Unique Climate and Weather Data

Where Does Meteomatics Get Its Data From?

We generate weather data using well-established weather models, radar and satellite data, specialized downscaling calculations, and our proprietary drone technology. By refining various measurement data, we achieve unprecedented accuracy, particularly at the local level. 

This precision is extremely valuable to many of our customers, whose activities are highly dependent on local weather conditions. These activities include the production of renewable energy, land and sea transportation, and airport operations.

• Numerical weather models 

• AI weather models 

• Hyper-local data from Meteodrones

• Improved accuracy with downscaling

Step by Step Towards Hyperlocal Weather Output:

1. Weather models run weather data from various sources

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

3. Weather data is automatically post-processed with a 90-meter downscaling technique

4. Weather data is provided in real time via the Weather API

Innovative Measurement Technology With Weather Drones

To enhance the accuracy of weather forecasts, we are the only company worldwide that collects atmospheric data using Meteodrones, our self-developed weather drone system, capable of flying up to 6 kilometers.

Weather models often struggle to accurately predict phenomena such as fog, low clouds, and thunderstorms due to insufficient data coverage in the middle and lower atmospheric layers. To address this gap, we developed Meteodrones.

This technology allows for high-resolution, direct measurements of temperature, humidity, and wind. By incorporating this data into weather models, we significantly improve the local prediction of fog, low clouds, and thunderstorms.

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.

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.

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.

• Standardized time series data extending to 2100 with a single query - available for any location in the world, at your desired temporal resolution.

• Standard file formats and integration in various applications

Climate Scenarios

To incorporate socio-economic developments into future climate projections, five climate scenarios (SSPs) are distinguished based on the IPCC's Shared Socioeconomic Pathways. This approach includes uncertainties related to the impacts of climate change as well as socio-economic pathways for adaptation and mitigation strategies. 

• Sustainability (SSP 1)

• Social, economic and technological trends (SSP 2)

• Regional rivalry (SSP 3)

• Inequality (SSP 4)

• Development with fossil fuels (SSP 5)

Climate Change Services

Meteomatics Climate Change Services offer insights from our extensive and readily available database of climate projections (CMIP6 data) spanning from 2015 to 2100. This data is easily accessible through the Weather API, enabling the demonstration of potential climate change impacts. Our climate advisory services assist businesses in identifying their exposure to long-term climate change effects.

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

• Quantifying hyper-local 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