Hyperlocal and accurate weather forecasts to solve weather questions in the global automotive industry
All through a flexible and convenient single api endpoint
All through a flexible and convenient single api endpoint
Weather insights created specifically for the automotive industry
Meteomatics delivers weather data to organizations operating within the automotive industry to help them innovate, realize efficiencies and improve safety.
Meteomatics’ Weather API offers users access to a rich database of weather information, including accurate global weather forecasts downscaled to 90 meters horizontal resolution and available in 5 minute timesteps. Plus, severe weather warnings and alerts, en-route weather conditions and many more to help the automotive industry innovate, by applying weather to a range of applications and most importantly, improve safety of vehicles now and the autonomous vehicles of the future.
Meteomatics Weather API gives users access to all Meteomatics meteorological information through a single access point. Thereby, allowing users to request historic, real time, forecast, seasonal data, visualizations and climate projections using a uniformal access method, offering the automotive industry a more efficient method of consuming meteorological data, whether companies need to to understand weather conditions or carry-out post event analysis, from a more data driven perspective.
Automotive Weather Parameters
- Temperature in 90 m resolution
- Storm & hail forecasts
- Route weather conditions
- Freezing rain
- Black ice
Importantly, Meteomatics Weather API removes the complexity of handling and processing weather data, allowing users to retrieve large volumes of weather data quickly. Customers can simply and easily specify exactly which data they need, and have it delivered via their chosen format and to their chosen location.
Meteomatics’ Weather API is compatible with a wide range of open source data connectors and data formats, such as CSV, R, Matlab, Python, C++, Golang and many others. Plus its Web Mapping Service allow customers to build useful visualizations, all using the same API endpoint.
In-Car Entertainment Systems
Meteomatics has provided accurate forecasts for in-car entertainment systems of luxury car manufacturers, over the past decade. All of whom have been extremely satisfied with the ability to simply query current weather conditions (nowcast and forecasts) for any location in the world and quickly ingest Meteomatics data into their existing data infrastructures.
Meteomatics API used to inform and improve predictive maintenance
Inform the predictive maintenance of the vehicles you manufacture or parts you supply, by incorporating weather and environmental insights created specifically for the automotive industry to better inform servicing of vehicles and deliver the best possible customer experience.
Meteomatics’ API already delivers industry specific (derived parameters) to help manufacturers better inform predicted lifetime of components impacted by weather or particles in the atmosphere, such as the lifetime of air filters. Where manufacturers can query the immediate filter surface load, calculated from the sum over the particle concentration, an insightful parameter when combined with pore size and throughput of the air filter.
Alternatively users can request parameters individually using Meteomatics’ API, such as global dust related parameters, which take into account the size of particulates and concentration, sea salt and many more.
Electric Vehicle Battery Range
Batteries can operate over a wide range of temperatures but special care must be taken when charging, as extreme cold and high heat can reduce charge acceptance, varying by battery type:.
Utilise Meteomatics Weather API to avoid charging in freezing temperatures and accurately determine the ambient temperature to better inform battery charging, giving users and manufacturers more confidence to precisely predict battery range, potentially helping the industry and users overcome ‘battery anxiety’.
Meteomatics API factors in the local topography impacts on weather, with Meteomatics post processing system downscaling the weather models ingested and recalculating the forecast using a digital terrain model to create a global surface temperature forecast at 90 metre resolution. Additionally, we also increase the temporal resolution to 5 minutes!
Meteomatics API offers the electric vehicle industry the opportunity to acquire the most detailed and up to date weather data available today! Helping the automotive industry improve customer experience, vital as drivers are now evaluating the benefits of moving away from the combustion engine to a more sustainable, battery powered future.
Supporting the development of autonomous vehicles
Meteomatics API already supports some of the most well known brands with accurate hyperlocal weather forecasts, to determine weather impacts on the vehicle and its systems such as onboard LIDAR, Radar and camera systems, which are continually monitoring the external environment to inform the vehicles decision making processes.
As a disruptor in the weather market, Meteomatics always looks to help its partners and customers innovate. Helping them answer complex questions that require weather data to achieve a competitive advantage, such as using images to build clusters to understand weather conditions in exact locations, by using camera images have been captured in heavy rain or snowfall to support classification algorithms in machine learning applications. Meteomatics weather API provides forecast and historic data containing weather symbols and weather code (WMO descriptions of weather conditions) to improve deep learning techniques and understand weather impacts on vehicle decision making and performance.
Weather Parameters created specifically for the Automotive Industry
Meteomatics has built partnerships with automotive manufacturers across the world over the past decade, supporting industry use cases with our standard weather parameters and our range of derived parameters, created specifically to support the automotive sector.
