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Intake-esm

An intake plugin for parsing an Earth System Model catalog and loading assets into xarray datasets.
https://github.com/intake/intake-esm

Category: Climate Change
Sub Category: Climate Data Access and Visualization

Keywords

cesm-lens climate-datasets cmip6 data-access data-catalog earth-system-model hacktoberfest intake pangeo

Keywords from Contributors

climate archiving climate-model climate-analysis compressed climate-science zarr observations catalogs intake-esm

Last synced: about 13 hours ago
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An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.

README.md

Intake-esm

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Motivation

Computer simulations of the Earth’s climate and weather generate huge amounts of data.
These data are often persisted on HPC systems or in the cloud across multiple data
assets of a variety of formats (netCDF, zarr, etc...). Finding, investigating,
loading these data assets into compute-ready data containers costs time and effort.
The data user needs to know what data sets are available, the attributes describing
each data set, before loading a specific data set and analyzing it.

Finding, investigating, loading these assets into data array containers
such as xarray can be a daunting task due to the large number of files
a user may be interested in. Intake-esm aims to address these issues by
providing necessary functionality for searching, discovering, data access/loading.

Overview

intake-esm is a data cataloging utility built on top of intake, pandas, and xarray, and it's pretty awesome!

  • Opening an ESM catalog definition file: An Earth System Model (ESM) catalog file is a JSON file that conforms
    to the ESM Collection Specification. When provided a link/path to an esm catalog file, intake-esm establishes
    a link to a database (CSV file) that contains data assets locations and associated metadata
    (i.e., which experiment, model, the come from). The catalog JSON file can be stored on a local filesystem
    or can be hosted on a remote server.

    
    In [1]: import intake
    
    In [2]: import intake_esm
    
    In [3]: cat_url = intake_esm.tutorial.get_url("google_cmip6")
    
    In [4]: cat = intake.open_esm_datastore(cat_url)
    
    In [5]: cat
    Out[5]: <GOOGLE-CMIP6 catalog with 4 dataset(s) from 261 asset(s>
    
  • Search and Discovery: intake-esm provides functionality to execute queries against the catalog:

    In [5]: cat_subset = cat.search(
       ...:     experiment_id=["historical", "ssp585"],
       ...:     table_id="Oyr",
       ...:     variable_id="o2",
       ...:     grid_label="gn",
       ...: )
    
    In [6]: cat_subset
    Out[6]: <GOOGLE-CMIP6 catalog with 4 dataset(s) from 261 asset(s)>
    
  • Access: when the user is satisfied with the results of their query, they can load data assets (netCDF and/or Zarr stores) into xarray datasets:

    
      In [7]: dset_dict = cat_subset.to_dataset_dict()
    
      --> The keys in the returned dictionary of datasets are constructed as follows:
              'activity_id.institution_id.source_id.experiment_id.table_id.grid_label'
      |███████████████████████████████████████████████████████████████| 100.00% [2/2 00:18<00:00]
    

See documentation for more information.

Installation

Intake-esm can be installed from PyPI with pip:

python -m pip install intake-esm

It is also available from conda-forge for conda installations:

conda install -c conda-forge intake-esm

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Name Email Commits
Anderson Banihirwe a****e@u****u 733
mclong m****g@u****u 77
pre-commit-ci[bot] 6****] 64
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Last synced: 1 day ago

Total issues: 228
Total pull requests: 454
Average time to close issues: 3 months
Average time to close pull requests: 5 days
Total issue authors: 64
Total pull request authors: 28
Average comments per issue: 3.73
Average comments per pull request: 1.02
Merged pull request: 427
Bot issues: 0
Bot pull requests: 114

Past year issues: 12
Past year pull requests: 40
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 6 days
Past year issue authors: 8
Past year pull request authors: 10
Past year average comments per issue: 3.75
Past year average comments per pull request: 0.63
Past year merged pull request: 36
Past year bot issues: 0
Past year bot pull requests: 22

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  • sadielbartholomew (2)
  • jbusecke (2)
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Package metadata

pypi.org: intake-esm

An intake plugin for parsing an Earth System Model (ESM) catalog and loading netCDF files and/or Zarr stores into Xarray datasets.

  • Homepage: https://intake-esm.readthedocs.io
  • Documentation: https://intake-esm.readthedocs.io
  • Licenses: Apache Software License 2.0
  • Latest release: 2025.2.3 (published 3 months ago)
  • Last Synced: 2025-04-25T13:05:31.974Z (1 day ago)
  • Versions: 27
  • Dependent Packages: 15
  • Dependent Repositories: 22
  • Downloads: 14,974 Last month
  • Docker Downloads: 1,563
  • Rankings:
    • Dependent packages count: 1.596%
    • Downloads: 1.872%
    • Docker downloads count: 2.319%
    • Dependent repos count: 3.12%
    • Average: 3.631%
    • Forks count: 6.29%
    • Stargazers count: 6.588%
  • Maintainers (3)
conda-forge.org: intake-esm

An intake plugin for parsing an Earth System Model (ESM) collection/catalog and loading assets (netCDF files and/or Zarr stores) into xarray data sets.

  • Homepage: https://github.com/intake/intake-esm
  • Licenses: Apache-2.0
  • Latest release: 2022.9.18 (published over 2 years ago)
  • Last Synced: 2025-04-25T13:05:45.443Z (1 day ago)
  • Versions: 19
  • Dependent Packages: 3
  • Dependent Repositories: 64
  • Rankings:
    • Dependent repos count: 4.392%
    • Dependent packages count: 15.638%
    • Average: 20.327%
    • Forks count: 28.355%
    • Stargazers count: 32.922%

Dependencies

requirements.txt pypi
  • dask >=2021.9
  • fastprogress >=1.0.0
  • fsspec >=2021.7.0
  • intake >=0.6.5
  • netCDF4 >=1.5.5
  • pydantic >=1.8.2
  • requests >=2.24.0
  • xarray >=0.19,
  • xcollection *
  • zarr >=2.5
.github/workflows/ci.yaml actions
  • actions/checkout v3 composite
  • codecov/codecov-action v3.1.1 composite
  • mamba-org/provision-with-micromamba main composite
.github/workflows/pypi.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish v1.6.4 composite
pyproject.toml pypi
ci/environment.yml conda
  • cftime
  • codecov
  • fastprogress >=1.0.0
  • fsspec >=2022.11.0
  • gcsfs >=2022.11.0
  • h5netcdf >=0.8.1
  • intake <2.0
  • ipython
  • matplotlib
  • netcdf4 >=1.5.5
  • pandas >=2.1.0
  • pip
  • pooch
  • pre-commit
  • pydantic >=2.0
  • pydap
  • pytest
  • pytest-cov
  • pytest-mock
  • pytest-sugar
  • pytest-xdist
  • s3fs >=2022.11.0
  • scipy
  • xarray >=2022.06
  • xarray-datatree
  • zarr >=2.12

Score: 18.15963735674229