AmeriFlux Namelist Generator

Overview

Use this skill to create EcoSIM run namelists and executable-ready run folders for AmeriFlux sites. The namelist follows the Blodgett Blodget.ndlf.nolig.namelist pattern: one regression_test block, one ecosim block with site-specific forcing paths and output controls, an empty bbgcforc block, and one ecosim_time block.

Read references/namelist_contract.md when you need the field contract, forcing-period rules, path conventions, or validation checklist.

For any request to create a run folder, runfolder, run directory, or runnable site case, read and follow references/runfolder_workflow.md before writing files.

When asked to create a run folder for a site, build it under result/<SITE_ID>/ with two subfolders: input/ for every input file (site NetCDF, sidecars, reports, and copies of the PFT, GHG, and microbial parameter files) and run_dir/ for the namelist alone. Use scripts/create_site_run_folder.py --site-id <SITE_ID> after the site inputs exist, and track the request with the ecosim-site-run-tracker skill.

Workflow

1. Identify the AmeriFlux site_id such as US-Ha1, US-MMS, or US-Var.
2. Confirm that site artifacts exist. Prefer:
   • result/<SITE_ID>/<SITE_ID>_ecosim_grid.nc
   • result/<SITE_ID>/<SITE_ID>_ecosim_climate_<first>-<last>.nc (climate files carry their forcing years)
   • result/<SITE_ID>/<SITE_ID>_pft_mgmt.nc
   • result/<SITE_ID>/<SITE_ID>_ecosim_site.json Then search result/, inputs/, data/, and the repository root.
3. If climate, grid, soil, or plant-management files are missing, use the relevant AmeriFlux skills first: ameriflux-era5-to-ecosim, ameriflux-surgo-grid-extract, ecosim-natural-plant-mgmt, or unified-ameriflux-extractor.
4. Generate the namelist with the bundled script:

python .agents/skills/ameriflux-namelist-generator/scripts/create_ameriflux_namelist.py \
  --site-id US-Var \
  --output result/US-Var/US-Var.namelist \
  --pft-file /Users/jinyuntang/work/github/ecosim_workspace/croots/input_data/ecosim_pftpar_20260520.nc \
  --atm-ghg-file /Users/jinyuntang/work/github/ecosim_workspace/croots/input_data/fatm_hist_GHGs_1750-2023.nc

5. If writing the namelist into an EcoSIM run directory, pass --run-dir /path/to/run_dir so input paths are written relative to the run directory, matching the Blodgett example.
6. Review start_date, forc_periods, and stop_n. The script can infer forcing years from year in the climate NetCDF, but simulation chronology is a modeling decision.
7. Validate that referenced files exist from the namelist execution directory.

Common Overrides

• Use --case-name for a model case label different from the site ID.
• Use --grid-file, --pft-mgmt-file, and --climate-file when auto-discovery chooses the wrong artifact.
• Use --force-start-year, --spinup-end-year, --force-end-year, --spinup-cycles, --start-year, and --stop-n to control chronology.
• Use --lignification true for lignified root experiments; default is .false..
• Use --micpar-file to include a micpar_file_in line.

Cautions

• Do not set missing climate, grid, or plant-management files to NO; that can make EcoSIM run with physically meaningless forcing or no active plant management.
• Keep delta_time=3600. when using hourly AmeriFlux/EcoSIM climate forcing.
• Ensure the greenhouse-gas forcing spans the requested simulation period. Historical-only fatm_hist_GHGs_1750-2023.nc is not sufficient for future SSP runs.
• If forc_periods repeats a short forcing window for spinup, make that intentional and document it in the run notes.

Validation

Run:

python .agents/skills/ameriflux-namelist-generator/scripts/create_ameriflux_namelist.py --site-id US-Var --dry-run

Then inspect the output and verify:

• case_name matches the site/case.
• grid_file_in, pft_mgmt_in, and clm_hour_file_in point to the intended NetCDF files.
• forc_periods uses valid years available in the climate forcing.
• hist_fincl1, hist_mfilt, and hist_nhtfrq match the intended output diagnostics.