Browsing Bergen Open Research Archive by Author "Barthelemy, Sebastien Jean-Claude"

Now showing items 1-4 of 4

    • Adaptive Covariance Hybridization for the Assimilation of SST Observations Within a Coupled Earth System Reanalysis 

      Barthelemy, Sebastien Jean-Claude; Counillon, Francois Stephane; Wang, Yiguo (Journal article; Peer reviewed, 2024)
      Ensemble data assimilation methods, such as the Ensemble Kalman Filter (EnKF), are well suited for climate reanalysis because they feature flow-dependent covariance. However, because Earth System Models are heavy ...

    • Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model 

      Wang, Yiguo; Counillon, Francois Stephane; Barthelemy, Sebastien Jean-Claude; Barth, Alexander (Journal article; Peer reviewed, 2022-12-15)
      Sea surface temperature (SST) observations are a critical data set for long-term climate reconstruction. However, their assimilation with an ensemble-based data assimilation method can degrade performance in the ocean ...

    • Hybrid covariance super-resolution data assimilation 

      Barthelemy, Sebastien Jean-Claude; Counillon, Francois Stephane; Brajard, Julien; Bertino, Laurent (Journal article; Peer reviewed, 2024)
      The super-resolution data assimilation (SRDA) enhances a low-resolution (LR) model with a Neural Network (NN) that has learned the differences between high and low-resolution models offline and performs data assimilation ...

    • Super-resolution data assimilation 

      Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent; Counillon, Francois Stephane (Journal article; Peer reviewed, 2022)
      Increasing model resolution can improve the performance of a data assimilation system because it reduces model error, the system can more optimally use high-resolution observations, and with an ensemble data assimilation ...