Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network
International audience Here we present monthly, basin-wide maps of the partial pressure of carbon dioxide (pCO 2 ) 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 n...
Main Authors: | , , , , , , , , , , , , , , , , , |
---|---|
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2009
|
Subjects: | |
Online Access: | https://hal.science/hal-04113594 https://doi.org/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 |
id |
ftceafr:oai:HAL:hal-04113594v1 |
---|---|
record_format |
openpolar |
spelling |
ftceafr:oai:HAL:hal-04113594v1 2024-09-15T18:21:50+00:00 Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network Telszewski, M. Chazottes, A. Schuster, U. Watson, A. J. Moulin, C. Bakker, D. C. E. González-Dávila, M. Johannessen, T. Körtzinger, A. Lüger, H. Olsen, A. Omar, A. Padin, X. A. Ríos, A. F. Steinhoff, T. Santana-Casiano, M. Wallace, D. W. R. Wanninkhof, R. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) Commissariat à l'énergie atomique et aux énergies alternatives (CEA) 2009 https://hal.science/hal-04113594 https://doi.org/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 hal-04113594 https://hal.science/hal-04113594 BIBCODE: 2009BGeo.6.1405T doi:10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 ISSN: 1726-4170 EISSN: 1726-4189 Biogeosciences https://hal.science/hal-04113594 Biogeosciences, 2009, 6, pp.1405-1421. ⟨10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009⟩ Earth Science [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2009 ftceafr https://doi.org/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 2024-07-22T13:06:21Z International audience Here we present monthly, basin-wide maps of the partial pressure of carbon dioxide (pCO 2 ) 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 pCO 2 . 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 pCO 2 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 pCO 2 value in the in situ dataset. The seasonal pCO 2 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 CO 2 fluxes or improvement of seasonal and interannual marine CO 2 cycles in future model predictions. The method itself is a valuable alternative to traditional statistical modelling techniques used in geosciences. Article in Journal/Newspaper North Atlantic HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
institution |
Open Polar |
collection |
HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
op_collection_id |
ftceafr |
language |
English |
topic |
Earth Science [SDU]Sciences of the Universe [physics] |
spellingShingle |
Earth Science [SDU]Sciences of the Universe [physics] Telszewski, M. Chazottes, A. Schuster, U. Watson, A. J. Moulin, C. Bakker, D. C. E. González-Dávila, M. Johannessen, T. Körtzinger, A. Lüger, H. Olsen, A. Omar, A. Padin, X. A. Ríos, A. F. Steinhoff, T. Santana-Casiano, M. Wallace, D. W. R. Wanninkhof, R. Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network |
topic_facet |
Earth Science [SDU]Sciences of the Universe [physics] |
description |
International audience Here we present monthly, basin-wide maps of the partial pressure of carbon dioxide (pCO 2 ) 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 pCO 2 . 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 pCO 2 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 pCO 2 value in the in situ dataset. The seasonal pCO 2 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 CO 2 fluxes or improvement of seasonal and interannual marine CO 2 cycles in future model predictions. The method itself is a valuable alternative to traditional statistical modelling techniques used in geosciences. |
author2 |
Laboratoire des Sciences du Climat et de l'Environnement (LSCE) Commissariat à l'énergie atomique et aux énergies alternatives (CEA) |
format |
Article in Journal/Newspaper |
author |
Telszewski, M. Chazottes, A. Schuster, U. Watson, A. J. Moulin, C. Bakker, D. C. E. González-Dávila, M. Johannessen, T. Körtzinger, A. Lüger, H. Olsen, A. Omar, A. Padin, X. A. Ríos, A. F. Steinhoff, T. Santana-Casiano, M. Wallace, D. W. R. Wanninkhof, R. |
author_facet |
Telszewski, M. Chazottes, A. Schuster, U. Watson, A. J. Moulin, C. Bakker, D. C. E. González-Dávila, M. Johannessen, T. Körtzinger, A. Lüger, H. Olsen, A. Omar, A. Padin, X. A. Ríos, A. F. Steinhoff, T. Santana-Casiano, M. Wallace, D. W. R. Wanninkhof, R. |
author_sort |
Telszewski, M. |
title |
Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network |
title_short |
Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network |
title_full |
Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network |
title_fullStr |
Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network |
title_full_unstemmed |
Estimating the monthly pCO 2 distribution in the North Atlantic using a self-organizing neural network |
title_sort |
estimating the monthly pco 2 distribution in the north atlantic using a self-organizing neural network |
publisher |
HAL CCSD |
publishDate |
2009 |
url |
https://hal.science/hal-04113594 https://doi.org/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 1726-4170 EISSN: 1726-4189 Biogeosciences https://hal.science/hal-04113594 Biogeosciences, 2009, 6, pp.1405-1421. ⟨10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 hal-04113594 https://hal.science/hal-04113594 BIBCODE: 2009BGeo.6.1405T doi:10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 |
op_doi |
https://doi.org/10.5194/bg-6-1405-200910.5194/bgd-6-3373-2009 |
_version_ |
1810460818035179520 |