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Group EDMF vars before slicing, other fixes
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nefrathenrici committed Feb 2, 2024
1 parent 153a7da commit 8699e01
Showing 1 changed file with 108 additions and 49 deletions.
157 changes: 108 additions & 49 deletions post_processing/ci_plots.jl
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@ import ClimaAnalysis
import ClimaAnalysis: Visualize as viz
import ClimaAnalysis: SimDir, slice_time, slice
import ClimaAnalysis.Utils: kwargs as ca_kwargs
import OrderedCollections: OrderedDict

import ClimaCoreSpectra: power_spectrum_2d

Expand Down Expand Up @@ -63,6 +62,42 @@ YLOGSCALE = Dict(
long_name(var) = var.attributes["long_name"]
short_name(var) = var.attributes["short_name"]

"""
parse_var_attributes(var)
Takes in an OutputVar and parses some of its attributes into a short, informative string.
Used to generate unique titles when the same var is being plotted for several times/locations.
This could be extended to parse more attributes.
For example, the sample attributes:
attributes = Dict(
"units" => "%",
"short_name" => "cl",
"slice_y" => "0.0",
"long_name" => "Cloud fraction, Instantaneous x = 0.0 m y = 0.0 m",
"slice_y_units" => "m",
"slice_x_units" => "m",
"comments" => "",
"slice_x" => "0.0",
)
will be parsed into "cl, x = 0.0, y = 0.0"
"""
function parse_var_attributes(var)
MISSING_STR = "MISSING_ATTRIBUTE"
attr = var.attributes
name = replace(short_name(var), "up" => "")

attributes = ["slice_lat", "slice_lon", "slice_x", "slice_y", "slice_time"]
info = [
replace(key, "slice_" => "") * " = " * get(attr, key, MISSING_STR)
for key in attributes
]
# Filter out missing entries
info = filter(x -> !occursin(MISSING_STR, x), [name, info...])

return join(info, ", ")
end

function make_plots_generic(
output_path,
vars,
Expand Down Expand Up @@ -623,7 +658,7 @@ EDMFBoxPlots = Union{
}

"""
plot_edmf_vert_profile!(fig, p_loc, var_group)
plot_edmf_vert_profile!(grid_loc, var_group)
Helper function for `make_plots_generic`. Takes a list of variables and plots
them on the same axis.
Expand All @@ -632,48 +667,59 @@ function plot_edmf_vert_profile!(grid_loc, var_group)
z = var_group[1].dims["z"]
units = var_group[1].attributes["units"]
ax = CairoMakie.Axis(
grid_loc[1,1],
grid_loc[1, 1],
ylabel = "z [$(var_group[1].dim_attributes["z"]["units"])]",
xlabel = "$(short_name(var_group[1])) [$units]",
title = short_var_info(var_group[1])
title = parse_var_attributes(var_group[1]),
)

for var in var_group
CairoMakie.lines!(ax, var.data, z, label = short_name(var))
end
length(var_group) > 1 && Makie.axislegend(ax)
end


"""
plot_parsed_attribute_title!(grid_loc, var)
Helper function for `make_plots_generic`. Plots an OutputVar `var`,
setting the axis title to `parse_var_attributes(var)`
"""
plot_parsed_attribute_title!(grid_loc, var) = viz.plot!(
grid_loc,
var;
more_kwargs = Dict(:axis => ca_kwargs(title = parse_var_attributes(var))),
)

"""
group_edmf_vars(vars)
pair_edmf_names(vars)
Groups pairs of updraft and gridmean EDMF OutputVars into a Dict.
This is fairly brittle - it just checks that the long name starts with "Updraft"
and matches on the rest of the long name.
Groups updraft and gridmean EDMF short names into tuples.
Matches on the same variable short name with the suffix "up".
This assumes that the updraft variable name is the same as the corresponding
gridmean variable with the suffix "up".
"""
function group_edmf_vars(vars)
grouped_vars = OrderedDict{String, Vector{ClimaAnalysis.OutputVar}}()
for var in sort(vars, by = short_var_info)
suffix = short_var_info(var)
if haskey(grouped_vars, suffix)
push!(grouped_vars[suffix], var)
function pair_edmf_names(short_names)
grouped_vars = Any[]
short_names_to_be_processed = Set(short_names)

for name in short_names
name in short_names_to_be_processed || continue

base_name = replace(name, "up" => "")
up_name = base_name * "up"

