Data-Driven Discrete Spatio-Temporal Models: Problems, Methods and an Arctic Sea Ice Application

• Main Author: de Wiljes, Jana
• Other Authors: w, Prof. Dr.-Ing Rupert Klein, Prof. Dr. Illia Horenko
• Format: Doctoral or Postdoctoral Thesis
• Language: English
• Published: 2015
• Subjects: non-stationary; nonhomogeneous; Markov regression; discrete spatiotemporal time-series analysis; ddc:500; ddc:510; ddc:518; Arctic; Illia; Arktis*; Sea ice
• Online Access: https://refubium.fu-berlin.de/handle/fub188/54; https://doi.org/10.17169/refubium-4258; https://nbn-resolving.org/urn:nbn:de:kobv:188-fudissthesis000000098296-3

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...