Publications (1-3 of 3)

1. Benchmarking probabilistic machine learning models for arctic sea ice forecasting

   23 Jul 2024 | Contributor(s):: Sahara Ali, Seraj Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana Janeja

   The Arctic is a region with unique climate features, motivating new AI methodologies to study it. Unfortunately, Arctic sea ice has seen a continuous decline since 1979. This not only poses a significant threat to Arctic wildlife and surrounding coastal communities but is also adversely affecting...

2. Supplementary material for Newhall and Pallister (2014) Using multiple data sets to populate probabilistic volcanic event trees

   27 Sep 2017 | Contributor(s):: Chris Newhall, John S Pallister

   For probabilistic forecasting in volcanology, two widely used methods are the Cooke method (Aspinall and others) and BET-EF (Marzocchi and others).   The paper noted in the title, in Papale P (ed), Volcanic Hazards, Risks and Disasters. Academic Press, describes...

3. Cost/benefit Analysis: Guidelines for quantitative protocols for volcanic risk reduction

   24 Aug 2015 | Contributor(s):: dmitri rouwet

   The goal of this deliverable is to provide guidelines that may allow scientists and decision makers tobridge the gap between volcanological knowledge and a rational decision making. Part of thecontent of this document has been published on the paper W. Marzocchi, C.G. Newhall, G. Woo(2012). The...