Weather API

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Weather API

Delivering you weather data to enable smarter business.

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What do we provide?

Access to the premier weather data sets, including:

  • Worldwide historical model data from 1979 onwards
  • Radar and satellite data
  • Latest available forecasts, calculated on demand 
  • Weather for data for any point on the planet

Easy to work with!

Delivered as a "Platform as a Service" all the data are easily accessible thanks to the wide variety of connectors we provide for automated data, such as:

  • C++, Matlab, Python
  • ArcGIS, QGIS
  • Google Spreadsheet, Power BI

 

What does the weather API offer?

The Weather API offers you fast and direct access to hyperlocal global weather data. You get easy-to-use weather data relevant to your task.

  • Response times within miliseconds
  • Well known data formats, such as csv, xml, json
  • Interactive visualisations accessible from any browser
Technical Documentation
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What data can we provide

Easily select from our wide range of weather models including:

  • Worldwide historical model data from 1979 onwards
  • Radar and satellite data, including forecasts with over 280 updates daily
  • Temporal and spatial interpolation for each coordinate

How easy is it to work with?

Delivered as a Platform as a Service all the data are easily accessible thanks to the wide variety of connectors we provide for automated data, such as:

  • C++, Matlab, Python
  • ArcGis, QGIS
  • Google Spreadsheet, Google Maps

Why use the weather API?

The Weather API is our own platform that allows us to provide worldwide weather data - for any application, for any industry, for any institution and for any national weather service, faster than conventional weather database systems.

Technical Documentation
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Historical, Current & Forecast Data

Basic Weather Parameters

Sun

Topography & Land Usage

Power & Energy

Yearly Accumulated Day Counts

Tropical Cyclones

Agriculture

Climate Trends

Atmospheric Pollution

Moon

Lightning Forecast

Oceanic Tides

Marine Parameters

Satellite Imagery

Space Weather Forecast

Derived Weather Parameters

MOS Parameters

Cluster Parameters

View all parameters

What is modelling on the fly?

Whilst observational data on its own tells you what happened at a specific location in the past, weather model data can be interpolated to give you a forecast for any location. These forecast data can significantly deviate from the truth on the ground.
Weather models on their own typically struggle in topographically challenging environments, for example in alpine regions, where the difference between actual elevation and the modelled elevation can be significant, which impacts the quality of the forecasted parameters.
To overcome these challenges Meteomatics brings together a proven interpolation technique, the most recent observational data taken from weather stations, satellite images, and radar and combines these with model data that has already been snapped to NASA’s 90m digital terrain model. In this way we can deliver a highly accurate forecast for any location.

As Meteomatics API requests are not precomputed when you query for weather data, you always receive the most recently updated forecast data - on the fly!

Historical, Current & Forecast Data

Basic Weather Parameters

Sun

Topography & Land Usage

Power & Energy

Yearly Accumulated Day Counts

Tropical Cyclones

Agriculture

Climate Trends

Atmospheric Pollution

Moon

Lightning Forecast

Marine Parameters

Oceanic Tides

Satelitte Imagery

Space Weather Forecast

Derived Weather Parameters & Convenience Parameters

MOS Parameters

Cluster Parameters

View all parameters

What is modeling on the fly?

Whilst observational data on its own tells you what happened  at a specific location in the past, and weather model data can be interpolated to give you a forecast for any location. These forecast data can significantly deviate from the truth on the ground.
Weather models on their own typically struggle in topographically challenging environments, for example in alpine regions, where the difference between actual elevation and the modelled elevation can be significant, which impacts the quality of the forecasted parameters.
To overcome these challenges Meteomatics brings together a proven interpolation techniques, the most recent observational data taken from weather stations, satellite images, and radar and combines these with model data that has already been snapped to NASA’s 90m digital terrain model. In this way we can deliver a calibrated, highly accurate forecast for any location.

As Meteomatics API requests are not precomputed when you query for weather data, you always receive the most recently updated forecast data - on the fly!

Metigate about Meteomatics:

"We use the Meteomatics API to enrich weather models with our machine learning algorithms and to create predictive models of consumer behavior according to the weather. We particularly appreciate that Meteomatics manages all the data provision and handling which allows us to focus on our weather data transformation layer into business indicators.”

Deutscher Landwirtschaftsverlag about Meteomatics:

"Meteomatics‘ Weather API enables us to use a huge variety of agricultural weather data in order to support our agricultural target groups in field work and resource planning. Our customers in the hunting sector benefit from the moonlight and cloud cover data in such way to forecast the best hunting season. ”

Agricircle about Meteomatics

"We value the high degree of flexibility of Meteomatics’ API what delivers forecasts and historical data to us. Moreover, the naturalness of Meteomatics optimizing the API to our needs.”

ifesca about Meteomatics

"With the Energy Industry now embracing cloud-based forecasting and optimization procedures, Ifesca is able to provide high quality automated products for energy traders and suppliers as well as network operators. In addition to historical load profiles and production data, ifesca’s Artificial Intelligence products integrate weather data such as wind, solar radiation and temperature for automated energy forecasting so having easy and flexible access to high quality historical, real-time and forecast data weather data for any location, worldwide, is absolutely essential. The Meteomatics Weather API is, without doubt, the best solution out there to meet our requirements from both a technical and quality standpoint.”

BucherMunicipal about Meteomatics

"The teams tackling our challenge posed at the HackZurich 2019 used Meteomatics’ Weather API in order to gain an improved understanding of street litter and to predict future litter due to street events based on weather data. The Meteomatics’ API is an easy and flexible tool to work with. In addition to the high-quality technology, we greatly appreciate the good collaboration with Meteomatics."

Metigate about Meteomatics:

"We use the Meteomatics API to enrich weather models with our machine learning algorithms and to create predictive models of consumer behavior according to the weather. We particularly appreciate that Meteomatics manages all the data provision and handling which allows us to focus on our weather data transformation layer into business indicators.”

Success Stories

HäschCash - Weather API helps you save money

HäschCash - Weather API helps you save money

Daimler - Improved forecast quality due to vehicle data

Daimler - Improved forecast quality due to vehicle data

Windward - Combat marine insurance fraud

Windward - Combat marine insurance fraud

SBB - Enhanced their railway operations

SBB - Enhanced their railway operations

We’d love to hear from you. 

Try for free and get access to worldwide weather data.

Free Trial Account

We’d love to hear from you

Try for free and get access to worldwide weather data.

Free Trial Account

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