rahil-clm 0.1.1

Generate LHS samples and CLM crop PFT NetCDF parameter files for yield optimization.

Author: Mohammad Uzair Rahil

Michigan State University (MSU)

Date: 01/01/2026

rahil-clm

rahil-clm is a Python package to generate Latin Hypercube Sampling (LHS)–based crop parameter ensembles for CLM/CTSM crop yield optimization.

The package is designed so users do not need to provide any input file paths. Required input files (Excel parameter bounds and base CLM NetCDF parameters) are automatically downloaded from GitHub Releases and cached locally on first use.

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Installation

pip install rahil-clm



## Quick start

import rahil

out = rahil.generate_lhs(
    Ninit=150,
    seed=42,
    output_dir="outputs"
)

print(out.param_output_dir)
print(out.main_run_file)
print(out.param_list_file)
print(out.psets_df.head())



This will:

generate LHS samples for crop parameters
write per-case CLM NetCDF parameter files
create workflow text files for running CTSM/CLM ensembles