24 citations as recorded by crossref.

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6. 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
7. Estimating temporal and spatial variation of ocean surface <i>p</i>CO<sub>2</sub> in the North Pacific using a self-organizing map neural network technique S. Nakaoka et al. 10.5194/bg-10-6093-2013
8. A statistical gap‐filling method to interpolate global monthly surface ocean carbon dioxide data S. Jones et al. 10.1002/2014MS000416
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10. 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
11. A seamless ensemble-based reconstruction of surface ocean <i>p</i>CO<sub>2</sub> and air–sea CO<sub>2</sub> fluxes over the global coastal and open oceans T. Chau et al. 10.5194/bg-19-1087-2022
12. Investigating the complex relationship between in situ Southern Ocean $$pCO_{2}$$ p C O 2 and its ocean physics and biogeochemical drivers using a nonparametric regression approach W. Pretorius et al. 10.1007/s10651-014-0276-5
13. Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on CatBoost H. Sun et al. 10.3390/rs13142805
14. A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network J. Zeng et al. 10.1175/JTECH-D-13-00137.1
15. 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
16. 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
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21. 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
22. 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
23. 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
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