Bayesian Inference of Spatio-Temporal Changes of Arctic Sea Ice.

@article{Zhang2020BayesianIO,
  title={Bayesian Inference of Spatio-Temporal Changes of Arctic Sea Ice.},
  author={Bohai Zhang and Noel A Cressie},
  journal={arXiv: Applications},
  year={2020}
}
  • Bohai Zhang, Noel A Cressie
  • Published 2020
  • Mathematics
  • arXiv: Applications
  • Arctic sea ice extent has drawn increasing interest and alarm from geoscientists, owing to its rapid decline. In this article, we propose a Bayesian spatio-temporal hierarchical statistical model for binary Arctic sea ice data over two decades, where a latent dynamic spatio-temporal Gaussian process is used to model the data-dependence through a logit link function. Our ultimate goal is to perform inference on the dynamic spatial behavior of Arctic sea ice over a period of two decades… CONTINUE READING

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    SHOWING 1-10 OF 50 REFERENCES

    Observational determination of albedo decrease caused by vanishing Arctic sea ice

    VIEW 1 EXCERPT