as.tidem: Create tidem Object From Fitted Harmonic Data

In oce: Analysis of Oceanographic Data

Create tidem Object From Fitted Harmonic Data

Description

This function takes a set of tidal constituent amplitudes and phases, and constructs a return value of similar form to that returned by tidem(). Its purpose is to enable predictions based on published constituent amplitudes and phases. Since as.tidem() does not account for a reference height, it is the user's responsible to account for this after a prediction is made using predict.tidem().

Usage

as.tidem(
  tRef,
  latitude,
  name,
  amplitude,
  phase,
  frequency,
  speed,
  debug = getOption("oceDebug")
)

Arguments

tRef	a POSIXt value indicating the mean time of the observations used to develop the harmonic model. This is rounded to the nearest hour in as.tidem(), to match the behaviour of tidem().
latitude	numerical value indicating the latitude of the observations that were used to create the harmonic model. This is needed for nodal-correction procedures carried out by tidemVuf().
name	character vector holding names of constituents.
amplitude, phase	numeric vectors of constituent amplitudes and phases. These must be of the same length as name.
frequency, speed	optional numeric vectors giving the frequencies of the constituents (in cycles per hour) or the analogous speeds (in degrees per hour). Only one of these may be given, and a conversion is done from the latter to the former, if required. If the frequencies are thus specified, then these are used instead of the frequencies that oce normally used, as defined in data(tideconst). A warning will be issued if the absolute value of the relative frequency mismatch for any given component exceeds 1e-6, and this will occur for any NOAA tables containing the SA component, for which this relative mismatch is approximately 4e-5 (see reference 5).
debug	an integer specifying whether debugging information is to be printed during the processing. This is a general parameter that is used by many oce functions. Generally, setting debug=0 turns off the printing, while higher values suggest that more information be printed. If one function calls another, it usually reduces the value of debug first, so that a user can often obtain deeper debugging by specifying higher debug values.

Details

All the constituent names used by tidem() are permitted here, except for "Z0" (see “Description” regarding reference height). To get a list of constituent names, please consult Foreman (1978), or type the following in an R console:

data(tidedata)
data.frame(name=tidedata$const$name, freq=tidedata$const$freq)

In addition to the above, as.tidem() can handle NOAA names of constituents. For the most part, these match oce names, but there are 4 exceptions: NOAA names "LAM2", "M1", "RHO", and "2MK3" are converted to oce names "LDA2", "NO1", "RHO1", and "MO3". The name mapping was inferred by matching frequencies; for these constituents, the fractional mismatch in frequencies was under 4e-8; see Reference 5 for more details. A message is printed if these name conversions are required in the particular use of as.tidem().

Apart from the standard oce names and this set of NOAA synonyms, any other constituent name is reported in a warning message.

Value

An object of tidem, with only minimal contents.

Known issues

There are two known differences between tidem() and the Matlab T_TIDE package, as listed in references 3 and 4.

References

1. Foreman, M. G. G., 1978. Manual for Tidal Currents Analysis and Prediction. Pacific Marine Science Report. British Columbia, Canada: Institute of Ocean Sciences, Patricia Bay.

2. Wikipedia, "Theory of Tides." https://en.wikipedia.org/wiki/Theory_of_tides Downloaded Aug 17, 2019.

3. Github issue 1653 "tidem() and t_tide do not produce identical results" (https://github.com/dankelley/oce/issues/1653)

4. Github issue 1654 "predict(tidem()) uses all constituents, unlike T_TIDE" (https://github.com/dankelley/oce/issues/1654)

5. Github issue 2143 "mismatch in oce/NOAA frequency of SA tidal constituent" (https://github.com/dankelley/oce/issues/2143)

See Also

Other things related to tides: [[,tidem-method, [[<-,tidem-method, plot,tidem-method, predict.tidem(), summary,tidem-method, tidalCurrent, tidedata, tidem, tidem-class, tidemAstron(), tidemVuf(), webtide()

Examples

# Example 1: show agreement with tidem()
data(sealevelTuktoyaktuk)
# 'm0' is model fitted by tidem()
m0 <- tidem(sealevelTuktoyaktuk)
p0 <- predict(m0, sealevelTuktoyaktuk[["time"]])
m1 <- as.tidem(
    mean(sealevelTuktoyaktuk[["time"]]), sealevelTuktoyaktuk[["latitude"]],
    m0[["name"]], m0[["amplitude"]], m0[["phase"]]
)
# Test agreement with tidem() result, by comparing predicted sealevels.
p1 <- predict(m1, sealevelTuktoyaktuk[["time"]])
stopifnot(max(abs(p1 - p0), na.rm = TRUE) < 1e-10)

# Example 2: See the effect of dropping weak constituents
m0[["name"]][which(m0[["amplitude"]] > 0.05)]
h <- "
name  amplitude      phase
  Z0 1.98061875   0.000000
  MM 0.21213065 263.344739
 MSF 0.15605629 133.795004
  O1 0.07641438  74.233130
  K1 0.13473817  81.093134
 OO1 0.05309911 235.749693
  N2 0.08377108  44.521462
  M2 0.49041340  77.703594
  S2 0.22023705 137.475767"
coef <- read.table(text = h, header = TRUE)
m2 <- as.tidem(
    mean(sealevelTuktoyaktuk[["time"]]),
    sealevelTuktoyaktuk[["latitude"]],
    coef$name, coef$amplitude, coef$phase
)
p2 <- predict(m2, sealevelTuktoyaktuk[["time"]])
par(mfrow = c(3, 1))
oce.plot.ts(sealevelTuktoyaktuk[["time"]], p0)
ylim <- par("usr")[3:4] # to match scales in other panels
oce.plot.ts(sealevelTuktoyaktuk[["time"]], p1, ylim = ylim)
oce.plot.ts(sealevelTuktoyaktuk[["time"]], p2, ylim = ylim)

oce documentation built on Sept. 11, 2024, 7:09 p.m.