Code

Public repository and data access

Machine learning tutorials and tools


Geospatial ML prediction workflow

Machine Learning tutorial for Lorenz 96

Software packages


Models and implementations of parameterizations


Implementation of data-driven parameterizations in MOM6

Ocean parameterizations


Atmosphere parameterizations


Sea Ice parameterizations


Datasets


Benchmark

Usage example:

import xarray as xr
import fsspec
# Datasets are hosted on globus as zarr files
def get_dataset(
    path,
    base_url="https://g-402b74.00888.8540.data.globus.org"
    ):
    mapper = fsspec.get_mapper(f"{base_url}/{path}.zarr")
    return xr.open_zarr(mapper, consolidated=True)

In the cloud

CM2.6

Usage example:

import xarray as xr
import gcsfs
fs = gcsfs.GCSFileSystem()
fs.ls("gs://leap-persistent-ro/groundpepper/GFDL_cm2.6")
ds = xr.open_dataset(
    'gs://leap-persistent-ro/groundpepper/GFDL_cm2.6/
    GFDL_CM2_6_CONTROL_DAILY_SURF.zarr',
     engine='zarr')