Supplying unique meteorological information to inform the aviation industry
Delivered through a flexible and convenient single api endpoint
Bringing accurate and easy to consume weather data to the aviation business
Meteomatics delivers weather data to organizations operating within the aviation industry to help them innovate, realize efficiencies and improve safety. Meteomatics’ Weather API offers users access to a rich database of weather information, including, METARS, AMDAR observations and thousands of weather parameters at the surface, at different height and pressure levels throughout the atmosphere.
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 aviation industry a more efficient method of consuming meteorological data.
Furthermore, Meteomatics Weather API is compatible with a wide range of open source data connectors and data formats, ensuring that Meteomatics Weather API is accessible and easy to integrate into a wide variety of applications.
Find out how we can support your aviation business
Meteomatics' radar, hail and lightning forecast data for airports and pilots
The most dangerous part of any flight is take off and landing, whilst planes are designed to handle a lighting strike. Pilots and air traffic control are very interested to better understand if a weather forecast includes the risk of lightning and hail in the vicinity of an airport. An awareness of these weather conditions support a meteorologist in recognizing present cloud types are in the area, which are important considering the severe weather they bring (particularly cumulus nimbus. Severe weather such as microbursts and downdrafts in thunderstorms can push aircraft downwards, creating a significant loss of lift that can have catastrophic impacts.
Meteomatics recognized that it's essential for airports to understand their local weather conditions to inform their operations and support pilots flight planning. Meteomatics’ weather forecasts include 90m downscaling that are applied to pressure, precipitation, temperature and wind, combined with our advanced statistical post processing, create the accuracy and weather detail airports require. Plus, we also create a combined radar, hail and lightning web mapping services (WMS) & web feature service (WFS) available all through the same API endpoint, greatly improving the flexibility and usability of Meteomatics' Weather API.
Meteomatics' detailed weather data sets and visualization tools inform all decision makers in the aviation industry, whether it's helping advise pilots on whether they will need to spend time in a holding pattern to avoid severe weather or divert to a new destination. Furthermore, Meteomatics' Weather API assist airports determine when a weather event presents a risk to an airports infrastructure and if air traffic control need to adjust their take-off/landing schedule accordingly.
Meteomatics Icing Forecast & Index
Predicting the risk of icing in aviation is absolutely essential, with in-flight icing posing a major challenge that operators must mitigate to ensure the safety of their passengers.
Meteomatics Weather API gives users access to global icing forecasts, predicting the expected occurrence of icing on different altitudes and allowing for early circumnavigation, with forecasts provided at various heights globally and can be queried every 5 minutes.
The image shows icing potential at 500hPa displayed via the powerful Meteomatics Web Mapping Service. Highlighting the icing potential along the cold front associated with the strong low pressure system west of Ireland.
Meteomatics' icing forecast is based on multiple different sources such as radar data, satellite images and high resolution weather models, and has been developed and validated by BV87-project with FOCA / BAZL.
Airbus Global Storm Forecast
Meteomatics' Weather API gives customers access to Airbus’ satellite-based global thunderstorm cell detection and prediction data, called Cb-global.
Airbus’ Cb-global system applies sophisticated algorithms to global weather satellite data feeds, thereby detecting moving directions and speeds of every single thunderstorm cell and their future positions, around the globe, in real time and for the next 60 minutes.
Airbus'c Cb-global provides precise outlines or polygons for every individual thunderstorm cell instead of more general probabilities for thunderstorm activities for larger areas, which are typically provided by numerical weather models. This precision has a significant value for the aviation domain – especially for pilots to circumnavigate these no-go zones.
Such information is more important than ever, as severe weather phenomena like thunderstorms already cost operators millions of dollars every year. However, with Cb-global, these costs could be reduced significantly.
Meteomatics' Nowcasts predict realtime weather events more accurately
The Power of Meteomatics Nowcasts
Meteomatics Nowcast data set, 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, which is important for pilots so that they can avoid any damage to the airframe for example.
Meteomatics also provides forecasts for freezing rain that benefit from our advanced post processing methods and downscaling, allowing Meteomatics to accurately forecast the likelihood of freezing rain, which many other modelling centres find difficult to forecast with the same level of confidence.
Meteomatics Weather API allows users to make intelligent data queries
Meteomatics offers route based forecasting within its API, users can simply specify the time, altitude, latitude and longitude of their flight path. Route based queries offer users the opportunity to reduce the size of their data payload, enabling them to request a forecast over a large geographic area and continually update the forecast whilst flying. Ensuring that a pilot and support staff have access to the latest weather information to aid operational decision making. Forecasts outputs are available as either csv, json or xml.
Meteomatics Weather API also allows users to request forecasts as polygons. Polygons facilitate the selection of arbitrary areas all around the globe. Users can query any weather parameter for the selected polygon and obtain mean, median, minimum or maximum values. The query can be either performed for a single point in time or for a time range. In order to define the polygon, users need to provide the desired vertices (latitude, longitude). Forecast outputs are available as either csv, json or xml.
Creating hyper-localised forecasts for airports using Meteomatics Meteodrones
Severe weather often brings disruption to passengers, airports and business, and lead to costly delays and cancellations.
Accurately forecasting weather events that can have significant impacts on the aviation industry such as fog, hail, severe localized rainfall and thunderstorms can be really challenging. Particularly with low cloud and fog having the potential to severely disrupt the operations of airports.
The lack of weather observations in the lower part of the atmosphere (called the planetary boundary layer), can directly impact the accurate prediction of severe weather events.
Meteomatics has designed and manufactured its own fleet of weather drones, called Meteodrones. Meteodrones are engineered specifically for collecting weather observations and can operate in some of the most challenging weather conditions (e.g. severe thunderstorms – test flight completed with NOAA’s National Severe Storms Laboratory in the USA). Plus, they are certified to fly beyond visual line of sight (BVLOS) and can fly up to 6 km into the atmosphere, collecting weather observations throughout their flight.
Meteomatics ingests the data captured by its Meteodrones and other observations to run its limited area model, creating a weather forecast that excels in predictions of fog, icing, thunderstorms, severe localized rainfall and lightning.
Meteomatics has proven the value its Meteodrones bring to the weather industry, participating in trials, which resulted in the creation of a hyper-localized forecast for Zurich airports, called the DETAF project.