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.
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.
An analyst at an air conditioner manufacturer, Orly uses historical weather data of target markets, combined with historical unit sales and forecast data to make educated production decisions.
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.
- 7-Day Forecast Data
- 36 Years of Historical Data
- Global Coverage
- Individual or Bulk Calls
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.
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.
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.
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