Gallery
Required data
Download the SIM2 and EXPLORE2 datasets
Note
more details to come
Figures
Maps based on historic reanalysis data (SIM2)
in progress…
Visualize future projections data
Plot a saisonality figure
In your IDE, enter:
from pywtraj import trajplot as tjp
F = tjp.Figure(
var = 'T', # temperature
root_folder = "myDataPath",
scenario = 'rcp8.5',
coords = r"myMasks/myStudyArea.shp",
)
F.plot(
plot_type = 'temporality', # 365-day curves
period_years = 15, # plot 15-year averages
rolling_days = 60, # additional smoothing step
annuality = 10, # x-axis starts from October
)
F.export(
name = 'myAreaName',
language = 'en',
plotsize = 'wide',
)
Plot a focus on a specific metric
From the data loading of the previous figure, it is possible to derive other types of figures.
F.plot(
plot_type = '>30', # number of days over 30°C
# no need to repeat the previous arguments:
# period_years = 15, # plot 15-year averages
# rolling_days = 60, # additional smoothing step
# annuality = 10, # x-axis starts from October
)
# One wide version:
F.export(
name = 'myAreaName',
language = 'en',
plotsize = 'wide',
)
# One smaller version:
F.export(
name = 'myAreaName',
language = 'en',
plotsize = 'paper',
)