Metetmatics Weather Intelligence API Illustration

Unique Climate and Weather Data

With the largest weather database, we provide you with hyperlocal and unique datasets in high spatial and temporal resolution. Our weather API gives you access to the world's most accurate weather, marine, environmental and climate data for every coordinate on Earth.

  • Access to the most accurate and up-to-date weather data through "on the fly" calculation

  • Largest source of weather data accessible in real time

  • Historical, real-time, forecast and climate data

  • Hyperlocal and unique datasets

Weather Data in Use

Make Better Operational Decisions With Weather Data From Meteomatics

Certain weather conditions can significantly limit the production and day-to-day business of some companies. But not every industry is affected by the weather in the same way. Therefore, with a large selection of specific weather parameters and individual industry solutions, we offer the optimal basis for making better operational decisions. Select your industry and we will create a tailor-made strategy for your company.

Learn From Our Customer Stories

This is how we improve our clients' business with our approach.

BKW BRANDED header image v2
The weather has a considerable influence on the production of renewable energies. As a relevant influencing factor, it thus affects forecasts for electricity production and also has an impact on electricity trading and the associated sales. In this article, you will learn how the Meteomatics Weather API makes the procurement of weather data at BKW easier, faster and more flexible, thus facilitating the integration of renewable energies into the electricity market.
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Weather conditions influence energy consumption in industrial facilities, affecting companies’ operations planning. In this article, we describe how Meteomatics' Weather API helps Toyota manage energy consumption in its European assembly plants and factories, thereby contributing to the conservation of the environment and making financial savings at the same time.
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Airbus Zephyr Goes Beyond the Troposphere - Made Possible by High-Quality Weather Data from Meteomatics
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Meteomatics' solar power forecasts improve Stadtwerke München's day-to-day electricity trading business and optimize the integration of solar power into the electricity market.
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Weather is one of the strongest factors influencing the capacity of power lines. Therefore, it is of utmost relevance for grid operators to know the current and future weather factors in detail, so that bottlenecks can be prevented, and a dynamic and efficient grid operation is possible. Using senso data from power lines in combination with data from Meteomatics, Heimdall Power can deliver an average increase of 25% in transmission capacity of high-voltage power lines. In this article you will learn how Heimdall was able to realize this improvement.
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Navily 2022 BRANDED header image v2
As the summer season starts, recreational boaters set sail. To make their lives easier and their journey safer, Navily offers a recommendation score for anchorages across the Mediterranean and Caribbean seas. In this article, we explain how Meteomatics helps Navily create its recommendation scores, and inform its users about the weather conditions.
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Ogre 2022 BRANDED header image v2 uses Meteomatics’ RESTful API to access one of the world's richest and most accurate weather databases. Meteomatics forecasts are now a key component of Ogre’s ML & AI process: used to generate precise power forecasts and solve key challenges of energy companies across multiple sectors.
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ABS Wavesight is adding on-demand, high-resolution historical and forecast weather data on its ABS My Digital Fleet™ risk management platform together with Meteomatics.
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Sunflower Labs uses Meteomatics' Weather API to access hyperlocal real-time and forecast weather data, to enable Sunflower Labs’ drones to reliably and autonomously determine whether a planned flight is safe under current and future weather conditions. A prerequisite for operating drones autonomously. Learn why Sunflower Labs chose Meteomatics' API here.
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The findings are stunning: the most accurate weather data and forecasts lead to superior energy generation and consumption forecasts, allowing companies to optimize their energy management, resulting in valuable cost savings, reduced planning risks and better decision making. In this story you will learn how Hive Power realizes these benefits with weather data provided by Meteomatics Weather API.
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Actemium successfully integrated Meteomatics' weather data API into OSIsoft's PI system. This enables customers to easily integrate Meteomatics weather data directly into their own ERP and data management systems. Actemium was thus able to facilitate the use of Meteomatics weather data for an energy utility company that will use Meteomatics' high-quality data for its energy services in locations with very high temperatures.
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ITEC 2022 BRANDED header image v2
Leicom ITEC AG, a member of the Leicom Group, has developed a software driver for the integration of weather data into the Niagara building automation framework.
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ETH 2022 BRANDED header image v2 min
Clouds are one of the main elements that regulate Earth’s climate. Understanding cloud microphysics is thus paramount to more precise climate projections. In this story, we explain how ETH Zurich’s researchers are using Meteodrones to conduct cloud seeding experiments to study cloud-aerosol interactions and precipitation events.
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Thanks to Meteomatics' high-resolution weather data used in Unisphere's flight management software, Unisphere is improving the safety and efficiency of drone and air taxi flight operations.
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Meteomatics Supports Future Swiss Aerospace Engineers With Weather Data
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Weather data for defense
Meteomatics' technology improves the accuracy of weather forecasts with in-house developed weather drones and a high-resolution European weather model, helping ensure the success of operations in the air, on land, and at sea.
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Data Origin

