The worlds best weather data, on demand

Complex questions deserve quality answers

Build insights and solutions using Meteomatics data to improve decision making, realise efficiencies and save costs.

Whether it’s pushing the boundaries of UAV design and engineering to create our own purpose built weather drones (Meteodrones), allowing us to capture observations missed by traditional methods (such as satellites and weather balloons), downscaling forecasts to 90m or calculating forecasts on the fly to ensure a customer receives a forecast based on the latest observations.

We are committed to the creation of accurate weather forecasts that clients can trust, going to extra effort to make our weather api easy to consume. 

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Easy to use API

Single Source of Weather Data

Single source of weather data

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On the fly calculation for the most up-to-date forecast

Downscaling to 90 metres icon

Downscaling weather forecasts to 90 metres, globally!

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Fast & performant architecture

Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data.

A single API endpoint to access weather and earth data covering the globe, from weather forecasts, observations. Plus Web Feature Services and Web Map Services.

Customers weather forecast requests are calculated ‘on the fly’, using the latest observations. Giving users confidence that they are receiving the most accurate and up to date weather data possible.

We improve the accuracy of weather data by taking into account the detail of the topography (down to 90 metres*) for any lat / long.

Our Meteocache aligns data in time and space to ensure that the Weather API can efficiently and very quickly, return the requested data query despite the size and format of the original data set.

Organizations across the globe and industry trust Meteomatics to deliver

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Heimdall Power increases transmission capacity of high-voltage power lines by 25% on average using weather data from Meteomatics

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.

Weather is more than just important for grid operators

The electric grid is the largest man-made machine. It spans the globe, providing structure, balance and life to the energy system of our planet. It’s an essential infrastructure to enable a sustainable, green energy future. Heimdall Power is a young Norwegian technology company, providing the tools and insights needed to effectively maintain grid operations. Their state-of-the-art artificial intelligence systems ensures optimized grid performance. 

“Weather data is quite important to what we do in Heimdall Power, as it really plays a big role in both contextualizing our models and as input to the models themselves” said Magnus Helgeby, Software Product Manager at Heimdall Power.

Heimdall delivers an innovative approach to tackle current grid operational challenges

Weather data is not only an important input into Heimdall’s energy models, to ensure optimized grid performance. It is also used to develop their own sensors for dynamic powerline rating. The Heimdall Power sensors are assembled in a robust sphere called the neuron. Data from the neurons are presented together with contextual data (such as weather data) through Heimdall Cloud, the user-friendly cloud and software solution from Heimdall. The software uses advanced modelling and machine learning to increase line capacity through dynamic line rating and thermal management. It also provides operators with information about dangerous events like icing – preventing faults before they happen. With better control, grid operators can optimize the distribution of energy and integrate more renewable energy in the grid.

Meteomatics API forecast accuracy verification

Figure 1: Heimdall Power Neuron

Meteomatics forecast accuracy benchmarked against main competitiors

Figure 2: Heimdall Power Logo

With Meteomatics, Heimdall realized on average 25% increase in transmission capacity

“Heimdall Power uses data from Meteomatics to predict both future capacity and destructive events like icing on high-voltage power lines. Using high quality data from Meteomatics Weather API, Heimdall Power is delivering on average 25 % increase in transmission capacity for high-voltage power lines. Consequently, Meteomatics was the natural choice of weather data provider for Heimdall Power’s mission critical software” said Magnus Helgeby, Software Product Manager at Heimdall Power.

The results are impressive. And the benefits are tangible and measurable. For a sustainable energy future and a successful transmission to renewable energies in particular, digital tools, such as Heimdall Cloud, are becoming of great relevance, as it allows to increase grid capacity and operate national grids at the optimal level, which makes power distribution and consumption much more efficient, resulting in smarter integration of renewable energies into the existing grid and less investments to build new or additional grids.

Powerful solutions for transmission and distribution system operators

We at Meteomatics offer tailored solutions based on our powerful Weather API. Meteomatics' weather and climate database contains a wealth of global weather information (>7 petabytes) across all timescales, at incredible detail (90-meter resolution). Our weather API offers everything you need from one source, through just one interface. The data can be retrieved within milliseconds, allowing real-time retrieval. Meteomatics improves the operations of >100 customers from the energy sector, resulting in strong industry expertise that allows us to tailor our solutions to specific industry needs.

About Heimdall Power

Heimdall Power is a Norwegian technology company working on digitizing the worlds power grids – the backbone of our energy system. The company designs and develops industrial IoT devices and smart software solutions for TSO’s and DSO’s - helping to make the worlds grids smarter, more capable, and greener.

To learn more about the benefits of dynamic line rating and the power grid services from Heimdall, you can either visit heimdall.com or write an email to [email protected].

Contact us - we are happy to help! 

Talk to our experts to learn how we can also help you improve your transmission line capacity or help you to predict destructive events on power lines with our highly accurate weather data from our API.

Talk to Dr. Matthias Piot, our Energy Expert, Meteorologist and Client Manager [email protected]

Leave us a message

Successful integration of Meteomatics weather data into PI system enables numerous new use cases for OSIsoft users

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.

Energy (especially for cooling) is an important issue in the hottest regions on earth. These areas include, for example, Australia, regions of the United States, and regions in Africa and Arabia. In these places, sustained temperatures in the 50-degree range during summer are not uncommon. The energy utility in this article, which does not wish to be named in this article for different reasons, is one of the leading suppliers of solutions in the field of energy and cooling. In order to better predict cooling needs and energy consumption, and thus increase resource planning and operational efficiency, the energy utility was interested in high-quality and hyperlocal weather data.

The problem - challenging requirements for data availability and visualization

The energy utility has an urgent need for process-relevant weather parameters of multiple locations to be visually accessible at any time in a dedicated central data management system, thus keeping operational efficiency permanently in the optimal range. This system must therefore be able to store weather data both in the future (7-day forecast) and historically (over years) in a long-term archive and make it visually available to the operating personnel at any time (Web-based trend displays).

Actemium builds an integration solution for a PI system

Actemium Switzerland, as an experienced system integrator for industrial and building automation, production, and data management systems, was able to quickly offer a solution based on OSIsoft's existing PI system. A PI system collects, stores and manages data from plants or processes. A PI system can comprise many different products. PI interfaces retrieve data from various data sources and send it to a PI data archive. Users on other computers can retrieve the data from the PI data archive and display it using client tools.

Thanks to many years of project experience with the PI system and use cases from many industrial sectors (pharmaceuticals, food, chemicals, energy supply, logistics), Actemium was able to implement an optimal and system-compliant solution. This allows the energy utility to integrate additional locations and additional weather data quickly and flexibly into the PI system in the future via reusable software templates.

Meteomatics API forecast accuracy verification

Figure 1: PI Vision visualization cockpit, showing forecasts of 4 weather parameters for a selected plant of the energy utility company.

PI Systems and Weather Data: Multiple Benefits for All Business Units

This exciting use case demonstrates how Meteomatics' weather data API can also be used in OSIsoft's PI systems through integrators such as Actemium, enabling numerous new use cases for companies running OSIsoft's PI system.

The PI System is a high-performance, real-time data acquisition system that can store millions of sensor or production data points over decades.

For this purpose, it offers more than 400 different interfaces and connectors for connection via all common industrial communication protocols.

With the central components PI Data Archive and Asset Framework, the mostly very automation-related data is transformed into a user-friendly asset model and thus made uniformly available to all departments in the company (e.g. production, quality assurance, corporate management, maintenance, development). This can be done very intuitively via web browser with PI Vision or in Excel with PI DataLink.

Based on this archived production data, recurring key figure calculations and data analyses can be stored and thus executed continuously and in real time.

In addition to the classic analog and digital process data, time-related events such as batch start and stop, limit value violations, can also be stored in so-called event frames and reported as required.

Thanks to the successful integration of Meteomatics weather data, the energy utility now has the ability to better predict the cooling needs as well as the own energy consumption, thus increasing resource planning as well as its own operational efficiency. This leads to increased planning reliability, lower risks and significant cost savings.

Figure 2: Diagram of the data infrastructure, from the data source to the data consumer.

Meteomatics API forecast accuracy verification

Weather data integration in PI systems creates benefits in numerous industries

The range of applications for PI systems with OSIsoft is very broad, as a large number of companies from a wide variety of industries already use these systems. Other use cases address the food industry, for example, when it comes to the weather-dependent demand for consumer goods (beverages, etc.) or the weather-dependent production of food (harvest quantities, etc.). Also possible is the weather-dependent optimization of logistics processes (fastest and safest route, etc.) for large transport companies as well as the application in the field of building automation (heating and climate control). As this small case study has shown, there is also a lot of potential for application, especially in the energy sector, such as the optimization and coordination of renewable energies (wind farms, hydropower, solar) for efficient integration into energy systems.

About Actemium and the energy utility company

Actemium - Boosting industrial performance for a more sustainable world

The Actemium brand stands for consulting and practice-oriented support on our customers' way to Smart Factory or Smart Building. To this end, we plan, install, and maintain intelligent MES and automation solutions to increase energy efficiency, productivity and profitability. We provide our customers with holistic, competent, and vendor-neutral support. We are committed to intelligent planning, efficient implementation
and maximum availability. We make a sustainable contribution to protecting the environment and enhancing the quality of life through our MES and automation solutions and services.

