calc_grid_wind: Calculate wind speed at grid points

View source: R/my_wind_code.R

calc_grid_windR Documentation

Calculate wind speed at grid points

Description

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.

Usage

calc_grid_wind(
  grid_point = stormwindmodel::county_points[1, ],
  with_wind_radii = add_wind_radii(),
  max_dist = 2222.4
)

Arguments

grid_point

A one-row dataframe with the grid id, latitude, longitude, and a logical value for whether the point is over land (TRUE) or water (FALSE) 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 add_wind_radii.

max_dist

A numeric value giving (in kilometers) the maximum distance from the storm's center to model storm-associated winds. Any value beyond this distance will be automatically set to 0 m / s for storm-associated winds. The default value is 2222.4 km (1200 nautical miles).

Value

A dataframe with date (date) and modeled wind speed (windspeed, in m / s) at the grid point location for all storm observations. There are also columns for the distance (how far the stomr was from the location at that timepoint) and surface wind direction (in polar conventions, so 0 degrees is due East, 90 is due North, etc.). If the storm was further than the specified max_dist from the location, then surface wind direction will not be calculated and instead will have a missing (NA) value.

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[county_points$gridid == "37055", ], with_wind_radii = with_wind_radii) head(wind_grid)

References

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.


geanders/stormwindmodel documentation built on Sept. 27, 2022, 6:47 a.m.