e2e_plot_edrivers {StrathE2E2} | R Documentation |
Plot climatological year of environmental driving data.
Description
Multi-panel time series plots of climatological annual cycles of driving data as provided in the input csv files.
Usage
e2e_plot_edrivers(model)
Arguments
model |
R-list object defining the model configuration compiled by the e2e_read() function. |
Details
The function plots a multi-panel page of time series plots of monthly values of the environmental driving data for the model.
Units for the plotted variables are as follows:
Sea surface irradiance: uE/m2/d
Suspended particulate matter: g/m3
Temperature: deg-C
Vertical diffusivity gradient: m/d (derived from the vertical diffusivity (m2/s) and mixing length scale (m))
External inflows: m3 per m2 sea surface of model domain (derived from proportion input per layer volume, layer thicknesses and areas)
River discharge: m3 per m2 sea surface of model domain (derived from proportion input to inshore volume, and inshore layer thickness and area)
Inshore significant wave height: m
Proportion of seabed disturbed: /d (aggregated over the three sediment classes in each zone)
External boundary nitrate concentration: mMN/m3
External boundary ammonia concentration: mMN/m3
External boundary phytoplankton concentration: mMN/m3
External boundary detritus concentration: mMN/m3
River nitrate concentration: mMN/m3
River ammonia concentration: mMN/m3
Atmospheric nitrate deposition flux: mMN/m2/d
Atmospheric ammonia deposition flux: mMN/m2/d
Value
Graphical display in a new graphics window. Does not return any data object since the data plotted are all available as input csv files.
See Also
e2e_read
, e2e_run
, e2e_plot_fdrivers
Examples
# Load the 2003-2013 version of the North Sea model supplied with the package:
model <- e2e_read("North_Sea", "2003-2013")
# Plot the annual cyles of driving data
e2e_plot_edrivers(model)
# Direct the graphics output to a pdf file ...
# or jpeg("plot.jpg"), png("plot.png")
pdf(file.path(tempdir(), "plot.pdf"),width=8,height=6)
e2e_plot_edrivers(model)
dev.off()