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Weather Analytics API

The Weather Analytics API is a robust tool for accessing global historical, current, and forecast weather data.

The appetite for precision data for decision and operations support is growing exponentially and affecting industries ranging from insurance to agriculture to risk management. However, the availability of weather and climate data has not significantly changed for decades. Weather Analytics helps to solve this challenge as the leading precise and reliable source for a comprehensive global database of weather, climate, geography and ecosystem information that can be easily fused with other datasets. Read the API Docs to get started.

Manage The Weather, Better.

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CIOs

Gwen uses real-time weather data to develop an app that allows people to look not only at the best times to plant crops based on historical data, but also based on forecasted weather conditions.

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Analysts

An analyst at an air conditioner manufacturer, Orly uses histortical weather data of target markets, combined with historical unit sales and forecast data to make educated production decisions.

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Managers

In order to ensure her ski resort is adequately staffed, Mishka uses historical weather conditions, combined with last season's guest counts and forecast data to make informed hiring decisions.

Data You'll Love

  • 7-Day Forecast Data
  • 36 Years of Historical Data
  • Global Coverage
  • Individual or Bulk Calls

Variables

The available variables have applications across a wide range of business sectors to provide all of the weather data needed for your business or project. For more information on the individual variables, view our API Docs to read their descriptions.

Choose between the Historic Core, Historic Premium or Forecast variable sets, along with a variable type to view a corresponding list of variables.

Variable Type

Category for Freezing Rain
Category for Ice Pellets
Category for Rain
Category for Snow
Precipitation
Diffuse Horizontal Radiation
Direct Normal Radiation
Downward Solar Radiation
Net Radiation
Surface Pressure
Surface Relative Humidity
Surface Water Runoff
Apparent Temperature
Surface Dew Point Temperature
Surface Temperature
Surface Wet-bulb Temperature
Wind Chill Temperature
Potential Evapotranspiration
Surface Wind Direction
Surface Wind Speed
Precipitation Rate
Albedo
Downward Terrestrial Radiation
Ground Heat Flux
Ice Cover
Ice Thickness
Maximum Specific Humidity
Mean Sea Level Pressure
Minimum Specific Humidity
Sea Surface Temperature
Snow Cover
Snow Depth
Specific Humidity
Surface Geopotential Height
Surface Latent Heat Flux
Surface Roughness
Surface Sensible Heat Flux
Maximum Temperature
Minimum Temperature
Convective Available Potential Energy
Planetary Boundary Layer Height
Total High Cloud Cover
Total Low Cloud Cover
Total Middle Cloud Cover
Total Ozone
Vertical Speed Shear
Evaporation from Bare Soil
Liquid Soil Moisture (0-10 cm)
Liquid Soil Moisture (0-200 cm)
Liquid Soil Moisture (10-40 cm)
Liquid Soil Moisture (40-100 cm)
Soil Temperature (0-10 cm)
Soil Temperature (10-40 cm)
Soil Temperature (40-100 cm)
Soil Type
Surface Slope Type
Vegetation Coverage
Vegetation Type
100 Meter Wind Speed
Surface Wind Gust
Diffuse Horizontal Radiation
Direct Normal Radiation
Downward Solar Radiation
Net Radiation
Freezing Rainfall
Frost Index*
Rainfall
Significant Hail Index*
Snow Cover
Snowfall
Surface Pressure
Surface Relative Humidity
Surface Water Runoff
Apparent Temperature
Surface Dew Point Temperature
Surface Temperature
Surface Wet-bulb Temperature
Wind Chill Temperature
Total High Cloud Cover
Liquid Soil Moisture (0-10 cm)
Liquid Soil Moisture (0-200 cm)
Liquid Soil Moisture (10-40 cm)
Liquid Soil Moisture (40-100 cm)
Potential Evapotranspiration
Soil Temperature (0-10 cm)
Soil Temperature (10-40 cm)
Soil Temperature (40-100 cm)
Surface Wind Direction
Surface Wind Gust
Surface Wind Speed

Why Our Data?

Weather Analytics has produced a proprietary database built from multiple public and private sources containing comprehensive global historic and forecast data. We cleanse, normalize, and interpolate the most advanced datasets to provide an exceptional database with resolutions ranging from 35km to less than 1km in many locations.

The Data

Our databases are quality checked, translated, converted, and normalized to provide hourly, gap-free, statistically stable data made accessible for analytics and solutions. Our historic data is assimilated from multiple state-of-the-industry sources, including the Climate Forecast System Reanalysis and METAR and MADIS feeds. Hourly seven-day forecasts are based on the industry’s best forecast models, including the Global Forecast System (GFS), interpolated hourly. We also leverage a number of NOAA numerical model analyses and forecasts, as well as our own proprietary modeling, for both historical and forecast data. Our capability to ingest raw data in any format from any source, then prepare the data in useful formats, is what sets us apart from any other data providers.


Pricing

Select the plan that best meets your usage needs and request to sign up to have one of our representatives contact you. Please contact us directly should you require a plan in excess of one million calls per month.

  • LIGHT
  • 0 - 175,000
    Calls Per Month
  • AVERAGE
  • 175,001 - 500,000
    Calls Per Month
  • MODERATE
  • 500,001 - 1,000,000
    Calls Per Month
*One call is defined as one api request for up to 7 days of data for Core/Premium/Forecast data