A dataframe with gridded locations in the eastern United States and whether each point is land or water. This land-sea mask is used to identify whether hurricane center observations are more likely over land or water, so an appropriate conversion factor can be used to estimate gradient winds from sustained surface winds.
landmaskA dataframe with 30,351 rows and 3 variables:
A numeric vector with the longitude of the grid point
A numeric vector with the latitude of the grid point
A factor specifying whether that grid point is land or water