@misc{10481/74837,
year = {2022},
month = {2},
url = {http://hdl.handle.net/10481/74837},
abstract = {The assessment of the uncertainty about the evolution of complex processes usually requires different realizations
consisting of multivariate temporal signals of environmental data. However, it is common to have only
one observational set. MarineTools.temporal is an open-source Python package for the non-stationary parametric
statistical analysis of vector random processes suitable for environmental and Earth modelling. It takes a single
timeseries of observations and allows the simulation of many time series with the same probabilistic behavior.
The software generalizes the use of piecewise and compound distributions with any number of arbitrary
continuous distributions. The code contains, among others, multi-model negative log-likely functions, wrappednormal
distributions, and generalized Fourier timeseries expansion. Its programming philosophy significantly
improves the computing time and makes it compatible with future extensions of scipy.stats. We apply it to the
analysis of freshwater river discharge, water currents, and the simulation of ensemble projections of sea waves,
to show its capabilities.},
organization = {Swedish Research Council Formas},
organization = {Helmholtz Association},
organization = {German Aerospace Centre (DLR)},
organization = {BMWFW},
organization = {Spanish Government},
organization = {French National Research Agency (ANR)},
organization = {European Commission
European Commission Joint Research Centre},
organization = {Ministry of Agriculture, Livestock, Fisheries and Sus-tainable Development of the Junta de Andalucia		
690462},
organization = {CONTR 2018 66984},
publisher = {Elsevier},
keywords = {Time expansion of parameters},
keywords = {Non-stationary probability models},
keywords = {Stochastic characterization},
keywords = {Environmental modelling},
title = {MarineTools.temporal: A Python package to simulate Earth and environmental time series},
doi = {10.1016/j.envsoft.2022.105359},
author = {Cobos Budia, Manuel and Otiñar Morillas, Pedro and Magaña Redondo, Pedro Javier and Baquerizo Azofra, Asunción},
}