About the energy utility company

It is a leading energy utility that offers its service in several countries. The energy utility tries to place new services and products in the market through innovative technologies and solutions. Through the increased use of digital tools and data-based decision-making tools, the energy utility company has already been able to better adapt its offerings to the needs of customers and markets.

Contact us - we are happy to help! 

If you are interested in integrating our weather data into a PI system or if you would like to know more about Meteomatics' other offers and services, please contact our energy expert Dr. Matthias Piot directly.

Talk to Dr. Matthias Piot

Energy Expert, Meteorologist and Client Manager

[email protected]

Leave us a message

Safe autonomous flying - thanks to data from Meteomatics’ API

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.

"We tried numerous providers, but ultimately the conclusion was clear: the data from Meteomatics are reliable to keep our drone systems flying safely and on schedule," Yannik Nager, Robotics and Machine Learning Engineer at Sunflower Labs, tells us. To ensure the flight safety of the autonomous drone systems, Sunflower Labs has been using various weather parameters from Meteomatics' Weather API since August 2021. Sunflower Labs uses the following weather parameters to inform its flight planning: wind speed, wind gust speed, temperature, hail, and precipitation (5m interval).

In addition to wind speed and precipitation, snow and hail can have a significant impact on the flight operations of autonomous drone systems as well. As Yannik Nager explains in further detail; "Since precipitation has high temporal and spatial variability, accurate and frequently updated data is extremely important for us. To determine if a flight is safe, we need to make sure that the amount of precipitation is below our self-defined threshold during the very specific time window for the planned flight."

"Among the tested providers, Meteomatics is the only one that offers precipitation data with a measurement interval of only five minutes (precip_5m). Most other providers only offer intervals of one or more hours, which is too large a time frame and mostly completely unusable for our application" Yannik Nager further explains to us. "In addition to determining for the safety of a flight, we also want to use advanced weather data to predict the maintenance of our drones. Drones deployed in areas with high salinity in the air (coastal regions), for example, require more regular maintenance than systems stationed in dry mountainous regions. Meteomatics allows us to use such data for any location around the world," Yannik Nager continues.

"The data from Meteomatics and the application of the Weather API has brought many benefits to Sunflower Labs" enthuses Yannik Nager. "In fact the extensive number of weather parameters, the high update frequency of the models (< 5 minutes) as well as the very impressive accuracy of the weather forecasts, have excited us from the beginning."

Figure 1: Visualization of the parameter Wind_Speed: Comparison of the highly frequented Meteomatics data (red line) to other providers (yellow and green line).

Figure 1: Visualization of the parameter Wind_Speed: Comparison of the high frequency Meteomatics data (red line) to other providers (yellow and green line).

But it wasn't just Meteomatics' Data that won Sunflower Labs over; the simplicity of the API application made working with Meteomatics' Data easy and convenient from the start. "Here you can see that Meteomatics has put a lot of thought into the technical usability of its API. For example, there is only one API endpoint for all-weather parameters and data types (historical, current, forecasts), which allows us to integrate all their data quickly and through a single interface. Additionally, it is possible to handle whole areas (multiple locations at the same time) with only one data query. Meteomatics extensive documentation covering how to use the RESTful API, as well detailing the numerous weather parameters available, made using Meteomatics API and integrating Meteomatics Data so much easier".

 

About Sunflower Labs

Sunflower Labs makes an autonomous drone security system for outdoor use in residential, commercial and industrial settings that detects and deters unwanted visitors. Sunflower Labs was founded in 2016 by Alex Pachikov, Christian Eheim and Nicolas de Palézieux, and is backed by notable investors including General Catalyst, Gentian Investments and Stanley Ventures. The company is based in Zurich and San Francisco.

Higher accuracy leads to improved machine learning for energy forecasting! Hive Power reveals the results of its weather forecast verification.

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.

Setting the stage

Energy forecasting is of primary importance in day-to-day market operations. Short-term forecasting generally involves forecast horizons that range from a few minutes to a few days ahead. Energy Suppliers and Distribution System Operators benefit from accurate predictions of power demand and generation because they can optimally orchestrate their flexible assets to achieve their business goals.

Weather is king for energy companies

Weather is by far the most important external factor affecting energy consumption and generation. For this reason, Hive Power decided to conduct an internal research study to review and select the most performant numerical weather prediction provider.

One important criterion Hive Power considered was the availability of historical weather forecasts (that are available in Meteomatics API back until 1978). Many weather providers do not archive and store their predictions. However, historical weather forecasts are of crucial importance to train an energy prediction model. To be robust and reliable, a model should be trained on the same type of data that will be used at inference time.

