Estimating temporal and spatial variation of ocean surface pCO2 in the North Pacific using a self-or...
Estimating temporal and spatial variation of ocean surface pCO2 in the North Pacific using a self-organizing map neural network technique
About this item
Full title
Author / Creator
Nakaoka, S , Telszewski, M , Nojiri, Y , Yasunaka, S , Miyazaki, C , Mukai, H and Usui, N
Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
More information
Scope and Contents
Contents
This study uses a neural network technique to produce maps of the partial pressure of oceanic carbon dioxide (pCO2sea ) in the North Pacific on a 0.25° latitude × 0.25° longitude grid from 2002 to 2008. The pCO2sea distribution was computed using a self-organizing map (SOM) originally utilized to map the pCO2sea in the North Atlantic. Four proxy pa...
Alternative Titles
Full title
Estimating temporal and spatial variation of ocean surface pCO2 in the North Pacific using a self-organizing map neural network technique
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2b155ec3ebdd4627b76fc61275a3b46b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b155ec3ebdd4627b76fc61275a3b46b
Other Identifiers
ISSN
1726-4170
E-ISSN
1726-4189
DOI
10.5194/bg-10-6093-2013
