Informational predictability, and an application to the intensity of high-resolution temporal rainfall-Reference-Cited by-同舟云学术

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Informational predictability, and an application to the intensity of high-resolution temporal rainfall

Published:2023-03-07 Issue:7 Volume:37 Page:2651-2656
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Fernández Méndez Félix,Gómez Larrañaga José Carlos,Carsteanu Alin Andrei

Funder

Consejo Nacional de Ciencia y Tecnología

Instituto Politécnico Nacional

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02410-7.pdf

Reference13 articles.

1. Bubenik P (2015) Statistical topological data analysis using persistence landscapes. J Mach Learn Res 16(1):77–102

2. Cover T, Thomas J (1991). Elements of Information Theory. ISBN 0-471-06259-6

3. d’Alessandro G, Politi A (1990) Hierarchical approach to complexity with applications to dynamical systems. Phys Rev Lett 64:1609–1612

4. Devaney RL (2003) An introduction to chaotic dynamical systems, 2nd edn. Westview Press, Boulder

5. Elsner JB, Tsonis AA (1993) Complexity and predictability of hourly precipitation. J Atmos Sci 50(3):400–405

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