Where Does Meteomatics Get Its Data From?

We determine weather data with the help of known weather models, radar and satellite data, special downscaling calculations and our own drone technology. By refining various measurement data, we are able to achieve unprecedented accuracy, especially at the local level. Many of our customers find this extremely valuable because they are often engaged in activities that are highly dependent on the local weather. This includes, for example, the production of renewable energy,land and sea transportation or the operation of an airport.

  • Combination of high-resolution weather models

  • Innovative measurement technology with the Meteodrones weather drones

  • Improved accuracy of weather data via downscaling

Step by Step Towards Hyperlocal Weather Output:

  1. Weather data is collected by weather models

  2. Combination of different weather models delivers first-class data

  3. Weather data is enhanced to produce hyperlocal forecasting

  4. Weather data is provided in real time

  5. Customers can access weather data via the weather API

Combination of High-Resolution Weather Models

The processing of high-quality weather and satellite data, from leading centres worldwide, with self-developed scientific procedures and post-processing methods leads to highly accurate forecasts.

When using weather models, a distinction is made between spatial and temporal resolution. The spatial resolution describes the number of grid cells in the forecast model. A high spatial resolution means that the grid points where model output is produced are spatially close together. With a high spatial resolution of one kilometre or less, many local and dynamic effects can be mapped, which greatly refines and thus improves weather forecasts at the local level.

A temporal resolution indicates the change in weather model output over a time interval. We speak of a high temporal resolution when the weather changes are given in five-minute steps or less. With a high temporal resolution, we are able to greatly improve the weather forecasts with regard to the temporal occurrence of the weather events. Our weather data can be provided with a resolution of 1 minute and less.

Meteomatics offers weather models with different resolutions, for more information see Models and data sources.

Models and data sources

What Weather Data Is Available?

Weather data types

Where does the weather data come from?

Weather model data

ECMWF, GFS, DWD-ICON, MF-Arome, UKMO, HRRR, Ensembles, and many more

Radar data

Precipitation data from national radar networks from Germany, Switzerland, Austria, France, UK, USA, etc.

Satellite data

Meteosat, Himawari-8, GOES-16 and 17

Weather station data

Station networks of national weather services: e.g. German and American weather services and some private providers

Atmospheric data

Global weather model data, radiosondes, drones, models for air pollutants/particles/fine dust (ECMWF CAMS, FMI SILAM)

Ocean data

Global ocean models such as ECMWF-WAM, ECMWF-CMEMS, NOAA-HYCOM

River and watercourse data

Individual measuring stations (e.g. Federal Office for the Environment in Switzerland)

Climate data and scenarios until 2100

Global climate model from the Meteorological Research Institute in Japan, climate scenarios based on IPCC's Shared Socioeconomic Pathways

Historical data since 1940

Global Reanalysis Model (ECMWF-ERA5)


Innovative Measurement Technology With Weather Drones

To make weather forecasts even more accurate in the future, we are the only company in the world to collect atmospheric data with our self-developed weather drone system, the "Meteodrone".