if base_name in short_names_to_be_processed &&
up_name in short_names_to_be_processed
tuple_to_be_added = (base_name, up_name)
else
grouped_vars[suffix] = [var]
tuple_to_be_added = (name,)
end
end
return grouped_vars
end

function short_var_info(var)
attr = var.attributes
coords = if haskey(attr, "slice_lat")
"lat = $(attr["slice_lat"]), lon = $(attr["slice_lon"])"
else
"x = $(attr["slice_x"]), y = $(attr["slice_y"])"
[pop!(short_names_to_be_processed, n) for n in tuple_to_be_added]
push!(grouped_vars, tuple_to_be_added)
end
name = replace(short_name(var), "up" => "")
time = "t = " * attr["slice_time"]
return join([name, coords, time], ", ")
return grouped_vars
end

function make_plots(::EDMFBoxPlots, simulation_path)
Expand Down Expand Up @@ -704,30 +750,34 @@ function make_plots(::EDMFBoxPlots, simulation_path)
reduction = "inst"
period = "30m"

vars = [
get(simdir; short_name, reduction, period) for short_name in short_names
short_name_tuples = pair_edmf_names(short_names)
var_groups_zt = [
(
slice(get(simdir; short_name, reduction, period), x = 0.0, y = 0.0) for short_name in var_names
) for var_names in short_name_tuples
]
var_groups_z = [
(collect(slice(v, time = LAST_SNAP) for v in group)...,) for
group in var_groups_zt
]
vars_zt = [slice(var, x = 0.0, y = 0.0) for var in vars]
vars_z = [slice(var, x = 0.0, y = 0.0, time = LAST_SNAP) for var in vars]
grouped_vars = group_edmf_vars(vars_z)

tmp_file = make_plots_generic(
simulation_path,
output_name = "tmp",
values(grouped_vars);
var_groups_z;
plot_fn = plot_edmf_vert_profile!,
MAX_NUM_COLS = 2,
MAX_NUM_ROWS = 4,
)

make_plots_generic(
simulation_path,
vars_zt,
vcat((var_groups_zt...)...),
plot_fn = plot_parsed_attribute_title!,
summary_files = [tmp_file],
MAX_NUM_COLS = 2,
MAX_NUM_ROWS = 4,
)

end

EDMFSpherePlots =
Expand All @@ -736,32 +786,41 @@ EDMFSpherePlots =
function make_plots(::EDMFSpherePlots, simulation_path)
simdir = SimDir(simulation_path)

short_names = ["ua", "wa", "thetaa", "taup", "haup", "waup", "tke", "arup"]
short_names =
["ua", "wa", "waup", "thetaa", "ta", "taup", "haup", "tke", "arup"]
reduction = "average"
vars = [get(simdir; short_name, reduction) for short_name in short_names]
vars_zt0_0 = [slice(var, lon = 0.0, lat = 0.0) for var in vars]
vars_zt30_0 = [slice(var, lon = 0.0, lat = 30.0) for var in vars]
vars_zt60_0 = [slice(var, lon = 0.0, lat = 60.0) for var in vars]
vars_zt90_0 = [slice(var, lon = 0.0, lat = 90.0) for var in vars]
vars_zt = [vars_zt0_0..., vars_zt30_0..., vars_zt60_0..., vars_zt90_0...]
vars_z = [slice(var, time = LAST_SNAP) for var in vars_zt]
grouped_vars = group_edmf_vars(vars_z)
period = "1h"
latitudes = [0.0, 30.0, 60.0, 90.0]

short_name_tuples = pair_edmf_names(short_names)
var_groups_zt = [
(
slice(
get(simdir; short_name, reduction, period),
lon = 0.0,
lat = lat,
) for short_name in var_names
) for lat in latitudes, var_names in short_name_tuples
]
var_groups_z = [
(collect(slice(v, time = LAST_SNAP) for v in group)...,) for
group in var_groups_zt
]

tmp_file = make_plots_generic(
simulation_path,
output_name = "tmp",
values(grouped_vars);
var_groups_z;
plot_fn = plot_edmf_vert_profile!,
MAX_NUM_COLS = 2,
MAX_NUM_ROWS = 4,
)

make_plots_generic(
simulation_path,
vars_zt,
vcat((var_groups_zt...)...),
plot_fn = plot_parsed_attribute_title!,
summary_files = [tmp_file],
MAX_NUM_COLS = 2,
MAX_NUM_ROWS = 4,
more_kwargs = Dict(:axis => ca_kwargs(title = var -> var.attributes["short_name"]))
)
end

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