Storm.get_nhc_forecast_dict¶

Storm.get_nhc_forecast_dict(time)[source]¶

Retreive a dictionary of official NHC forecasts for a valid time.

Parameters: time (datetime.datetime) – Time of requested forecast.
Returns: dict – Dictionary containing forecast data.

Notes

This dict can be provided to utils.generate_nhc_cone() to generate the cone of uncertainty. Below is an example forecast dict for Hurricane Michael (2018):

>>> storm.get_nhc_forecast_dict(dt.datetime(2018,10,8,0))
{'fhr': [0, 3, 12, 24, 36, 48, 72, 96, 120],
 'lat': [19.8, 20.0, 21.1, 22.7, 24.4, 26.3, 30.4, 34.9, 40.7],
 'lon': [-85.4, -85.4, -85.3, -85.6, -86.0, -86.1, -84.5, -78.4, -64.4],
 'vmax': [50, 50, 60, 65, 75, 85, 75, 55, 55],
 'mslp': [nan, 997, nan, nan, nan, nan, nan, nan, nan],
 'type': ['TS', 'TS', 'TS', 'HU', 'HU', 'HU', 'HU', 'TS', 'TS'],
 'windrad': [{34: [120, 150, 90, 90], 50: [40, 0, 0, 0]},
  {34: [120, 150, 90, 90], 50: [40, 0, 0, 0]},
  {34: [120, 150, 90, 90], 50: [40, 40, 0, 0]},
  {34: [130, 140, 90, 90], 50: [50, 50, 0, 0], 64: [20, 20, 0, 0]},
  {34: [130, 130, 80, 90], 50: [50, 50, 0, 0], 64: [20, 20, 0, 0]},
  {34: [130, 130, 70, 90], 50: [60, 60, 30, 40], 64: [25, 25, 15, 25]},
  {34: [130, 130, 70, 80], 50: [60, 60, 30, 40]},
  {34: [0, 0, 0, 0]},
  {34: [0, 0, 0, 0]}],
 'init': datetime.datetime(2018, 10, 8, 0, 0)}

As of Tropycal v0.5, windrad represents the forecast sustained wind radii (34, 50 and 64 knots) organized by [NE quadrant,SE quadrant,SW quadrant,NW quadrant] in nautical miles.