A convolution process on a directed network provides a covariance model for SST that respects physical barriers and currents, used to identify thermal hot spots via Monte Carlo RCP projections.
Spatial Models Generated by Nested Stochastic Partial Differential Equations, with an Application to Global Ozone Mapping , volume=
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A Convolution Process for Sea Surface Temperature Hot-Spot Identification in the Mediterranean Sea
A convolution process on a directed network provides a covariance model for SST that respects physical barriers and currents, used to identify thermal hot spots via Monte Carlo RCP projections.