Wintry Road Parameter
- Snow depth
- Amount of fresh snow
- Amount of snow melt
- Snow density
- Snowfall probability & snow water equivalent
- Frost depth
Road Surface Temperature
- Surface Energy Balance (driven by radiation)
- Heat conduction model (simulates heat transfer in ground with regards to ground material)
- Water/Ice accumulation model (simulates road conditions)
Slippery Road Indices
Available for Intervals 1h, 3h, 6h, 12h, 24h
- Probability for slippery road conditions (0 – 100% )
- Binary Index (0: no slippery road conditions, 1: slippery road possible)
Improved Forecast Quality due to Vehicle Data
Modern cars continuously evolve into rolling computers and meter besides the motor performance and further technical quantities also the temperature outside the car. These measurements are used for optimised regulations of the air conditioning but also as source of information for drivers. One question arises naturally: Which potential does the data hold beyond these applications when it comes to enhancing the forecast quality of various weather products?
Temperature measurements can on the one hand be used as ground truth for the assimilation into numerical weather prediction models and on the other hand serve as database to define current conditions but also to enhance nowcasting systems. In the frame of a research project, the benefit of the assimilation of these measurements for different forecast horizons and parameters were examined using high resolution weather model calculations. In addition, concepts with the focus on road safety were developed and tested.
"The research results provide concrete insights into the influence of the temperature measurements on both the forecast quality of numerical weather prediction models and road safety relevant conditions and nowcast products. In a nutshell, explicit conclusions on the value and potential of the temperature measurements of the Daimler vehicle fleet were successfully gained."
Meteomatics’ Nowcast, also available within Meteomatics Weather API, offers unprecedented temporal and geographic resolution.
Meteomatics' Weather API calculates a nowcast using the latest radar image, lightning data and satellite cloud cover. Our nowcasts are available in 5 minute timesteps for the next 2 hours, giving users insight into real-time forecasted weather conditions.
Meteomatics’ nowcasts provide precipitation amounts for all types, providing extra detail for hail where we forecast the maximum size of hail, forecasts for freezing rain that benefit from our advanced post processing methods and downscaling, allowing Meteomatics to accurately forecast the weather type and alert customers to the specific weather hazard, which many other modelling centres find difficult to forecast with the same level of confidence.
Accurate forecast of wind speed and gusts using Meteomatics’ API
High winds and strong wind gusts present a danger to high sided vehicles (trucks and vans), Meteomatics API is already used by organizations responsible for highways as well as transportation companies, to improve safety and protect life.
The downscaling performed by Meteomatics API to factor in detail of the local topography, combined with local weather stations to calibrate the weather forecast, allowing Meteomatics API to provide users with the adjusted forecast for each individual query made, providing users very accurate wind forecasts and weather alerts created in consideration of the topographic impacts on wind parameters.
Fog is also a significant hazard for the automotive industry, often causing long delays as motorists decrease speed and can lead to accidents due to poor visibility, bringing road networks to a complete standstill. Meteomatics accurate forecasts are critical to improve users ability to understand the where forecast is expected in detail, thanks to our 90m horizontal resolution and 5 minute time-step.
Whatsmore, users can request precipitation and lightning data down in realtime (down to 5 minute time steps) and with incredible detail at 90m horizontal resolution. Meteomatics API also supports Web Mapping Services & Web Mapping Feature queries.
Wintry Road Conditions
Inclement weather affects road travel in more ways than just causing slippery roads, wintry weather conditions can make driving conditions dangerous. As a Swiss business we have a lot of experience forecasting wintry weather conditions and delivering them to customers who depend on their accuracy for protection of property and life. Meteomatics API includes snow depth, amount of fresh snow, amount of snow melt, snow density, snowfall probability & snow water equivalent. Plus frost depth and frost warnings.
Meteomatics experience of forecasting wintry weather, extends to the risk snow can bring to the environment surrounding a road with our tree fall index, providing warnings on the likelihood of trees falling in an area, by tree type.
Meteomatics API support route queries so that owners and operators can determine weather conditions and their severity to potentially avoid severe weather impacts, our API supports many different parameters associated with wintry weather.
Meteomatics Road Surface Temperature
Meteomatics API calculates a road surface temperature which benefits from the downscaling applied to Meteomatics weather forecasts and can be calibrated with local station data to create a very detailed model of road surface temperature, with the potential to support many applications, all year round.
Meteomatics’ API users are able to submit an API query for any road on the planet API to receive an accurate forecast that has already taken into account surface energy balance (driven by radiation), heat conduction model (simulated heat transfer in the ground) and a water/ice accumulation model (simulates road conditions).
Meteomatics Slippery Road Index
The road surface temperature parameter is important in allowing Meteomatics to calculate the very useful slippery road parameter, which can be configured to deliver warnings / alerts if the conditions of a slippery road are highly probable. Providing a probability of slippery road conditions within defined time period (0 - 100%).