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On the recordRead 8 Oct 202619 facts
OpenSCM Two Layer Model
Plans and prices
Free software
Free
BSD 3-Clause licensed software
Read 8 Oct 2026 · github.com
On the record
- Assessment tools
- Noopenscm-two-layer-model.readthedocs.io · read 23 Sep 2026
- Authoring tools
- Noopenscm-two-layer-model.readthedocs.io · read 23 Sep 2026
- Delivery mode
- desktopopenscm-two-layer-model.readthedocs.io · read 23 Sep 2026
- Installation
- The repository README gives pip installation instructions and lists scmdata and tqdm as the package’s two dependencies.github.com · read 8 Oct 2026
- Integration note
- The documentation says FaIR implements a mathematically equivalent model under certain assumptions and expresses hope that this project could interface with FaIR; it does not state that an integration is available.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Intended users
- The interface is aimed at researchers and as an education tool.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Interface
- The project describes its interface as clean, modularised and extensible for a commonly used simple climate model.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Lesson library
- Noopenscm-two-layer-model.readthedocs.io · read 23 Sep 2026
- License
- The repository identifies the software as free software under the BSD 3-Clause License.github.com · read 8 Oct 2026
- Model variants
- The API documents a two-layer model and a mathematically equivalent two-timescale impulse-response model when state dependence is absent.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Offline access
- Yesopenscm-two-layer-model.readthedocs.io · read 23 Sep 2026
- Purpose
- The package implements two-layer, radiative-forcing-driven climate models by Held et al., Geoffroy et al. and Bloch-Johnson et al.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Research use
- The model was used as a point of comparison in Phase 1 of the Reduced Complexity Model Intercomparison Project.github.com · read 8 Oct 2026
- Scenario inputs
- The scenario-running API accepts ScmDataFrame, ScmRun, pyam.IamDataFrame, pandas DataFrame, NumPy array or string inputs.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Scenario outputs
- The scenario-running API returns an ScmRun containing the results, including drivers.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
- Support
- The project directs users with issues or feature requests to its GitHub issue tracker.github.com · read 8 Oct 2026
- 3D visuals
- Noopenscm-two-layer-model.readthedocs.io · read 23 Sep 2026
- Timestep constraint
- Scenario timesteps must be constant because the implementation uses a constant timestep.openscm-two-layer-model.readthedocs.io · read 8 Oct 2026
