Articles | Volume 10, issue 9
https://doi.org/10.5194/bg-10-6093-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-6093-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimating temporal and spatial variation of ocean surface pCO2 in the North Pacific using a self-organizing map neural network technique
S. Nakaoka
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
M. Telszewski
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
now at: International Ocean Carbon Coordination Project, Institute of Oceanology of Polish Academy of Sciences, Ul. Powstańców Warszawy 55, 81-712 Sopot, Poland
Y. Nojiri
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
S. Yasunaka
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
C. Miyazaki
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
now at: Hokkaido University, Kita 8 Nishi 5, Kita-ku, Sapporo, Hokkaido 060-0810, Japan
H. Mukai
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
N. Usui
Meteorological Research Institute, 1-1 Nagamine, Tsukuba, Ibaraki 305-0052, Japan
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Cited
69 citations as recorded by crossref.
- Applications of Machine Learning in Chemical and Biological Oceanography B. Sadaiappan et al. 10.1021/acsomega.2c06441
- Reconstruction of monthly fCO2 distribution in the Ross Sea, Antarctica during 1998 -2018 using machine learning technique and observational data sets A. Mo et al. 10.22761/DJ2022..4.3.003
- A rare and extensive summer bloom enhanced by ocean eddies in the oligotrophic western North Pacific Subtropical Gyre C. Chow et al. 10.1038/s41598-017-06584-3
- Remote sensing the sea surface CO<sub>2</sub> of the Baltic Sea using the SOMLO methodology G. Parard et al. 10.5194/bg-12-3369-2015
- Global high-resolution monthly <i>p</i>CO<sub>2</sub> climatology for the coastal ocean derived from neural network interpolation G. Laruelle et al. 10.5194/bg-14-4545-2017
- Spatiotemporal variation in summer net community production in the Amundsen Sea Polynya: A self-organizing map analysis approach K. Park et al. 10.1016/j.csr.2019.07.001
- Estimating summer sea surface pCO2 on a river-dominated continental shelf using a satellite-based semi-mechanistic model C. Le et al. 10.1016/j.rse.2019.02.023
- Decadal vision in oceanography 2021: Air―sea boundary Y. Iwamoto et al. 10.5928/kaiyou.30.5_199
- Estimating marine carbon uptake in the northeast Pacific using a neural network approach P. Duke et al. 10.5194/bg-20-3919-2023
- Seasonal variability in the inorganic ocean carbon cycle in the Northwest Pacific evaluated using a biogeochemical and carbon model coupled with an operational ocean model M. Ishizu et al. 10.1007/s10584-020-02779-2
- Spatiotemporal weighted neural network reveals surface seawater pCO2 distributions and underlying environmental mechanisms in the North Pacific Ocean Y. Liu et al. 10.1016/j.jag.2024.104120
- Spatiotemporal characteristics of seasonal to multidecadal variability of pCO2 and air‐sea CO2 fluxes in the equatorial Pacific Ocean V. Valsala et al. 10.1002/2014JC010212
- Arctic Ocean CO<sub>2</sub> uptake: an improved multiyear estimate of the air–sea CO<sub>2</sub> flux incorporating chlorophyll <i>a</i> concentrations S. Yasunaka et al. 10.5194/bg-15-1643-2018
- A monthly surface <i>p</i>CO<sub>2</sub> product for the California Current Large Marine Ecosystem J. Sharp et al. 10.5194/essd-14-2081-2022
- Observation system simulation experiments in the Atlantic Ocean for enhanced surface ocean <i>p</i>CO<sub>2</sub> reconstructions A. Denvil-Sommer et al. 10.5194/os-17-1011-2021
- Nutrient and dissolved inorganic carbon variability in the North Pacific S. Yasunaka et al. 10.1007/s10872-020-00561-7
- Satellite-derived CO2 flux in the surface seawater of the Austral Ocean south of Australia M. Benallal et al. 10.1080/01431161.2017.1286054
- Rapid change of the Arctic climate system and its global influences - Overview of GRENE Arctic climate change research project (2011–2016) T. Yamanouchi & K. Takata 10.1016/j.polar.2020.100548
- Detecting Regional Modes of Variability in Observation‐Based Surface Ocean pCO2 P. Landschützer et al. 10.1029/2018GL081756
