Articles | Volume 17, issue 20
https://doi.org/10.5194/gmd-17-7347-2024
https://doi.org/10.5194/gmd-17-7347-2024
Model description paper
 | 
16 Oct 2024
Model description paper |  | 16 Oct 2024

PPCon 1.0: Biogeochemical-Argo profile prediction with 1D convolutional networks

Gloria Pietropolli, Luca Manzoni, and Gianpiero Cossarini

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Latest update: 09 Dec 2024
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Short summary
Monitoring the ocean is essential for studying marine life and human impact. Our new software, PPCon, uses ocean data to predict key factors like nitrate and chlorophyll levels, which are hard to measure directly. By leveraging machine learning, PPCon offers more accurate and efficient predictions.