Published June 26, 2025 | Version 1.0

All code, data subsets, and environment specifications required to reproduce the ILS-MdPL experiments and figures

  • 1. ROR icon The University of Tokyo

Description

 ILS-MdPL Project: Code, Processed Data, and Environment Specifications

Wenpeng Xie (Institute of Industrial Science, The University of Tokyo)

Included Files

  1. model/

    • src/ — MdPL source code

    • 000check-results.ipynb — Measurement calculation tools

    • 000gswp2.ipynb — Perturbed GSWP2 parameter generation for ILS

    • 000process_dataset.ipynb — NetCDF → MdPL input data pipeline

  2. script_figure/

    • Figure*.py — Figure generation scripts

    • results/ — Essential statistical data (CSV/NetCDF subsets) for each figure

  3. script_ILS/

    • calibrated_parameter_for_ILS/ — Default & perturbed ILS parameters

    • Figure*_ILS/ — ILS execution scripts per figure

  4. script_MdPL/

    • Figure*_MdPL/ — MdPL training/inference scripts and log files per figure

  5. Environment

    • environment.yml — Conda environment (Python, PyTorch, xarray, etc.)

    • ILS_env.txt — ILS runtime environment details (PATH, LD_LIBRARY_PATH)

Files

ILS_env.txt

Files (2.8 MB)

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md5:0934ee5e92d31d59b4d33b364853878d
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Additional details

Software

Programming language
Python , Fortran