Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 20
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

Viewed

Total article views: 704 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
481 179 44 704 33 30
  • HTML: 481
  • PDF: 179
  • XML: 44
  • Total: 704
  • BibTeX: 33
  • EndNote: 30
Views and downloads (calculated since 05 Oct 2023)
Cumulative views and downloads (calculated since 05 Oct 2023)

Viewed (geographical distribution)

Total article views: 704 (including HTML, PDF, and XML) Thereof 698 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
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.
Read more