Configuration File

The config file drives the evaluation workflow. There is a default version provided inisde the main WeatherGenerator repository here.

The following is not an exhaustive list (there are more features being added, for a preview check out the develop branch).

#optional: if commented out all is taken care of by the default settings
# NB. global options apply to all run_ids
#global_plotting_options:
#  image_format : "png" #options: "png", "pdf", "svg", "eps", "jpg" ..
#  dpi_val : 300
#  fps: 2
#  ERA5:
#    marker_size: 2
#    scale_marker_size: 1
#    marker: "o"
#    # alpha: 0.5
#    2t:
#      vmin: 250
#      vmax: 300
#    10u:
#      vmin: -40
#      vmax: 40

evaluation:
    metrics  : ["rmse", "mae"]
    regions: ["global", "nhem"]
    summary_plots : true
    summary_dir: "./plots/"
    plot_ensemble: "members" #supported: false, "std", "minmax", "members"
    plot_score_maps: false #plot scores on a 2D maps. it slows down score computation
    print_summary: false #print out score values on screen. it can be verbose
    log_scale: false
    add_grid: false
    score_cards: false
    bar_plots: false
    num_processes: 0  #options: int, "auto", 0 means no parallelism (default)
    # baseline: "ar40mckx"

run_ids :
    ar40mckx:
        label: "pretrained model ar40mckx"
        results_base_dir : "./results/"
        mini_epoch: 0
        rank: 0
        streams:
            ERA5:
                channels: ["2t", "10u"] #, "10v", "z_500", "t_850", "u_850", "v_850", "q_850", ]
                evaluation:
                    forecast_step: "all"
                    sample: "all"
                    ensemble: "all" #supported: "all", "mean", [0,1,2]
                plotting:
                    sample: [1, 3]
                    forecast_step: [1,3, 2]
                    ensemble: [0,2,5] #supported: "all", "mean", [0,1,2]
                    plot_maps: true
                    plot_target: false
                    plot_histograms: true
                    plot_animations: true
            CERRA:
                channels: ["z_500", "t_850", "u_850"] #, "blah"]
                evaluation:
                    forecast_step: "all"
                    sample: "all"
                plotting:
                    sample: [2, 3, 0]
                    forecast_step: [1,3, 4, 5]
                    plot_maps: true
                    plot_target: false
                    plot_histograms: true
                    plot_`animations: true

    c8g5katp:
        label: "2 steps window"
        results_base_dir : "./results/"
        mini_epoch: 0
        rank: 0
        streams:
            ERA5:
                channels: ["2t", "10u", "10v"] #, "10v", "z_500", "t_850", "u_850", "v_850", "q_850", ]
                evaluation:
                    forecast_step: "all"
                    sample: "all"
                    ensemble: "mean"
                plotting:
                    sample: [1, 3]
                    forecast_step: [1,3, 2]
                    ensemble: "mean"
                    plot_maps: true
                    plot_target: false
                    plot_histograms: true
                    plot_animations: true

Further details on config options can be found: