Skip to content
Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask
Jupyter Notebook Dockerfile
Branch: master
Clone or download
andersy005 Merge pull request #13 from andersy005/master
Add TOC and format notebook
Latest commit 17f6d81 Oct 2, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.binder update dask config Sep 17, 2019
documentation Add files via upload Sep 30, 2019
intake-catalogs Add monthly historical runs Oct 2, 2019
notebooks Add TOC and format notebook Oct 2, 2019
.gitignore Initial commit Aug 27, 2019
.pre-commit-config.yaml Add ocean monthly Sep 3, 2019
LICENSE Initial commit Aug 27, 2019
README.md Add badge to readme Sep 17, 2019

README.md

CESM LENS on AWS

Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask

Re-create notebooks with Pangeo Binder

Try these notebooks on Pangeo Binder. Note that the session is ephemeral. Your home directory will not persist, so remember to download your notebooks if you made changes that you need to use at a later time!

badge

Intake Catalogs

The master intake catalog URL is:

https://raw.githubusercontent.com/NCAR/cesm-lens-aws/master/intake-catalogs/master.yaml

This catalog is an Intake catalog. The data is stored in Zarr format and meant to be opened with Xarray.

Requirements

Using this catalog requires the following package versions:

Examples

To open the catalog and load a dataset from Python, you can run the following code

import intake
cat_url = "https://raw.githubusercontent.com/NCAR/cesm-lens-aws/master/intake-catalogs/master.yaml"
cat = intake.Catalog(cat_url)
ds = cat.ice_northern_hemisphere_monthly.grid_cellmean_ice_thickness_RCP85.to_dask()

To explore the whole catalog, you can try:

cat.walk(depth=5)
You can’t perform that action at this time.