Produces summary screening plots of high flow, low flow, or baseflow metrics.
Each plot shows significant temporal trends and step changes. Intended for use as
a data quality screening tool aimed at identifying streamflow records with
anthropogenic impacts or data inhomogeneities.
Usage
screen.summary(metrics, type = "h", language = "English", StnInfo = NULL)
Character indicating the set of metrics to plot. Options
are "h" for high flow metrics, "l" for low flow metrics, or "b" for baseflow
metrics.
language
Language for plot labels. Choice of either "English" or
"French". Default is "English".
StnInfo
Optional data.frame containing user-supplied station info for plot.
data.frame must have 7 columns containing station info in the following order:
Station ID, Station Name, Prov/State, Country, Latitude, Longitude, Catchment Area
If any of the informa
Details
For the center of volume (COV) plots on the high flow and baseflow screening plots,
the correlation coefficients for COV and years and for
mean annual flow (MAF) and years are added to the plot. The ratio of the correlation coefficients
(r COV-years / r COV-MAF) is included as a rudimentary indication
of whether or not the temporal trend in COV is meaningful. See Whitfield (2013) for a
discussion of COV.
Important note: If "French" is the language wanted for the plot labels, the language
option must also be specified in metrics.all, as this plotting function
pulls the metric names from the output metrics.all output.
References
Whitfield, P.H. 2013. Is 'Center of Volume' a robust indicator of changes
in snowmelt timing? Hydrological Processes 27:2691-8.
# load results from metrics.all function for the Caniapiscau Riverdata(caniapiscau.res)
# create a summary flow screening plot of the high flow metricsscreen.summary(caniapiscau.res, type="l")