home-assistant.io/source/_components/sensor.forecast.markdown

layout, title, description, date, sidebar, comments, sharing, footer, logo, ha_category, featured, ha_release

layout	title	description	date	sidebar	comments	sharing	footer	logo	ha_category	featured	ha_release
page	Forecast.io	How to integrate Forecast.io within Home Assistant.	2015-04-25 9:06	true	false	true	true	forecast.png	Weather	true	pre 0.7

The forecast platform uses the Forecast.io web service as a source of meteorological data for your location. The location is based on the longitude and latitude coordinates configured in your configuration.yaml file. The coordinates are auto-detected but to take advantage of the hyper-local weather reported by forecast.io, you can refine them down to your exact home address. GPS coordinates can be found by using Google Maps and clicking on your home or Openstreetmap.

You need an API key which is free but requires registration. You can make up to 1000 calls per day for free which means that you could make one approximately every 86 seconds.

[Forecast.io](https://forecast.io/) will charge you $0.0001 per API call if you enter your credit card details and create more than 1000 calls per day.

To add Forecast.io to your installation, add the following to your configuration.yaml file:

# Example configuration.yaml entry
sensor:
  platform: forecast
  api_key: YOUR_APP_KEY
  monitored_conditions:
    - summary
    - icon
    - nearest_storm_distance
    - nearest_storm_bearing
    - precip_type
    - precip_intensity
    - precip_probability
    - temperature
    - apparent_temperature
    - dew_point
    - wind_speed
    - wind_bearing
    - cloud_cover
    - humidity
    - pressure
    - visibility
    - ozone
    - minutely_summary
    - hourly_summary
    - daily_summary
    - temperature_max
    - temperature_min
    - apparent_temperature_max
    - apparent_temperature_min
    - precip_intensity_max

Configuration variables:

• api_key (Required): Your API key for http://forecast.io/.
• monitored_conditions array (Required): Conditions to display in the frontend.
  • summary: A human-readable text summary of the current conditions.
  • precip_type: The type of precipitation occurring.
  • precip_intensity: The average expected intensity of precipitation occurring.
  • precip_probability: A value between 0 and 1 which is representing the probability of precipitation.
  • temperature: The current temperature.
  • apparent_temperature: A numerical value representing the apparent (or "feels like") temperature.
  • dew_point: The dew point.
  • wind_speed: The wind speed.
  • wind_bearing: Where the wind is coming from in degrees, with true north at 0° and progressing clockwise.
  • cloud_cover: The percentage of sky occluded by clouds.
  • humidity: The relative humidity.
  • pressure: The sea-level air pressure in millibars.
  • visibility: The average visibility.
  • ozone: The columnar density of total atmospheric ozone in Dobson.
  • minutely_summary: A human-readable text summary for the next hour.
  • hourly_summary: A human-readable text summary for the next 24 hours.
  • daily_summary: A human-readable text summary for the next 7 days.
  • temperature_max: Today's expected high temperature.
  • temperature_min: Today's expected low temperature.
  • apparent_temperature_max: Today's expected apparent high temperature.
  • apparent_temperature_min: Today's expected apparent low temperature.
  • precip_intensity_max: Today's expected maximum intensity of precipitation.
• units (Optional): Specify the unit system. Default to si or us based on the temperature preference in Home Assistant. Other options are auto, us, si, ca, and uk2. auto will let forecast.io decide the unit system based on location.

Details about the API are available in the Forecast.io documentation.