Probabilistic forecasting of the Arctic sea ice edge with contour modeling

DOI10.1214/20-AOAS1405zbMath1478.62353arXiv1908.09377OpenAlexW3178393835MaRDI QIDQ2245147

Hannah M. Director, Adrian E. Raftery, Cecilia M. Bitz

Publication date: 15 November 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.09377

zbMATH Keywords

forecastingpostprocessingmixturesclimate changespatiotemporal

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from stochastic processes and prediction (62M20) Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Climate science and climate modeling (86A08)

Related Items (1)

Probabilistic forecasts of arctic sea ice thickness

Uses Software

• Rcpp
• rgeos
• tidyverse
• SEAS5

Cites Work

• Unnamed Item
• Strictly and non-strictly positive definite functions on spheres
• Bayesian inference of spatio-temporal changes of arctic sea ice
• Excursion and Contour Uncertainty Regions for Latent Gaussian Models
• Probabilistic Forecasts, Calibration and Sharpness
• Credible regions for exceedance sets of geostatistical data

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