- Reconstruction of global surface ocean <i>p</i>CO<sub>2</sub> using region-specific predictors based on a stepwise FFNN regression algorithm G. Zhong et al. 10.5194/bg-19-845-2022
- A multi-decade record of high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT) D. Bakker et al. 10.5194/essd-8-383-2016
- Trends in pCO2 and sea–air CO2 flux over the global open oceans for the last two decades Y. Iida et al. 10.1007/s10872-015-0306-4
- Satellite estimation of coastal pCO2 and air-sea flux of carbon dioxide in the northern Gulf of Mexico S. Lohrenz et al. 10.1016/j.rse.2017.12.039
- A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
- LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean <i>p</i>CO<sub>2</sub> over the global ocean A. Denvil-Sommer et al. 10.5194/gmd-12-2091-2019
- Effect of seasonal change in gas transfer coefficient on air–sea CO2 flux in the western North Pacific X. Xiong et al. 10.1007/s10872-015-0313-5
- Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean <i>p</i>CO<sub>2</sub> Mapping intercomparison (SOCOM) C. Rödenbeck et al. 10.5194/bg-12-7251-2015
- Remote estimation of surface pCO2 on the West Florida Shelf S. Chen et al. 10.1016/j.csr.2016.09.004
- Contribution of Biological Effects to Carbonate‐System Variations and the Air–Water CO2 Flux in Urbanized Bays in Japan T. Tokoro et al. 10.1029/2020JC016974
- Spatio-temporal variability of surface water pCO2 and nutrients in the tropical Pacific from 1981 to 2015 S. Yasunaka et al. 10.1016/j.dsr2.2019.104680
- Decadal vision in oceanography 2021: Tropical oceans T. Doi et al. 10.5928/kaiyou.30.5_105
- Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on CatBoost H. Sun et al. 10.3390/rs13142805
- Estimating spatial and temporal variation in ocean surface pCO2 in the Gulf of Mexico using remote sensing and machine learning techniques Z. Fu et al. 10.1016/j.scitotenv.2020.140965
- Mapping of the air–sea CO2 flux in the Arctic Ocean and its adjacent seas: Basin-wide distribution and seasonal to interannual variability S. Yasunaka et al. 10.1016/j.polar.2016.03.006
- Using satellite data to estimate partial pressure of CO2 in the Baltic Sea G. Parard et al. 10.1002/2015JG003064
- The Distribution of pCO2W and Air-Sea CO2 Fluxes Using FFNN at the Continental Shelf Areas of the Arctic Ocean I. Wrobel-Niedzwiecka et al. 10.3390/rs14020312
- Remote Estimation of Sea Surface Nitrate in the California Current System From Satellite Ocean Color Measurements X. Yu et al. 10.1109/TGRS.2021.3095099
- Technical note: Evaluation of three machine learning models for surface ocean CO<sub>2</sub> mapping J. Zeng et al. 10.5194/os-13-303-2017
- The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle R. Latto & A. Romanou 10.5194/essd-10-609-2018
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- Trends and drivers in global surface ocean pH over the past 3 decades S. Lauvset et al. 10.5194/bg-12-1285-2015
- Impact of Alaska atmospheric blocking on the carbon flux in the Northeast Pacific Ocean H. Wang et al. 10.1016/j.marenvres.2024.106770
- Surface ocean CO2 concentration and air-sea flux estimate by machine learning with modelled variable trends J. Zeng et al. 10.3389/fmars.2022.989233
- A machine learning approach to estimate surface ocean pCO2 from satellite measurements S. Chen et al. 10.1016/j.rse.2019.04.019
- Quantifying the Atmospheric CO2 Forcing Effect on Surface Ocean pCO2 in the North Pacific Subtropical Gyre in the Past Two Decades S. Chen et al. 10.3389/fmars.2021.636881
- Reconstruction of monthly fCO2 distribution in the Ross Sea, Antarctica during 1998 -2018 using machine learning technique and observational data sets A. Mo et al. 10.22761/DJ2022.4.3.003
- An update to the Surface Ocean CO<sub>2</sub> Atlas (SOCAT version 2) D. Bakker et al. 10.5194/essd-6-69-2014
- Data-based estimates of interannual sea–air CO<sub>2</sub> flux variations 1957–2020 and their relation to environmental drivers C. Rödenbeck et al. 10.5194/bg-19-2627-2022
- Estimation of fire-induced carbon emissions from Equatorial Asia in 2015 using in situ aircraft and ship observations Y. Niwa et al. 10.5194/acp-21-9455-2021
- A Multiparametric Nonlinear Regression Approach for the Estimation of Global Surface Ocean pCO2 Using Satellite Oceanographic Data K. Krishna et al. 10.1109/JSTARS.2020.3026363
