Hierarchical and exploratory statistical methods for ocean science
Hierarchical and exploratory statistical methods for ocean science
Editor(s): C. Wikle
Over the last two decades, there have been a number of statisticians and their collaborators who have applied modern hierarchical statistical methods to complex processes in the ocean. This has spanned the gamut of spatial, temporal and trophic scales, as well as the types of processes – physical, biogeochemical, biological, and remote impacts. This special issue seeks to bring together some of the important researchers in this area and cover each of these central processes.

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14 Dec 2016
Weak constraint four-dimensional variational data assimilation in a model of the California Current System
William J. Crawford, Polly J. Smith, Ralph F. Milliff, Jerome Fiechter, Christopher K. Wikle, Christopher A. Edwards, and Andrew M. Moore
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 171–192, https://doi.org/10.5194/ascmo-2-171-2016,https://doi.org/10.5194/ascmo-2-171-2016, 2016
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14 Nov 2016
Analysis of variability of tropical Pacific sea surface temperatures
Georgina Davies and Noel Cressie
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 155–169, https://doi.org/10.5194/ascmo-2-155-2016,https://doi.org/10.5194/ascmo-2-155-2016, 2016
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02 Aug 2016
A space–time statistical climate model for hurricane intensification in the North Atlantic basin
Erik Fraza, James B. Elsner, and Thomas H. Jagger
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 105–114, https://doi.org/10.5194/ascmo-2-105-2016,https://doi.org/10.5194/ascmo-2-105-2016, 2016
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