Data-Driven Discrete Spatio-Temporal Models: Problems, Methods and an Arctic Sea Ice Application : Datenbasierte diskrete Raum-Zeit-Modelle: Probleme, Methoden und eine arktische Meereis Anwendung

• Main Author: De Wiljes, Jana
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Freie Universität Berlin 2015
• Subjects: non-stationary; nonhomogeneous; Markov regression; discrete spatiotemporal time-series analysis; 500 Naturwissenschaften und Mathematik; 500 Naturwissenschaften und Mathematik510 Mathematik; 500 Naturwissenschaften und Mathematik510 Mathematik518 Numerische Analysis; Arctic; Illia; Arktis; Arktis*; Sea ice
• Online Access: https://dx.doi.org/10.17169/refubium-4258; https://refubium.fu-berlin.de/handle/fub188/54

Many natural phenomena are governed by forces on multiple spatial and temporal scales. Yet, it is often not a computationally feasible option to describe the intrinsically multiscale interactions via a deterministic model. Consequently, there is a need to go beyond purely deterministic modeling and...