- Satellite-derived CO2fugacity in surface seawater of the tropical Atlantic Ocean using a feedforward neural network H. Moussa et al. 10.1080/01431161.2015.1131872
- Long-term surface pCO<sub>2</sub> trends from observations and models J. Tjiputra et al. 10.3402/tellusb.v66.23083
- Spatiotemporal reconstruction of global ocean surface pCO2 based on optimized random forest H. Wu et al. 10.1016/j.scitotenv.2023.169209
- Estimation of sea surface pCO2 and air–sea CO2 flux in the East China Sea using in-situ and satellite data over the period 2000–2016 J. Liu et al. 10.1016/j.csr.2022.104879
- Recent increase in oceanic carbon uptake driven by weaker upper-ocean overturning T. DeVries et al. 10.1038/nature21068
- Knowledge discovery through higher education census data S. Machado de CAMPOS et al. 10.1016/j.techfore.2019.119742
- Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 S. Zhang et al. 10.3390/rs14246196
- Research ReportDiurnal global ocean surface pCO2 and air–sea CO2 flux reconstructed from spaceborne LiDAR data S. Zhang et al. 10.1093/pnasnexus/pgad432
- Variability of pCO2 and FCO2 in the Mexican Pacific during 25 years L. Coronado-Álvarez et al. 10.1016/j.jmarsys.2022.103853
- Variations in the summer oceanic <i>p</i>CO<sub>2</sub> and carbon sink in Prydz Bay using the self-organizing map analysis approach S. Xu et al. 10.5194/bg-16-797-2019
- Estimating surface pCO2 in the northern Gulf of Mexico: Which remote sensing model to use? S. Chen et al. 10.1016/j.csr.2017.10.013
- A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network J. Zeng et al. 10.1175/JTECH-D-13-00137.1
- Statistical Analysis of Spatiotemporal Variations of Air‐Sea CO2 Fluxes in the Kuroshio Region T. Tokoro et al. 10.1029/2023JC019762
- Mapping of sea surface nutrients in the North Pacific: Basin-wide distribution and seasonal to interannual variability S. Yasunaka et al. 10.1002/2014JC010318
- Biological organic carbon export estimated from the annual carbon budget observed in the surface waters of the western subarctic and subtropical North Pacific Ocean from 2004 to 2013 M. Wakita et al. 10.1007/s10872-016-0379-8
- A novel sea surface pCO2-product for the global coastal ocean resolving trends over 1982–2020 A. Roobaert et al. 10.5194/essd-16-421-2024
- Remote Sensing Estimations of the Seawater Partial Pressure of CO₂ Using Sea Surface Roughness Derived From Synthetic Aperture Radar Y. Wang et al. 10.1109/TGRS.2024.3379984
- Monthly maps of sea surface dissolved inorganic carbon in the North Pacific: Basin‐wide distribution and seasonal variation S. Yasunaka et al. 10.1002/jgrc.20279
68 citations as recorded by crossref.
- Applications of Machine Learning in Chemical and Biological Oceanography B. Sadaiappan et al. 10.1021/acsomega.2c06441
- Reconstruction of monthly fCO2 distribution in the Ross Sea, Antarctica during 1998 -2018 using machine learning technique and observational data sets A. Mo et al. 10.22761/DJ2022..4.3.003
- A rare and extensive summer bloom enhanced by ocean eddies in the oligotrophic western North Pacific Subtropical Gyre C. Chow et al. 10.1038/s41598-017-06584-3
- Remote sensing the sea surface CO<sub>2</sub> of the Baltic Sea using the SOMLO methodology G. Parard et al. 10.5194/bg-12-3369-2015
- Global high-resolution monthly <i>p</i>CO<sub>2</sub> climatology for the coastal ocean derived from neural network interpolation G. Laruelle et al. 10.5194/bg-14-4545-2017
- Spatiotemporal variation in summer net community production in the Amundsen Sea Polynya: A self-organizing map analysis approach K. Park et al. 10.1016/j.csr.2019.07.001
- Estimating summer sea surface pCO2 on a river-dominated continental shelf using a satellite-based semi-mechanistic model C. Le et al. 10.1016/j.rse.2019.02.023
- Decadal vision in oceanography 2021: Air―sea boundary Y. Iwamoto et al. 10.5928/kaiyou.30.5_199
- Estimating marine carbon uptake in the northeast Pacific using a neural network approach P. Duke et al. 10.5194/bg-20-3919-2023
- Seasonal variability in the inorganic ocean carbon cycle in the Northwest Pacific evaluated using a biogeochemical and carbon model coupled with an operational ocean model M. Ishizu et al. 10.1007/s10584-020-02779-2
