A Multifidelity Framework and Uncertainty Quantification for Sea Surface Temperature in the Massachusetts and Cape Cod Bays

A Multifidelity Framework and Uncertainty Quantification for Sea Surface Temperature in the Massachusetts and Cape Cod Bays

Abstract We present a multifidelity framework to analyze and hindcast predictions of sea surface temperature (SST) in the Massachusetts and Cape Cod Bays, which is a critical area for its ecological significance, sustaining fisheries and the blue economy of the region. Currently, there is a lack of...

Full description

Bibliographic Details
Main Authors: H. Babaee, C. Bastidas, M. DeFilippo, C. Chryssostomidis, G. E. Karniadakis
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-02-01
Series:Earth and Space Science
Subjects:
machine learning
periodic kernels
Gaussian processes
satellite data
Online Access:https://doi.org/10.1029/2019EA000954

Internet

https://doi.org/10.1029/2019EA000954

Similar Items