A Global Surface Ocean fCO^sub 2^ Climatology Based on a Feed-Forward Neural Network
A Global Surface Ocean fCO^sub 2^ Climatology Based on a Feed-Forward Neural Network
About this item
Full title
Author / Creator
Zeng, J , Nojiri, Y , Landschützer, P , Telszewski, M and Nakaoka, S
Publisher
Boston: American Meteorological Society
Journal title
Language
English
Formats
Publication information
Publisher
Boston: American Meteorological Society
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Scope and Contents
Contents
A feed-forward neural network is used to create a monthly climatology of the sea surface fugacity of CO2 (fCO^sub 2^) on a 1° × 1° spatial resolution. Using 127880 data points from 1990 to 2011 in the track-gridded database of the Surface Ocean CO2 Atlas version 2.0 (Bakker et al.), the model yields a global mean fCO^sub 2^ increase rate of 1.50µat...
Alternative Titles
Full title
A Global Surface Ocean fCO^sub 2^ Climatology Based on a Feed-Forward Neural Network
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_1552845008
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1552845008
Other Identifiers
ISSN
0739-0572
E-ISSN
1520-0426