- Spatiotemporal weighted neural network reveals surface seawater pCO2 distributions and underlying environmental mechanisms in the North Pacific Ocean Y. Liu et al. 10.1016/j.jag.2024.104120
- Spatiotemporal characteristics of seasonal to multidecadal variability of pCO2 and air‐sea CO2 fluxes in the equatorial Pacific Ocean V. Valsala et al. 10.1002/2014JC010212
- Arctic Ocean CO<sub>2</sub> uptake: an improved multiyear estimate of the air–sea CO<sub>2</sub> flux incorporating chlorophyll <i>a</i> concentrations S. Yasunaka et al. 10.5194/bg-15-1643-2018
- A monthly surface <i>p</i>CO<sub>2</sub> product for the California Current Large Marine Ecosystem J. Sharp et al. 10.5194/essd-14-2081-2022
- Observation system simulation experiments in the Atlantic Ocean for enhanced surface ocean <i>p</i>CO<sub>2</sub> reconstructions A. Denvil-Sommer et al. 10.5194/os-17-1011-2021
- Nutrient and dissolved inorganic carbon variability in the North Pacific S. Yasunaka et al. 10.1007/s10872-020-00561-7
- Satellite-derived CO2 flux in the surface seawater of the Austral Ocean south of Australia M. Benallal et al. 10.1080/01431161.2017.1286054
- Rapid change of the Arctic climate system and its global influences - Overview of GRENE Arctic climate change research project (2011–2016) T. Yamanouchi & K. Takata 10.1016/j.polar.2020.100548
- Detecting Regional Modes of Variability in Observation‐Based Surface Ocean pCO2 P. Landschützer et al. 10.1029/2018GL081756
- Reconstruction of global surface ocean <i>p</i>CO<sub>2</sub> using region-specific predictors based on a stepwise FFNN regression algorithm G. Zhong et al. 10.5194/bg-19-845-2022
- A multi-decade record of high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT) D. Bakker et al. 10.5194/essd-8-383-2016
- Trends in pCO2 and sea–air CO2 flux over the global open oceans for the last two decades Y. Iida et al. 10.1007/s10872-015-0306-4
- Satellite estimation of coastal pCO2 and air-sea flux of carbon dioxide in the northern Gulf of Mexico S. Lohrenz et al. 10.1016/j.rse.2017.12.039
- A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
- LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean <i>p</i>CO<sub>2</sub> over the global ocean A. Denvil-Sommer et al. 10.5194/gmd-12-2091-2019
- Effect of seasonal change in gas transfer coefficient on air–sea CO2 flux in the western North Pacific X. Xiong et al. 10.1007/s10872-015-0313-5
- Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean <i>p</i>CO<sub>2</sub> Mapping intercomparison (SOCOM) C. Rödenbeck et al. 10.5194/bg-12-7251-2015
- Remote estimation of surface pCO2 on the West Florida Shelf S. Chen et al. 10.1016/j.csr.2016.09.004
- Contribution of Biological Effects to Carbonate‐System Variations and the Air–Water CO2 Flux in Urbanized Bays in Japan T. Tokoro et al. 10.1029/2020JC016974
- Spatio-temporal variability of surface water pCO2 and nutrients in the tropical Pacific from 1981 to 2015 S. Yasunaka et al. 10.1016/j.dsr2.2019.104680
- Decadal vision in oceanography 2021: Tropical oceans T. Doi et al. 10.5928/kaiyou.30.5_105
- Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on CatBoost H. Sun et al. 10.3390/rs13142805
- Estimating spatial and temporal variation in ocean surface pCO2 in the Gulf of Mexico using remote sensing and machine learning techniques Z. Fu et al. 10.1016/j.scitotenv.2020.140965
- Mapping of the air–sea CO2 flux in the Arctic Ocean and its adjacent seas: Basin-wide distribution and seasonal to interannual variability S. Yasunaka et al. 10.1016/j.polar.2016.03.006
- Using satellite data to estimate partial pressure of CO2 in the Baltic Sea G. Parard et al. 10.1002/2015JG003064
- The Distribution of pCO2W and Air-Sea CO2 Fluxes Using FFNN at the Continental Shelf Areas of the Arctic Ocean I. Wrobel-Niedzwiecka et al. 10.3390/rs14020312
- Remote Estimation of Sea Surface Nitrate in the California Current System From Satellite Ocean Color Measurements X. Yu et al. 10.1109/TGRS.2021.3095099
- Technical note: Evaluation of three machine learning models for surface ocean CO<sub>2</sub> mapping J. Zeng et al. 10.5194/os-13-303-2017
- The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle R. Latto & A. Romanou 10.5194/essd-10-609-2018
