forecast module

Methods for generating and plotting a forecast.

class forecast.Forecast(forecast_dir='./forecast_maps', met_dir='./met_maps', temp_unit='F', wind_unit='mph')

Bases: object

Class for downloading data from various sources, generating a forecast for a given location, and plotting a forecast. For downloading site data, see self.get_latest_RDPS_astro, self.get_latest_RDPS_met. For generating forecast at a location, see self.forecast_location. For plotting, see self.plot_forecast.

forecast_dir

directory to store RDPS model astro outputs

Type:

str

met_dir

directory to store RDPS model meteorology outputs

Type:

str

temp_unit

‘F’ or ‘C’, indicating unit for temperature measurements

Type:

str

wind_unit

‘mph’ or ‘km/hr’, indicating unit for wind speed measurements

Type:

str

forecast_location(lat, lon, timezone, elevation=0)

Generate forecast for a given location

Parameters:

• lat (float) – latitude of forecast location

• lon (float) – longitude of forecast location

• pytz.timezone (timezone (str or) – timezone for location

• elevation (float) – elevation of location in meters (default: 0)

Returns:

Forecast data for the given location/timezone

Return type:

self.forecast (dict)

static get_closest_grid_point(ds, lat, lon)

Get data at closest point on model grid to given lat/lon (calculated in EPSG 3857 Web Mercator) for xarray ds

Parameters:

• ds (xarray.Dataset) – xarray dataset with ‘latitude’ and ‘longitude’ coordinates

• lat (float) – latitude of desired point

• lon (float) – longitude of desired point

Returns:

dataset subset to the grid cell closest to the given lat/lon point.

Return type:

xarray.Dataset

plot_forecast()

Plot forecast using matplotlib (must have already run self.forecast_location).