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Open a connection to a FVCOM data source. In this example the Scituate (MA) Harbor Inundation.
suppressPackageStartupMessages({ library(sf) library(fvcom) library(dplyr) }) (X = ScituatePhysics())
## Scituate_Physics class: http://www.smast.umassd.edu:8080/thredds/dodsC/models/fvcom/NECOFS/Forecasts/NECOFS_FVCOM_OCEAN_SCITUATE_FORECAST.nc ## CRS : +init=nad83:1802 ## zvar : siglay ## t0 : 1858-11-17T00:00:00 UTC ## n timesteps: 1729 ## n elements : 11153 ## n nodes : 5620 ## verbose : FALSE
Select two starting locations at random.
p <- X$random_points(n = 2, select_z = "surface") |> glimpse()
## Rows: 2 ## Columns: 3 ## $ elem <int> 184, 726 ## $ time <dttm> 2022-12-21, 2022-12-21 ## $ geometry <POINT [m]> POINT Z (856645.5 -69579.34..., POINT Z (854905.7 -68746.12..…
Now track each particle - there are a number of options, see ?particle_track for details.
?particle_track
track = particle_track(X, p, tstep = 60 * 10, tmax = 3600 * 36, fixed_z = TRUE)
A simple plot. It would be nicer if we showed the shoreline for context.
plot_track(track, X = X, title = "Scituate")