floodmean: Calculate Mean Days per Year with Flood Events From...
In ccb60/SLRSIM: Tools to Analyse Sea Level Rise

Description Usage Arguments Value See Also Examples

This function takes high frequency data on tidal elevations (typically hourly or more frequently) and counts the number of days each year where the water level (.wl) exceeded a specified flood elevation (.fldlvl) at least once. It calculates the mean annual number of days with observed flooding, the daily probability of flooding, and a scaled estimate of days with flooding, scaled to account for days with no water level data.

1	floodmean(.data, .dt, .wl, .fldlvl)

`.data`	A source data frame. can be NULL if .dt and .wl are defined in the enclosing environment.
`.dt`	Dates and times. A data column in .data or a data vector defined in the enclosing environment that contains date-time information. Must inherit from POSIXct.
`.wl`	Water level. A numerical data column in .data or a numerical vector defined in the enclosing environment.
`.fldlvl`	The water level that defines a flood event. Needs to be expressed in the same units and the same datum as the water level data.)

A 3 (row) x 2 (column) array containing Mean and Var for

Daily Probability of flooding,
Annual Flood Days observed, and
Annual Scaled Flood Days, which are scaled to account for days each year with no data.

Other Flood frequency analysis functions: .sim_once(), floodcast_tub(), floodfreq(), floodgraph()

old <- prov_tides[prov_tides$Year >= 1940 & prov_tides$Year < 1950,]
new <- prov_tides[prov_tides$Year >= 2010 & prov_tides$Year < 2020,]
floodmean(old, DateTime, MLLW, 1.987)
floodmean(new, DateTime, MLLW, 1.987)