water Resources Research},
url = {https://doi.org/10.1029/2020WR029466},
year = {2021},
}