A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network
A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network
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Publisher
Boston: American Meteorological Society
Journal title
Language
English
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Publisher
Boston: American Meteorological Society
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Contents
A feed-forward neural network is used to create a monthly climatology of the sea surface fugacity of CO2 (fCO2) on a 1° × 1° spatial resolution. Using 127 880 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 fCO2 increase rate of 1.50 μatm yr−1. Th...
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Full title
A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network
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TN_cdi_proquest_journals_2826237964
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2826237964
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ISSN
0739-0572
E-ISSN
1520-0426
DOI
10.1175/JTECH-D-13-00137.1
