Demeter - A Land Use and Land Cover Change Disaggregation Model. 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 land use 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.

LULCCland use and land cover change



Initial contribute: 2021-09-15


Pacific Northwest National Laboratory
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Application-focused categoriesIntegrated-perspectiveGlobal scale
Application-focused categoriesIntegrated-perspectiveRegional scale

Detailed Description

English {{currentDetailLanguage}} English

Coupled  models  and  initialization  procedures.  The  DEMETER  system  comprises  seven  global  coupled  ocean-atmosphere  models. A brief summary (detailed information on the  models and the initialization procedures can be found  on the DEMETER Web site  demeter/general/docmodel/index.html)  of the different  coupled  models  used  in  DEMETER  is given  in  Table  1. From  each  model,  except  that  of the  Max- Planck  Institute  (MPI),  uncertainties  in  the  initial  state  are represented  through  an  ensemble  of  nine  different ocean  initial  conditions  (Fig.  1). This  is  achieved by creating three different ocean analyses; a  control  ocean  analysis  is forced with  momentum,  heat, and mass flux data from the ECMWF 40-yr Re- analysis (ERA-40 henceforth; ERA-40 intends to pro- duce a global analysis of variables for the atmosphere,  land,  and  ocean  surface for the  period  1958-2001;  more information is available online at www.ecmwf.  int/research/era),  and  two perturbed  ocean  analyses  are created by adding daily wind stress perturbations  to  the  ERA-40  momentum  fluxes. The  wind  stress  perturbations  are  randomly  taken  from  a  set  of  monthly differences between two  quasi-independent  analyses. In addition, in order to represent the uncertainty in SSTs, four SST perturbations are added  and  subtracted at the start of the hindcasts. As in the case  of the wind perturbations, the SST perturbations  are  based on differences between two  quasi-independent  SST analyses.  Atmospheric  and  land  surface  initial  conditions  are taken  directly from ERA-40. A  separate ensemble initialization procedure is used for the  MPI model. Ocean data assimilation has been used in  the Met  Office experiment  after  1987 as well as in a  sensitivity experiment  carried  out with the  ECMWF  model.




Chris Vernon (2021). Demeter, Model Item, OpenGMS,


Initial contribute : 2021-09-15



Pacific Northwest National Laboratory
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