A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean ca...
A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink
About this item
Full title
Author / Creator
Landschützer, P , Gruber, N , Bakker, D. C. E , Schuster, U , Nakaoka, S , Payne, M. R , Sasse, T. P and Zeng, J
Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
Subjects
More information
Scope and Contents
Contents
The Atlantic Ocean is one of the most important sinks for atmospheric carbon dioxide (CO2), but this sink has been shown to vary substantially in time. Here we use surface ocean CO2 observations to estimate this sink and the temporal variability from 1998 through 2007 in the Atlantic Ocean. We benefit from (i) a continuous improvement of the observ...
Alternative Titles
Full title
A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_38ad8a7a9465440796fa04007476c9b3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_38ad8a7a9465440796fa04007476c9b3
Other Identifiers
ISSN
1726-4189,1726-4170
E-ISSN
1726-4189
DOI
10.5194/bg-10-7793-2013
