Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network
Here 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 b...
Published in: | Biogeosciences |
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Main Authors: | , , , , , , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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Online Access: | http://hdl.handle.net/10553/1247 https://doi.org/10.5194/bg-6-1405-2009 |
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ftunivlaspalmas:oai:https://accedacris.ulpgc.es:10553/49812 2023-05-15T17:29:11+02:00 Estimating the monthly pCO2 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. Departamento de Química 33267849000 15622887200 23478875000 7403383819 55695066300 7102601507 6603931257 7004349500 6602001734 57094921600 7202795681 7202864083 16301932800 7103240290 26030671700 6701344294 7402643237 56264081100 QUIMA Química Facultad de Ciencias del Mar 2945630 4994902 1053589 26576 67715 485704 518149 426545 463070 6306279 559125 1207754 1587730 329342 2098340 5110756 361929 156984 2009 application/pdf http://hdl.handle.net/10553/1247 https://doi.org/10.5194/bg-6-1405-2009 eng eng 1726-4170 Biogeosciences 1726-4170 Hosting http://hdl.handle.net/10553/1247 doi:10.5194/bg-6-1405-2009 69249091016 2-s2.0-69249091016 000269405000004 574875 582936 -;-;-;-;-;-;2199;-;-;-;-;-;-;1562;-;- 1421 8 1405 6 WOS:000269405000004 A-1511-2011 K-5058-2014 K-4958-2014 A-4141-2014 E-4951-2015 No ID No ID by-nc-nd info:eu-repo/semantics/openAccess CC-BY-NC-ND Biogeosciences [ISSN 1726-4170], v. 6 (8), p. 1405-1421 251002 Oceanografía química Ciclo del carbono Biogeoquímica Atlántico Norte info:eu-repo/semantics/article Article 2009 ftunivlaspalmas https://doi.org/10.5194/bg-6-1405-2009 2019-09-08T16:51:22Z Here 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. Article in Journal/Newspaper North Atlantic Universidad de Las Palmas de Gran Canaria: Acceda Triplets ENVELOPE(-59.750,-59.750,-62.383,-62.383) Biogeosciences 6 8 1405 1421 |
institution |
Open Polar |
collection |
Universidad de Las Palmas de Gran Canaria: Acceda |
op_collection_id |
ftunivlaspalmas |
language |
English |
topic |
251002 Oceanografía química Ciclo del carbono Biogeoquímica Atlántico Norte |
spellingShingle |
251002 Oceanografía química Ciclo del carbono Biogeoquímica Atlántico Norte 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 pCO2 distribution in the North Atlantic using a self-organizing neural network |
topic_facet |
251002 Oceanografía química Ciclo del carbono Biogeoquímica Atlántico Norte |
description |
Here 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. |
author2 |
Departamento de Química 33267849000 15622887200 23478875000 7403383819 55695066300 7102601507 6603931257 7004349500 6602001734 57094921600 7202795681 7202864083 16301932800 7103240290 26030671700 6701344294 7402643237 56264081100 QUIMA Química Facultad de Ciencias del Mar 2945630 4994902 1053589 26576 67715 485704 518149 426545 463070 6306279 559125 1207754 1587730 329342 2098340 5110756 361929 156984 |
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 pCO2 distribution in the North Atlantic using a self-organizing neural network |
title_short |
Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network |
title_full |
Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network |
title_fullStr |
Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network |
title_full_unstemmed |
Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network |
title_sort |
estimating the monthly pco2 distribution in the north atlantic using a self-organizing neural network |
publisher |
1726-4170 |
publishDate |
2009 |
url |
http://hdl.handle.net/10553/1247 https://doi.org/10.5194/bg-6-1405-2009 |
long_lat |
ENVELOPE(-59.750,-59.750,-62.383,-62.383) |
geographic |
Triplets |
geographic_facet |
Triplets |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Biogeosciences [ISSN 1726-4170], v. 6 (8), p. 1405-1421 |
op_relation |
Biogeosciences 1726-4170 Hosting http://hdl.handle.net/10553/1247 doi:10.5194/bg-6-1405-2009 69249091016 2-s2.0-69249091016 000269405000004 574875 582936 -;-;-;-;-;-;2199;-;-;-;-;-;-;1562;-;- 1421 8 1405 6 WOS:000269405000004 A-1511-2011 K-5058-2014 K-4958-2014 A-4141-2014 E-4951-2015 No ID No ID |
op_rights |
by-nc-nd info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.5194/bg-6-1405-2009 |
container_title |
Biogeosciences |
container_volume |
6 |
container_issue |
8 |
container_start_page |
1405 |
op_container_end_page |
1421 |
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1766122832685694976 |