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

Pietropolli, Gloria; Manzoni, Luca; Cossarini, Gianpiero

doi:https://doi.org/10.5194/gmd-17-7347-2024

Articles | Volume 17, issue 20

https://doi.org/10.5194/gmd-17-7347-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-7347-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 20

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

Data sets

Mediterranean Quality checked BGC-Argo 2013-2022 dataset C. Amadio et al. https://doi.org/10.5281/zenodo.10391759

Model code and software

PPCon 1.0: Biogeochemical Argo Profile Prediction with 1D Convolutional Networks G. Pietropolli et al. https://doi.org/10.5281/zenodo.13126961

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.