Skip to main content

Earth system model benchmarking

Project description

Experimental version under development

Continuous Integration Documentation Status Code Coverage Status

ILAMB - International Land Model Benchmarking

The python package designed to help confront earth system models with reference data products, and then present the results in a hierarchical set of webpages. Please see ilamb.org where we have details about the datasets we use, the results we catalog, and the methods we employ.

This package is being developed and not currently listed in PyPI or conda-forge. You may install it directly from this repository:

pip install git+https://github.com/rubisco-sfa/ilamb3

The above command will install the latest code from the repository. We will make releases as new methods and functionality are ready, updating the documentation as we develop. To install a specific version of the code, append it to the URL. The following will install the released version v2025.5.20:

pip install git+https://github.com/rubisco-sfa/ilamb3@v2025.5.20

Eventually this package will replace the current ILAMB package. Consult the documentation for more information on current status and to see what is functional.

Funding

This research was performed for the Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area, which is sponsored by the Regional and Global Climate Modeling (RGCM) Program in the Climate and Environmental Sciences Division (CESD) of the Biological and Environmental Research (BER) Program in the U.S. Department of Energy Office of Science.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ilamb3-2025.9.9.tar.gz (430.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ilamb3-2025.9.9-py3-none-any.whl (98.7 kB view details)

Uploaded Python 3

File details

Details for the file ilamb3-2025.9.9.tar.gz.

File metadata

  • Download URL: ilamb3-2025.9.9.tar.gz
  • Upload date:
  • Size: 430.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.15

File hashes

Hashes for ilamb3-2025.9.9.tar.gz
Algorithm Hash digest
SHA256 fd0c3e55c322dbf0ad74ea82c26c10543e507cab64cd89c7a0b83aa894062987
MD5 a23d470b77e3983686e02eb8bf2bdb90
BLAKE2b-256 3a924026b03878bc64cb46d4cf8f87fe66ab8472f7040a1c7b13f45c8c764a39

See more details on using hashes here.

File details

Details for the file ilamb3-2025.9.9-py3-none-any.whl.

File metadata

  • Download URL: ilamb3-2025.9.9-py3-none-any.whl
  • Upload date:
  • Size: 98.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.15

File hashes

Hashes for ilamb3-2025.9.9-py3-none-any.whl
Algorithm Hash digest
SHA256 8b091f59798e663ea4055e606b66c938d850a26191b3425d6e30eb2f89857a0a
MD5 7eadb10e72f318e7715b31645522f2df
BLAKE2b-256 a5a4b2e5838f73306f639ffe5c621f46f2ef1841206c5b9f88609875d5142446

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page