The International Land Model Benchmarking (ILAMB) project is a model-data intercomparison and integration project designed to improve the performance of land models and, in parallel, improve the design of new measurement campaigns to reduce uncertainties associated with key land surface processes. Building upon past model evaluation studies, the goals of ILAMB are to:
develop internationally accepted benchmarks for land model performance, promote the use of these benchmarks by the international community for model intercomparison,
strengthen linkages between experimental, remote sensing, and climate modeling communities in the design of new model tests and new measurement programs, and
support the design and development of a new, open source, benchmarking software system for use by the international community.
It is the last of these goals to which this repository is concerned. We have developed a python-based generic benchmarking system, initially focused on assessing land model performance.
Useful Information
Documentation of the public API is included in the repository, but also hosted if you follow the link.
Sample output gives you an idea of the scope and magnitude of the package capabilities.
You may cite the software package by using the following reference (DOI:10.18139/ILAMB.v002.00/1251621).
Funding
This research was performed for the Biogeochemistry–Climate Feedbacks 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.
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