Due to insufficient measurement data coverage in the middle and lower atmospheric layer, weather models are in most cases not yet able to accurately predict weather phenomena such as fog, low clouds and thunderstorms. To close this data gap, we developed Meteodrones.

For the first time, this makes it possible to carry out high-resolution and direct measurements of temperature, humidity and wind. If the data is fed into the weather models, fog, low clouds and thunderstorms in particular can be predicted much better on a local level.

Meteodrones Technology

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Martin Fengler - CEO at Meteomatics
Dr. Martin Fengler
CEO / Founder
By downscaling, we are able to extract fine and granular details from existing weather models.
90-Meter Downscaling

Accuracy of Weather Data by Downscaling

For the most accurate weather data, a much higher model resolution is required than is the case with global weather models today. At Meteomatics, we also break down the information from different weather models using local terrain models with a resolution of 90 meters. We call this approach 90-meter downscaling, i.e. scaling the model data with respect to the local topographical conditions.

These local landscape conditions are thus included in the local weather forecasts we deliver. In this way we achieve a refinement of the weather forecasts based on the existing weather models.

To be able to implement this, we have developed a proprietary technology that allows us to downscale model output in real time. The Meteomatics Mix provides the appropriate refined output from all available weather models for each coordinate worldwide. By providing nowcasts in 5-minute time steps, we ensure that we can deliver accurate data for every point worldwide.

Downscaling V1
Historical Data

Historical Weather Data From Meteomatics

In addition to current and forecast data, we also offer historical weather data from weather stations and historical weather model data including historical forecast data from 1940 onwards.

Historical weather data can be used for machine learning or for location analyses, for example. The historical data can be conveniently obtained in all formats via the weather API or via the weather data shop.

Get access to weather and climate data

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Historic Temperature for Zürich (1980-2020)
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Climate Data

Climate Data From Meteomatics

In our Weather API we provide you with various climate data in a compact and simple way. With the integration of climate scenarios, Meteomatics facilitates access to critical meteorological and climatological data for your business and risk planning. This allows you to derive greenhouse gas emission scenarios and make the right decisions regarding climate change.

  • Derived parameters provide the right data the first time, without further conversion and calculation required

  • Standardised time series out to 2100 with one query - for any place in the world, in your desired temporal resolution.

  • Standard file formats and integration in various applications

Climate Projection (Temperature) for Zürich (till 2100)
Climate Projection (Temperature) for Zürich (till 2100)

Climate Scenarios

In order to take socio-economic developments into account in future climate projections, five climate scenarios (SSP) are distinguished based on IPCC's Shared Socioeconomic Pathway. This allows uncertainties regarding the consequences of climate change as well as socio-economic pathways regarding adaptation and mitigation strategies to be included. With the help of the weather map tool MetX, you can visualise different climate scenarios.

  • Sustainability (SSP 1)

  • Social, economic and technological trends (SSP 2)

  • Regional rivalry (SSP 3)

  • Inequality (SSP 4)

  • Development with fossil fuels (SSP 5)

Visualisation of climate scenarios (Year 2080)
Visualisation of climate scenarios (Year 2080)

Climate Change Services

Meteomatics Climate Change Services provide insights from Meteomatics' rich and readily available database of climate projections (CMIP6 data) from 2015 to 2100, easily accessible through the Weather API, to help demonstrate the potential impacts of a changing climate. Our climate advisory services help businesses identify exposure to long-term climate change impacts.

Meteomatics offers unique insights into the physical impacts of climate change, such as:

  • Quantifying hyperlocal physical impacts of climate change on cities, infrastructure, agriculture, etc.

