Weather Forecast API

Improve your business applications with accurate forecasts derived from high resolution global and regional weather models.

API Guide

Weather Forecast API

Improve your business applications with accurate forecasts derived from high resolution global and regional weather models.

These forecasts incorporate corrections for model biases using state of the art machine learning methods. Our temperature forecasts consistently outperform those of all competitors, including the US National Weather Service! View our live forecast verification page to see how our API has performed against the competition over the past 30 days.

  • Daily, hourly, and minutely forecast products.
  • Global model sources with local refinement where available.
  • Designed for app, operations, and analytics use cases.

Frequently Asked Questions

How frequently do forecasts update?

Forecasts are refreshed once per hour in most locations, which makes them a good fit for operational dashboards, alerting, and other products that benefit from frequent forecast refreshes.

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What data sources are used for forecasts?

Forecast responses are built from a mix of short-range, regional, and longer-range global models. We dynamically select and bias-correct the best-performing model inputs for the location and time of interest.

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What spatial resolution should I expect from forecast data?

Forecast resolution generally ranges from about 1 to 13 km depending on region. Coverage is typically highest resolution in North America and Europe, with coarser but still high-resolution coverage elsewhere.

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When is data valid, and how are accumulated values computed?

Unless a field is documented otherwise, values are valid at the timestamp shown in the response. Accumulated fields such as precipitation and snowfall represent the aggregate for the interval from that timestamp, to the next timestamp. The same applies to averages, max/mins, etc.

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What does the `solar_rad` field represent?

The solar radiation field is an estimated surface solar flux value that accounts for cloud cover, surface albedo, and atmospheric effects. Alternatively, GHI/DNI/DHI values are clear-sky values which do not account for these.

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How do I get historical forecast data?

Historical forecasts are provided through a separate custom report system rather than the live forecast endpoints. It is a good option when you need archived forecast runs, larger backfills, or one-off historical forecast deliveries.

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Available Fields

Field Granularity Sources
Temperature daily, hourly, minutely Global and regional weather models
Apparent temperature daily, hourly Global and regional weather models
Dew point daily, hourly Global and regional weather models
Relative humidity daily, hourly Global and regional weather models
Sea level pressure daily, hourly Global and regional weather models
Station pressure daily, hourly Global and regional weather models
Wind speed daily, hourly Global and regional weather models
Wind direction daily, hourly Global and regional weather models
Wind gust daily, hourly Global and regional weather models
Visibility daily, hourly Global and regional weather models
Precipitation daily, hourly, minutely Global and regional weather models
Probability of precipitation daily, hourly Global and regional weather models
Snowfall daily, hourly, minutely Global and regional weather models
Snow depth daily, hourly Global and regional weather models
Cloud cover daily, hourly Global and regional weather models
Low / mid / high cloud cover daily Global and regional weather models
Sunrise / sunset daily
Moonrise / moonset / moon phase daily
Weather conditions daily, hourly Global and regional weather models
UV index daily, hourly Global and regional weather models
Solar radiation hourly Global and regional weather models
GHI / DNI / DHI hourly Global and regional weather models

Location Retrieval Methods

  • Latitude / longitude
  • City name
  • Weather station ID
  • Airport ICAO code
  • Postal (zip) code

Advantages

High Resolution: High spatial resolution forecasts derived from model data ranging from 1-13 KM globally.

High Precision and Accuracy: A combination of statistical and machine-learning methods selects best-performing models and corrects model bias.

Hourly and Daily Forecasts: Retrieve hourly forecasts out to 240 hours and daily forecasts out to 16 days.

60 Minute Minutely Forecasts: Minute-by-minute precipitation forecasts backed by radar, satellite, and deterministic nowcasting methods.

Available APIs

  • Daily Forecast API: up to 16 days with broad weather field coverage (temperature, precipitation, snowfall/snow depth, solar irradiance, UV, conditions).
  • Hourly Forecast API: up to 240 hours with high temporal detail and operational weather fields.
  • Minutely Forecast API: 1-minute interval precipitation and snowfall rate guidance for near-term nowcasting.

API References