Spatio-temporal interpolation of cloudy sst fields using conditional analog data assimilation

HIGHLIGHTS

• who: Ronan Fablet and colleagues from the (UNIVERSITY) have published the research work: Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation, in the Journal: (JOURNAL)
• what: The authors propose novel AnDA models which exploit auxiliary variables such as sea surface currents and significantly reduce the computational complexity of AnDA. The authors report relative improvement up to 40%/50% in terms of RMSE and also show a good parallelization performance which supports the feasibility of an upscaling on a global scale. An important goal of this study is to evaluate the computational . . .
  

   

  

  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.