Simulation data for calibration in MOM6

Data used to obtain results for paper: Calibration of a neural network ocean closure for improved mean state and variability by Pavel Perezhogin, Alistair Adcroft and Laure Zanna Coarse simulations in Double Gyre: DoubleGyre-Coarse_Simulations.zip Coarse simulations in NeverWorld2: NeverWorld2-Coarse_Simulations-Unparameterized.zip NeverWorld2-Coarse_Simulations-Offline-trained-eANN.zip NeverWorld2-Coarse_Simulations-Calibrated-eANN-DG.zip NeverWorld2-Coarse_Simulations-Calibrated-eANN-NW2.zip Filtered high-resolution simulations: DoubleGyre-Filtered_Coarsegrained_HighResolution_Simulation.zip NeverWorld2-Filtered_Coarsegrained_HighResolution_Simulation.zip Observational vectors derived from high-resolution simulations: DoubleGyre-Observational_Vector.zip NeverWorld2-Observational_Vector.zip Initial condition used in short calibration runs in NW2: NeverWorld2-Initial_Condition.zip Offline analysis of calibrated parameterization in CM2.6 dataset: Offline-analysis-CM2.6-offline-trained-eANN.zip Offline-analysis-CM2.6-calibrated-eANN-NW2.zip Offline-analysis-CM2.6-calibrated-eANN-DG.zip