The tidedata dataset contains Tide-constituent information that is
use by tidem() to fit tidal models. tidedata is a list
containing
consta list containing vectors
name (a string with constituent name),
freq (the frequency, in cycles per hour),
kmpr (a string naming the comparison constituent, blank if there is none),
ikmpr (index of comparison constituent, or 0 if there is none),
df (frequency difference between constituent and its
comparison, used in the Rayleigh criterion),
d1 through d6 (the first through sixth Doodson numbers),
semi,
nsat (number of satellite constituents),
ishallow,
nshallow,
doodsonamp,
and
doodsonspecies.
sata list containing vectors
deldood,
phcorr,
amprat,
ilatfac,
and
iconst.
shallowa list containing vectors
iconst,
coef,
and
iname.
Apart from the use of d1 through d6, the naming and content
follows T_TIDE (see Pawlowicz et al. 2002), which in turn builds upon
the analysis of Foreman (1978).
Dan Kelley
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.
Pawlowicz, Rich, Bob Beardsley, and Steve Lentz, 2002. Classical tidal
harmonic analysis including error estimates in MATLAB using T_TIDE.
Computers and Geosciences, 28, 929-937.
Other things related to tides:
[[,tidem-method,
[[<-,tidem-method,
as.tidem(),
plot,tidem-method,
predict.tidem(),
summary,tidem-method,
tidalCurrent,
tidem,
tidem-class,
tidemAstron(),
tidemVuf(),
webtide()