Looking for the weather forecast benchmark

Hive Power looked at a dozen different providers, filtered out those that did not tick our boxes, and ended up with five finalists. Hive Power requested a year’s worth of hourly predictions of ground-level temperature and solar radiation generated for a single location at around midnight and covering from 24 to 48 hours ahead, which is the typical forecast horizon of Hive Powers’ energy prediction models. Hive Power compared these predictions with actual local observations and were stunned to discover Meteomatics’ API superior performance.

In the figures below, Hive Power shares its forecast verification results. In Figure 1, Hive Power plotted the distribution of the discrepancy between observed and predicted temperature. In Figure 2, Hive Power overlaid the five distributions for more convenient comparison. A similar situation was found for the solar radiation parameters. It became clear to Hive Power that Meteomatics’ API weather forecast data was the most accurate and well-calibrated.

Meteomatics API forecast accuracy verification

Figure 1 - Distribution of the discrepancy between observed and predicted ground temperature for five different weather providers. The vertical dashed lines indicate the mean of each distribution (only Meteomatics' mean error is centred on zero). The Mean Absolute Error (MAE) is reported on each chart (the lower, the better).

Meteomatics forecast accuracy benchmarked against main competitiors

Figure 2 - The same error distributions of Figure 1 overlaid (after estimating their kernel density). Meteomatics' curve is the narrowest and the only one that is zero-centred.

“Meteomatics checked all the boxes and exceeded our expectations”

“We were looking for a one-stop-shop that could provide us with up-to-date and detailed weather data covering Europe, which needed to be conveniently available via a RESTful API. Hence why we were very excited about partnering with Meteomatics, and the commercial possibilities Meteomatics’ API could generate for Hive Power. We took quite some time to evaluate several numerical weather prediction providers. It was not an easy choice because of our demanding list of criteria, but Meteomatics checked all the boxes and exceeded our expectations. We were after a provider that covered the whole world, with a focus on Europe and especially the Alps, which are a challenging region when it comes to high-resolution weather forecasting. It was clear from our own forecast benchmarking exercise that Meteomatics was the most accurate weather forecaster, particularly over the short term. We were pleased to discover the rich plethora of standard and advanced weather parameters that Meteomatics’ API offers. Moreover, Meteomatics was one of the few providers that easily allowed the retrieval of archived historical weather forecasts, which are of critical importance to correctly train our machine learning models. We are thrilled to have switched to Meteomatics as our weather data provider of choice, and we foresee a long and fruitful partnership with them.’’, said Gianluca Corbellini, Managing Director at Hive Power.

The one stop-shop solution for all needs: Meteomatics Weather API

Meteomatics Weather API allows Hive Power to inform and enrich their proprietary energy consumption and production forecasting models. Powered by the latest and most advanced machine learning techniques, Hive Power’s Forecaster computes short-term probabilistic predictions to simplify how energy retailers and grid operators manage the aggregated energy production and consumption. Accurate energy predictions are crucial for effective peak-shaving, performant energy trading, robust grid stability, and avoidance of congestions.

About Hive Power

Founded in 2017 in Switzerland, Hive Power is a leading provider of innovative solutions for smart grids. Hive Power provides a SaaS platform to optimize your existing electrical distribution grid, both from the technical and economic points of view. Hive Power is implementing innovative techniques and business models to reach the customer-centric 4D energy future – Decarbonization, Digitalization, Decentralization, and Democratization.

Contact us - we are happy to help! 

Talk to our experts to learn how we can also help you improve your machine learning and energy forecasting with our highly accurate weather data from our API. 

Talk to Dr. Matthias Piot, our Energy Expert, Meteorologist and Client Manager [email protected]

Leave us a message

MapTiler and Meteomatics collaboration offers developers hyperlocal weather data on one of the most advanced mapping software platforms

MapTiler and Meteomatics have launched a strategic partnership to offer developers’ global weather visualizations on interactive maps that are captivating and allow users to easily communicate the weather story with striking graphics.

MapTiler - an award-winning software mapping provider from Switzerland, specializing in interactive maps: has launched a strategic partnership with Meteomatics to display weather visualizations on their innovative mapping products. MapTiler is now able to offer its users the ability to integrate Meteomatic’s Weather Data into their applications. Whilst Meteomatics' API users can now visualize weather data on MapTiler and access their WebGL library, enhancing the range of visualization software available to Meteomatics' API customers.

Please take a look at the video to see the new weather visualizations users can create with Meteomatics' API.

 

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Visit maptiler.com to get the latest insights on their new product developments.

 

 

News

Meteomatics Energy Market Weather Update: 14th January 2022

Meteomatics Energy Market Weather Update: 14th January 2022

Welcome to Meteomatics first Weather Update for 2022 (January & February) Headline: Temperatures are expected to decrease significantly around the 22nd of January in all regions included in the report. The forecast for the UK and Germany is more uncertain than...