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IPCC AR6 WG1 Fig TS.12(f) #6

@rolyp

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@rolyp

See also:

To do:

  • Map aggregation over dataset first -- e.g. mean of ensembles
  • Other line plots
  • Expose ensemble as an "intermediate" (prior value)?

Done/dropped:

  • Screenshot of figure below
  • Hydrology datasets into dataset folder of literate-execution
  • Top-level structure:
    • pr: precipitation
    • tas: (empty)
    • mrro: runoff
    • prw: precipitable water
  • Within each of these:
    • ens: raw ensemble data -- retain
    • top-level std and mean -- different normalisations of the ensemble data used for variability vs. mean; retain
    • nq5, nq95, nq83, nq17: various percentiles -- drop these
    • local mean -- drop too
  • Initial precipitation plot (pr)
    • x-axis: global temp. change; y-axis: mean annual precipitation
    • Add data set as "input"
      • No DictView
        • Experiment with mapping Dict to MultiView

See also:

Fig TS.12

Image

DATA UNAVAILABLE

Fig 1.19

Image

Fig TS.2

Image

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