MarineTools.temporal: A Python package to simulate Earth and environmental time series
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AuthorCobos Budia, Manuel; Otiñar Morillas, Pedro; Magaña Redondo, Pedro Javier; Baquerizo Azofra, Asunción
Time expansion of parametersNon-stationary probability modelsStochastic characterizationEnvironmental modelling
M. Cobos... [et al.]. MarineTools.temporal: A Python package to simulate Earth and environmental time series, Environmental Modelling & Software, Volume 150, 2022, 105359, ISSN 1364-8152, [https://doi.org/10.1016/j.envsoft.2022.105359]
SponsorshipSwedish Research Council Formas; Helmholtz Association; German Aerospace Centre (DLR); BMWFW; Spanish Government; French National Research Agency (ANR); European Commission European Commission Joint Research Centre; Ministry of Agriculture, Livestock, Fisheries and Sus-tainable Development of the Junta de Andalucia 690462; CONTR 2018 66984
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.