  • Transforming commercial problems and issues into analytical frameworks

  • Adapting the analysis of specific meteorological and business parameters to customer needs

  • Risk analysis and risk quantification based on scientific climate scenarios

  • Coping with the impacts of both the "new normal" and extreme events

  • Scenario analysis with the latest CMIP6 scenarios

Customised reports for locations, countries or areas

Get free advice

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Get Access to Weather and Climate Data

Use the full range of weather data - whether historical weather data, data in real time, forecasts, or climate scenarios out to the year 2100. In addition, new data sources are constantly being developed and added. We invest a lot to be able to offer the most accurate weather data for every location worldwide.

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Permanent Access With the Weather API

With our weather API, you get long-term access to historical weather and long-term climate data: Use the weather API as an efficient tool for integration into your programming environment and thus enable the analysis of weather effects.

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Unique Access in the Weather Data Shop

In our weather data shop you can order individual weather data sets directly from download. Here you will find a comprehensive selection of current and historical weather data as well as sector-specific weather parameters.

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Visualise Weather

Visualise all weather events in a high-resolution map view - with our web-based weather map tool MetX based on the Weather API.

Climate, Weather and Business

We provide all relevant weather and climate data to build up an early warning system for major weather impacts on nature, agriculture and the environment in general. This includes short-term data as well as long term climate data.

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05/03/2024 / Experts predict a highly active 2024 Atlantic hurricane season, with a near-record 23 named storms, 11 hurricanes, and 5 major hurricanes due to warmer ocean temperatures and weather pattern changes. Read on for insights on the heightened risk to the U.S. and Caribbean.
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12/19/2023 / "Weather isn't just a topic for small talk; it's a pivotal factor in retail success.” In this article, we explore how Meteomatics leverages sophisticated weather forecasting tools to empower retailers, during the final week of holiday shopping. By tapping into these tools, retailers can strategically plan for a lucrative opportunity by accurately predicting weather patterns.
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Hurricane due to climate change 2023 01 05 02 21 38 utc
09/08/2023 / Hurricanes are amongst the most violent and damaging of Earth’s natural disasters. Fortunately the mechanisms which cause them to develop are well understood, and the behavior of a hurricane over its lifetime can be well predicted by modern weather models. In this article we describe what hurricanes are and how they are formed, as well as how weather data can be used to mitigate their impact.
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Transmission Lines
08/05/2023 / Trusted by 80% of Europe's top electricity firms, now in America. Our Swiss-engineered platform offers forecasts & predictions tailored to solar, wind, gas & oil sectors. Optimize operations, minimize risks, and maximize yields. Experience effortless, precise, affordable solutions!
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Heat Dangers
07/27/2023 / As record-breaking heat scorches a large swath of the U.S., Meteomatics North America CEO, Paul Walsh, discusses the escalating health risks and economic impacts with Fox Weather. Emphasizing the "Dome of Doom" phenomenon, he underscores the urgency of proactive education and data-driven measures to help prevent disaster.
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Flood Cover
07/19/2023 / A study finds climate change is projected to result in a 52% surge in heavy rainfall events in the American Northeast. U.S. CEO Paul Walsh discusses the economic implications and heightened importance of dealing with what could be another billion-dollar disaster with Fox Weather.
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07/13/2023 / Despite El Niño, long-range forecasters at Colorado State University expect a busier Atlantic hurricane season, and now’s the time to prepare your business. Fox Weather invites Paul Walsh, CEO of Meteomatics North America, to share insights into the updated forecast.
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06/05/2023 / In this article, we explore why wildfires occur, how climate change is affecting their impact, and how to prepare for and manage wildfires.
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06/02/2023 / In this article we’ll explore the causes and consequences of El Niño on businesses and the economy, and discuss the possible implications for the planet during the coming event — and how to prepare for it.
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04/26/2023 / 4 Ways Retailers Can Use Meteomatics Precision Weather Data and AI to Plan for Cold Weather in Spring
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Melanie Luther – Meteorologist and Head of Sales
Melanie Luther
Head of Customer Success

Customised industry solutions

Get in touch - we are here for you.

Contact us if you have questions about specific industry applications or would like advice from our experts! We look forward to your enquiry and will get back to you within one working day.