- Revisiting historical trends in the Eastern Boundary Upwelling Systems with a machine learning method D. Bustos et al. 10.3389/fmars.2024.1446766
- Air–sea CO<sub>2</sub> flux in the Pacific Ocean for the period 1990–2009 M. Ishii et al. 10.5194/bg-11-709-2014
- Trends and drivers in global surface ocean pH over the past 3 decades S. Lauvset et al. 10.5194/bg-12-1285-2015
- Impact of Alaska atmospheric blocking on the carbon flux in the Northeast Pacific Ocean H. Wang et al. 10.1016/j.marenvres.2024.106770
- Surface ocean CO2 concentration and air-sea flux estimate by machine learning with modelled variable trends J. Zeng et al. 10.3389/fmars.2022.989233
- A machine learning approach to estimate surface ocean pCO2 from satellite measurements S. Chen et al. 10.1016/j.rse.2019.04.019
- Quantifying the Atmospheric CO2 Forcing Effect on Surface Ocean pCO2 in the North Pacific Subtropical Gyre in the Past Two Decades S. Chen et al. 10.3389/fmars.2021.636881
- Reconstruction of monthly fCO2 distribution in the Ross Sea, Antarctica during 1998 -2018 using machine learning technique and observational data sets A. Mo et al. 10.22761/DJ2022.4.3.003
- An update to the Surface Ocean CO<sub>2</sub> Atlas (SOCAT version 2) D. Bakker et al. 10.5194/essd-6-69-2014
- Data-based estimates of interannual sea–air CO<sub>2</sub> flux variations 1957–2020 and their relation to environmental drivers C. Rödenbeck et al. 10.5194/bg-19-2627-2022
- Estimation of fire-induced carbon emissions from Equatorial Asia in 2015 using in situ aircraft and ship observations Y. Niwa et al. 10.5194/acp-21-9455-2021
- A Multiparametric Nonlinear Regression Approach for the Estimation of Global Surface Ocean pCO2 Using Satellite Oceanographic Data K. Krishna et al. 10.1109/JSTARS.2020.3026363
- Satellite-derived CO2fugacity in surface seawater of the tropical Atlantic Ocean using a feedforward neural network H. Moussa et al. 10.1080/01431161.2015.1131872
- Long-term surface pCO<sub>2</sub> trends from observations and models J. Tjiputra et al. 10.3402/tellusb.v66.23083
- Spatiotemporal reconstruction of global ocean surface pCO2 based on optimized random forest H. Wu et al. 10.1016/j.scitotenv.2023.169209
- Estimation of sea surface pCO2 and air–sea CO2 flux in the East China Sea using in-situ and satellite data over the period 2000–2016 J. Liu et al. 10.1016/j.csr.2022.104879
- Recent increase in oceanic carbon uptake driven by weaker upper-ocean overturning T. DeVries et al. 10.1038/nature21068
- Knowledge discovery through higher education census data S. Machado de CAMPOS et al. 10.1016/j.techfore.2019.119742
- Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 S. Zhang et al. 10.3390/rs14246196
- Research ReportDiurnal global ocean surface pCO2 and air–sea CO2 flux reconstructed from spaceborne LiDAR data S. Zhang et al. 10.1093/pnasnexus/pgad432
- Variability of pCO2 and FCO2 in the Mexican Pacific during 25 years L. Coronado-Álvarez et al. 10.1016/j.jmarsys.2022.103853
- Variations in the summer oceanic <i>p</i>CO<sub>2</sub> and carbon sink in Prydz Bay using the self-organizing map analysis approach S. Xu et al. 10.5194/bg-16-797-2019
- Estimating surface pCO2 in the northern Gulf of Mexico: Which remote sensing model to use? S. Chen et al. 10.1016/j.csr.2017.10.013
- A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network J. Zeng et al. 10.1175/JTECH-D-13-00137.1
- Statistical Analysis of Spatiotemporal Variations of Air‐Sea CO2 Fluxes in the Kuroshio Region T. Tokoro et al. 10.1029/2023JC019762
- Mapping of sea surface nutrients in the North Pacific: Basin-wide distribution and seasonal to interannual variability S. Yasunaka et al. 10.1002/2014JC010318
- Biological organic carbon export estimated from the annual carbon budget observed in the surface waters of the western subarctic and subtropical North Pacific Ocean from 2004 to 2013 M. Wakita et al. 10.1007/s10872-016-0379-8
- A novel sea surface pCO2-product for the global coastal ocean resolving trends over 1982–2020 A. Roobaert et al. 10.5194/essd-16-421-2024
- Remote Sensing Estimations of the Seawater Partial Pressure of CO₂ Using Sea Surface Roughness Derived From Synthetic Aperture Radar Y. Wang et al. 10.1109/TGRS.2024.3379984
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