Use this skill when you need to derive a Koppen-Geiger climate label from input latitude and longitude, then convert between the letter code such as `Csa` and the EcoSIM-style numeric code such as `34`.
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Use this skill when:
Csa or Dfbkoppen_letter_codekoppen_numeric_codeThere is no local Koppen raster bundled in this project, so derive the climate label in this order:
climate_code, use that value and encode it.For web lookup:
Use the bundled script for code conversion:
python3 scripts/koppen_codec.py --letter Csa
python3 scripts/koppen_codec.py --numeric 34
python3 scripts/koppen_codec.py --latitude 38.8951 --longitude -120.6328 --letter Csb
The script does not derive the climate label from coordinates by itself. It validates coordinates and converts codes using the project mapping. The latitude and longitude are included in the output payload when provided.
Csa34Return a JSON object with:
latitudelongitudekoppen_letter_codekoppen_numeric_codelookup_sourceconfidence_noteRead references/koppen_mapping.md when you need the canonical mapping table.
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Extract EPA/NADP tDEP atmospheric deposition and NADP precipitation chemistry rasters for an AmeriFlux or EcoSIM site. Use when deriving atmospheric chemistry inputs such as NH4, NO3, SO4, Ca, or precipitation pH for EcoSIM forcing workflows.
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Extract AmeriFlux BASE-BADM/BIF crop management records into EcoSIM-editable plant-management and soil-management Excel workbooks that can be converted to EcoSIM NetCDF files. Use when asked to derive EcoSIM planting, harvest, fertilizer, or tillage management inputs from AMF *_BIF_*.xlsx or BIF CSV files, especially for crop sites where management details live in GRP_DM_* records and DM_COMMENT fields.
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Sort AmeriFlux BASE-BADM BIF variables from Excel or CSV files into observation, management-event, static metadata, and plotting-ready target time-series tables. Use when Codex is asked to sort AmeriFlux BIF variables into time series; organize BADM/BIF variables by date; pivot AMF *_BIF_*.xlsx files by GROUP_ID; output total LAI, leaf mass per area, above-ground biomass, canopy height, fruit yield, or total yield time series; write MATLAB readers for BIF time-series plotting; or prepare dated AmeriFlux site observations and management records for EcoSIM workflows.
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Convert AmeriFlux ERA5 half-hourly meteorological CSV files into EcoSIM hourly climate forcing NetCDF files, compare generated forcing against overlapping measured tower meteorology when a FULLSET file is available, and report large biases or errors. Use when preparing or validating EcoSIM climate inputs for AmeriFlux sites, checking ERA5 against in situ records, diagnosing forcing discrepancies, or writing climate-quality reports. For non-AmeriFlux paper sites that need a fresh Copernicus CDS ERA5 point download by longitude/latitude, use era5-cds-point-download first.
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Create EcoSIM Fortran namelist files and workable EcoSIM run folders for AmeriFlux site runs from site-specific grid, plant management, climate forcing, and greenhouse-gas inputs. Use when preparing or updating an EcoSIM `.namelist`, run folder, runfolder, run directory, or executable-ready site case for AmeriFlux or FLUXNET sites, especially after generating `*_ecosim_grid.nc`, `*_ecosim_climate_<first>-<last>.nc`, and `*_pft_mgmt.nc` inputs.
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Extract AmeriFlux site metadata and map it to EcoSIM JSON variables. Use when a task needs site latitude, longitude, elevation, mean annual temperature, Koppen climate code, or vegetation type for an AmeriFlux site ID or flux-site name.
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