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Title: Demeter – A Land Use and Land Cover Change Disaggregation Model

Journal Article · · Journal of Open Research Software
DOI: https://doi.org/10.5334/jors.208 · OSTI ID:1525994
ORCiD logo [1];  [2];  [2]; ORCiD logo [1]; ORCiD logo [2];  [1];  [2]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), College Park, MD (United States)
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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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1525994
Report Number(s):
PNNL-SA-131044
Journal Information:
Journal of Open Research Software, Vol. 6, Issue 1; ISSN 2049-9647
Publisher:
Software Sustainability InstituteCopyright Statement
Country of Publication:
United States
Language:
English

References (3)

Downscaling land use and land cover from the Global Change Assessment Model for coupling with Earth system models journal January 2016
An integrated assessment of climate change and the accelerated introduction of advanced energy technologies: An application of MiniCAM 1.0 journal January 1997
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets journal January 2010

Cited By (5)

GCAM Version 2 Reference Scenario with Water Constraints Downscaled with Demeter to 5-arcmin (Irrigated, Rain-fed) dataset January 2019
GCAM Version 2 Reference Scenario with Water Constraints Downscaled with Demeter to 5-arcmin (Irrigated, Rain-fed) dataset January 2019
Calibration and analysis of the uncertainty in downscaling global land use and land cover projections from GCAM using Demeter (v1.0.0) journal January 2019
GCAM Version 2 Reference Scenario with Water Constraints Downscaled with Demeter to 5-arcmin (Irrigated, Rain-fed) dataset January 2019
GCAM Version 2 Reference Scenario with Water Constraints Downscaled with Demeter to 5-arcmin (Irrigated, Rain-fed) dataset January 2019

Figures / Tables (9)

Figure 1(p. 2)figure Figure 1
Figure 2(p. 2)figure Figure 2
Figure 3(p. 3)figure Figure 3
Figure 4(p. 4)figure Figure 4
Table 1(p. 5)table Table 1
Table 2(p. 5)table Table 2
Figure 5(p. 6)figure Figure 5
Table 3(p. 7)table Table 3
Table 3 (continued)(p. 8)table Table 3 (continued)

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Related Subjects

54 ENVIRONMENTAL SCIENCES
Global Change Assessment Model (GCAM)
Land-use land-cover change
LULCC
disaggregation
downscaling
integrated assessment
model
Python