Code for Pyqg Parameterization benchmarks from Ross et al. 2022 Pyqg_parameterization_benchmarks
Convolutional Neural Network subgrid momentum using CM2.6 data from Guillaumin and Zanna 2021: Ocean Momentum Parameterization
Parameterizations in pyqg: e.g., implementation of Zanna & Bolton 2020
MOM6 Implementation of data-driven parameterization: e.g., Zanna & Bolton 2020.
GCM-filter codes and datasets from Noose et al. 2022 on Github
Neverworld dataset from Marques et al. 2022 here
Added and Redistributed Heat from Bronselaer and Zanna, Nature, 2020 on Zenodo.
Ocean Heat Content and Thermosteric Sea level Reconstruction based on 1870-2018 from Zanna et al., PNAS, 2019 is on Zenodo; further details are here.
Datasets associated with “The causes of sea-level rise since 1900” manuscript are here.