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Use new rawdatasets from Peter Lawrence that have crop landunit changing in size as well as specific crop and natural vegetation types. Modify mksurfdata_map to use new fields for fertilizer for each crop type. Add in harvest fields to both surface dataset as well as landuse.timeseries dataset. Also add in two new fields: UNREPRESENTED_PFT_LULCC, UNREPRESENTED_CFT_LULCC for the impact of landuse changes for natural and crop vegetation types. Currently these two fields are zeroed out. But, they will be added in with a new update to the datasets. Implement crop fertilizer for each crop type into CLM. The fertilizer is also moved from one crop type to another by the mapping system between the different crop types (to handle unrepresented crop types by mapping them to one that is represented). The new datasets also have harvest fields in units by mass rather than area. This requires new surface and landuse.timeseries datasets. We have hand-edited versions from Peter Lawrence for f09 and f19. The older datasets for other resolutions still work, but they don't have the new fertilizer field so anthropogenic fertilizer is zeroed out. NOTE: Capability to create rcp scenarios for landuse.timeseries was removed from mksurfdata_map.
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cime https://github.com/CESM-Development/cime/tags/cime5.2.0-alpha.9 | ||
components/clm/tools/shared/gen_domain https://github.com/CESM-Development/cime/tags/cime5.2.0-alpha.9/tools/mapping/gen_domain_files | ||
components/clm/tools/gen_domain https://github.com/CESM-Development/cime/tags/cime5.2.0-alpha.9/tools/mapping/gen_domain_files | ||
components/cism https://svn-ccsm-models.cgd.ucar.edu/glc/trunk_tags/cism2_1_24 | ||
components/rtm https://svn-ccsm-models.cgd.ucar.edu/rivrtm/trunk_tags/rtm1_0_59 | ||
components/mosart https://svn-ccsm-models.cgd.ucar.edu/mosart/trunk_tags/mosart1_0_19 |
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3,753 changes: 1 addition & 3,752 deletions
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bld/namelist_files/namelist_defaults_clm4_0_tools.xml
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3,434 changes: 505 additions & 2,929 deletions
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bld/namelist_files/namelist_defaults_clm4_5_tools.xml
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