EGU25-766, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-766
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Estimation of global satellite-derived chlorophyll-a as function of sea-surface height using shallow neural networks
David Rivas1, Filippa Fransner2,3, and Noel Keenlyside2,3,4
David Rivas et al.
  • 1CICESE, Oceanografía Biológica, Ensenada, Mexico (drivas@cicese.mx)
  • 2Geophysical Institute, University of Bergen, Bergen, Norway
  • 3Bjerknes Centre for Climate Research, Bergen, Norway
  • 4Nansen Environment and Remote Sensing Centre, Bergen, Norway

How to cite: Rivas, D., Fransner, F., and Keenlyside, N.: Estimation of global satellite-derived chlorophyll-a as function of sea-surface height using shallow neural networks, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-766, https://doi.org/10.5194/egusphere-egu25-766, 2025.

This abstract has been withdrawn on 25 Jul 2025.