Interface to All Climate Models

See the Climatemodels.jl docs for more information.

using ClimateModels, CairoMakie
CSV=ClimateModels.CSV
DataFrame=ClimateModels.DataFrames.DataFrame

DataFrames.DataFrame

fun=ClimateModels.RandomWalker
MC=ModelConfig(model=fun,inputs=Dict("NS" => 1000))
run(MC)

  ID            = 807010e1-eeb4-4557-b5c7-eb30348a4ef6
  model         = RandomWalker
  configuration = anonymous
  run folder    = /var/folders/vn/3r695jqd3177cw09wdmf3z940000gn/T/807010e1-eeb4-4557-b5c7-eb30348a4ef6
  log subfolder = /var/folders/vn/3r695jqd3177cw09wdmf3z940000gn/T/807010e1-eeb4-4557-b5c7-eb30348a4ef6/log

log(MC)

6-element Vector{String}:
 "62aa206 initial setup"
 "c426916 initial tracked_parameters.toml"
 "8b3e674 add Project.toml to log"
 "e71f7d7 add Manifest.toml to log"
 "cb59f63 task started [b846b918-9999-4aca-871c-a2cd73afe83c]"
 "e8adbcb (HEAD -> main) task ended   [b846b918-9999-4aca-871c-a2cd73afe83c]"

readdir(MC)

2-element Vector{String}:
 "RandomWalker.csv"
 "log"

df=CSV.read(joinpath(MC,"RandomWalker.csv"),DataFrame)
lines(df.x,df.y)
scatter!(df.x[1],df.y[1],color=:green,label="start")
scatter!(df.x[end],df.y[end],color=:red,label="end")
axislegend()
current_figure()