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Jupyter notebooks for evaluation of HYSPLIT ash forecasts.

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DOI

Supplementary Material for

Evaluation and Bias Correction of Probabilistic Volcanic Ash Forecasts by Alice Crawford, Tianfeng Chai, Binyu Wang, Allison Ring1, Barbara Stunder, Christopher Loughner, Michael Pavolonis, and Justin Sieglaff

https://acp.copernicus.org/articles/22/13967/2022/

Dependencies

  • python modules

    • jupyter, datetime, matplotlib, seaborn
    • utilhysplit
    • monetio
  • data files with meteorology, satellite retrievals and HYSPLIT output can be obtained by contacting Alice Crawford.

  • Imagemagick was used for creating many of the multi-panel plots

Contents

notebooks directory

  • jupyter notebooks
    • notebooks for inversion algorithm

      • BezyInverseRunB
      • BezyInverseRunC
      • BezyInverseRunD
      • BezyInverseRunE
      • BezyInverseRunPartSize
      • BezyInverseRunM
    • notebook for plotting meteorological data (Appendix A)

      • GEFS_bezy_comparison.ipynb
    • notebooks for particle separation (Appendix B)

      • particle_spearation.ipynb (Figure B1 and B2)
    • notebooks for VOLCAT data

      • Bezy.ipynb
        • Figure 1
        • Figure 2
    • notebooks for evaluation

      • BezyEvalRunMfinal.ipynb
        • Figure 11
      • BezyEvalRunAfina.ipynb
        • Figure 6
        • Figure 12
    • graphics/FigureScripts directory

      • bash scripts for creating multi-panel plots with ImageMagick.

Directories with files for running HYSPLIT

  • RunA
  • RunM

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