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Tutorials

During the Hackathon, we will be running hands-on tutorials to demonstrate how to use the open-source software needed to access and analyse Near-Present Day simulation outputs stored in the cloud.

For those with limited Python experience, we would recommend working through Tutorial 0. Getting Started with xarray prior to the hackathon to better understand the key data structures and operations used throughout the hackathon.

Pre-Hackathon

  • 0. Getting Started with xarray

    Ocean models produce large, multi-dimensional fields (e.g. temperature, salinity, velocity) that vary in time and space and are described by physical coordinates (e.g., depth). xarray provides data structures that explicitly represent these dimensions and coordinates, rather than treating model outputs as anonymous multi-dimensional arrays.

    This Jupyter Notebook provides an introduction to xarray for ocean model analysis and is intended as a quick reference that you can return to during the hackathon and beyond.

Day 1

  • 1. Getting Started with OceanDataStore to access NOC NPD data via the cloud.

    In this Jupyter Notebook, we will demonstrate how to use the OceanDataCatalog API to explore the Near-Present-Day global ocean sea-ice simulations developed by the National Oceanography Centre as part of the Atlantic Climate and Environment Strategic Science (AtlantiS) programme.

    We will cover:

    • How to use the OceanDataCatalog to explore Spatio-Temporal Access Catalogs (STAC) exposing available collections of ocean model & observational data stored in the JASMIN Object Store.

    • How to search the OceanDataCatalog by collection, variable name, standard name or platform.

    • How to open and subset Analysis-Ready Cloud-Optimised (ARCO) datasets as lazy xarray Datasets.

  • 2. Getting Started with NEMO Cookbook to analyse NOC NPD data.

    In this Jupyter Notebook, we will demonstrate how to use the NEMODataTree object to analyse outputs of the Near-Present-Day global ocean sea-ice simulations.

    We will cover:

    • How to create NEMODataTree objects directly from netCDF files and Near-Present-Day outputs stored in the JASMIN object store using the OceanDataCatalog.

    • How to navigate and access NEMO output variables stored in a NEMODataTree.

    • How to open and subset Analysis-Ready Cloud-Optimised (ARCO) datasets as lazy xarray Datasets.

Day 2

  • 3. Running your own experiments with NOC NPD.

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