Abstract

Demeter is an open source Python package that was built to disaggregate projections of future land allocations generated by an integrated assessment model (IAM). Projected land allocation from IAMs is traditionally transferred to Earth System Models (ESMs) in a variety of gridded formats and spatial resolutions as inputs for simulating biophysical and biogeochemical fluxes. Existing tools for performing this translation generally require a number of manual steps which introduces error and is inefficient. Demeter makes this process seamless and repeatable by providing gridded and land cover change (LULCC) products derived directly from an IAM—in this case, the Global Change Assessment Model (GCAM)—in a variety of formats and resolutions commonly used by ESMs. Demeter is publicly available via GitHub and has an extensible output module allowing for future ESM needs to be easily accommodated. Funding statement: This research was supported by the U.S. Department of Energy, Office of Science, as part of research in Multi-Sector Dynamics, Earth and Environmental System Modeling Program. It builds on previous work supported by the National Aeronautics and Space Administration Carbon Monitoring System and ACCESS programs under projects NNH12AU35I and NNH13AW58I, and by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multi-program national laboratory operated by Battelle for the U.S. Department of Energy under Contract DE-AC05- 76RL01830.

Highlights

  • Demeter is an open source Python package that was built to disaggregate projections of future land allocations generated by an integrated assessment model (IAM)

  • Existing tools for performing this translation generally require a number of manual steps which introduces error and is inefficient. Demeter makes this process seamless and repeatable by providing gridded and land cover change (LULCC) products derived directly from an IAM—in this case, the Global Change Assessment Model (GCAM)—in a variety of formats and resolutions commonly used by Earth System Models (ESMs)

  • It builds on previous work supported by the National Aeronautics and Space Administration Carbon Monitoring System and ACCESS programs under projects NNH12AU35I and NNH13AW58I, and by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multi-program national laboratory operated by Battelle for the U.S Department of Energy under Contract DE-AC0576RL01830

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Summary

SOFTWARE METAPAPER

Demeter was developed to refine this process to ensure ease-of-use, output format extensibility, and consistency in the disaggregation methodology among Earth system modelers who utilize global or national GCAM land allocation projections. This requires Demeter to produce gridded data in multiple formats and resolutions, allow users to provide pertinent constraints, evaluate time-series projection data in terms of LULCC, and much more. The following describes the requirements and format of each input Observed spatial data This file represents the area in square degrees of each land class existing within a grid cell.

Constraint weighting
Treatment order
Observational spatial data class allocation
Projected GCAM land class allocation
Factor to multiply the projected land allocation by diagnostic
Full Text
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