Lsce-ffnn-v1: a two-step neural network model for the reconstruction of surface ocean p co over the global ocean

HIGHLIGHTS

• who: Anna Denvil-Sommer and colleagues from the CNRS/CEA/UVSQ/UnivParis-Saclay, Orme des Merisiers, Gif Sur Yvette, France have published the article: LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean p CO over the global ocean, in the Journal: (JOURNAL) of 27/Oct/2017
• what: The model captured the strong interannual variability of surface ocean pCO2 with reasonable skill over the equatorial Pacific associated with ENSO (the El Niño-Southern Oscillation). This study proposes an alternative implementation of a neural_network applied to the reconstruction of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.