English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/27155
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Título

Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network

AutorTelszewski, Maciej; Padín, X. A. ; Ríos, Aida F.
Fecha de publicaciónago-2009
EditorCopernicus Publications
CitaciónBiogeosciences 6(8): 1405-1421 (2009)
ResumenHere we present monthly, basin-wide maps of the partial pressure of carbon dioxide (pCO2) for the North Atlantic on a 1° latitude by 1° longitude grid for years 2004 through 2006 inclusive. The maps have been computed using a neural network technique which reconstructs the non-linear relationships between three biogeochemical parameters and marine pCO2. A self organizing map (SOM) neural network has been trained using 389 000 triplets of the SeaWiFS-MODIS chlorophyll-a concentration, the NCEP/NCAR reanalysis sea surface temperature, and the FOAM mixed layer depth. The trained SOM was labelled with 137 000 underway pCO2 measurements collected in situ during 2004, 2005 and 2006 in the North Atlantic, spanning the range of 208 to 437 μatm. The root mean square error (RMSE) of the neural network fit to the data is 11.6 μatm, which equals to just above 3 per cent of an average pCO2 value in the in situ dataset. The seasonal pCO2 cycle as well as estimates of the interannual variability in the major biogeochemical provinces are presented and discussed. High resolution combined with basin-wide coverage makes the maps a useful tool for several applications such as the monitoring of basin-wide air-sea CO2 fluxes or improvement of seasonal and interannual marine CO2 cycles in future model predictions. The method itself is a valuable alternative to traditional statistical modelling techniques used in geosciences.
Descripción17 páginas, 13 figuras, 1 tabla.-- Telszewski, Maciej ... et al.
Versión del editorhttp://dx.doi.org/10.5194/bg-6-1405-2009
URIhttp://hdl.handle.net/10261/27155
DOI10.5194/bg-6-1405-2009
ISSN1726-4170
Aparece en las colecciones: (IIM) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
bg-6-1405-2009.pdf29,19 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.