Description Usage Arguments Value References Examples
Uses the Willoughby wind model (Willoughby et al. 2006) to calculate wind speed at a grid point location. This function calculates a wind time series at just one location.
1 2 3 4 | calc_grid_wind(
grid_point = stormwindmodel::county_points[1, ],
with_wind_radii = add_wind_radii()
)
|
grid_point |
A one-row dataframe with the grid id, latitude, and longitude for a single location for which you want to model winds. |
with_wind_radii |
A dataframe of storm tracks, including inputs and
parameters for the Willoughby wind model, as created by
|
A dataframe with date (date
) and modeled wind speed
(windspeed
, in m / s) at the grid point location for all storm
observations.
Knaff JA, DeMaria M, Molenar DA, Sampson CR, and Seybold MG. 2011. An automated, objective, multiple-satellite-platform tropical cyclone surface wind speed analysis. Journal of Applied Meteorology and Climatology 50(10):2149-2166
Phadke AC, Martino CD, Cheung KF, and Houston SH. 2003. Modeling of tropical cyclone winds and waves for emergency management. Ocean Engineering 30(4):553-578.
Willoughby HE, Darling RWR, and Rahn ME. 2006. Parametric representation of the primary hurricane vortex. Part II: A new family of sectionally continuous profiles. Monthly Weather Review 134(4):1102-1120.
1 2 3 4 5 6 7 8 9 10 | ## Not run:
data("floyd_tracks")
data("county_points")
full_track <- create_full_track(hurr_track = floyd_tracks)
with_wind_radii <- add_wind_radii(full_track = full_track)
wind_grid <- calc_grid_wind(grid_point = county_points[1, ],
with_wind_radii = with_wind_radii)
head(wind_grid)
## End(Not run)
|
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