Description Usage Arguments Value See Also Examples
Calculates catastrophic variability for low flow events. Negative residuals from the seasonal signal are used to calculate σ.lf , the standard deviation of low-flow events.
1 | sigmaLowFlows(x, resid.column)
|
x |
An object of class |
resid.column |
Optional numeric specifiying which column contains residuals. Required if |
An object of class list
with items
n.droughts |
Number of independent events with negative residuals. |
sigma.lfa |
Estimated sigma using the y-intercept. |
sigma.lfb |
Estimated sigma using the slope (σ.lf). |
drought.line |
Matrix containing fitted, observed, and residual values from regression of log counts on bin midpoints. |
onesigma.events |
matrix containing information for all events below σ.lf (as calculated using the slope). Columns will contain the same data as the output from the |
twosigma.events |
matrix containing information for all events below 2σ.lf. Columns will contain the same data as the output from the |
independentEvents
sigmaHighFlows
1 2 3 4 5 6 7 8 | # load data
data(sycamore)
# get streamflow object
sf = asStreamflow(sycamore)
# estimate catastrophic low flow variability
sigmaLowFlows(sf)
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