ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

13 citations as recorded by crossref.

1. Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model C. Amadio et al.
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10. A CNN–LSTM Machine-Learning Method for Estimating Particulate Organic Carbon from Remote Sensing in Lakes B. Pan et al.
11. Ocean carbon from space: Current status and priorities for the next decade R. Brewin et al.
12. Real-time quality control of optical backscattering data from Biogeochemical-Argo floats G. Dall'Olmo et al.
13. Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean M. Galí et al.