Skip to main content

Vaisala forecasts the Xweather

Data ranges from road conditions and air quality to heat wave detection and lightning strikes
By Adam Hill October 3, 2022 Read time: 2 mins
Vaisala's XWeather suite provides weather and environmental data

Vaisala has launched Xweather, a forecast and observation suite of services providing real-time and hyperlocal weather and environmental data via sensors and machine learning.

Information ranges from road conditions and air quality to heat wave detection and lightning strikes, using what Vaisala calls "a combination of intelligent hardware and software, utilising the latest artificial intelligence and machine learning technologies".

The firm says Xweather brings a new level of accuracy to forecasting by combining massive amounts of weather and environmental data from several sources.

“Until now, the lack of real-time, local data has been a major source for error in weather and environment forecasting," says Samuli Hänninen, head of Xweather.

"With Xweather, businesses and developers can utilise data about the environment in real time from a hyperlocal location that is relevant for them."

Solutions include predicting the availability of renewable energy - such as wind and solar - to increased driving safety and air quality monitoring.

Xweather can also be used to predict lightning strikes at roadsides, which means infrastructure and rescue services can be mobilised quickly to manage a potential fire and thus protect homes and lives.

“Understanding is not enough: we need to take action," continues Hänninen. "We want to help organisations not only think and plan, but to act. The data and insight are available now, let’s together put that data to work."

Xweather data products can be delivered as API or enterprise package and include:

MapsGL – high-quality, vector-based weather data, imagery, and visualisations.

Automotive – Weather, road weather, and air quality information for infotainment, navigation, advanced driver assistance, and autonomous driving.

Lightning – Real-time lightning data, including classification of strikes and their damage potential.

Renewable energy – Historic data sets and forecasted wind and solar data.

Air quality – Air Quality Index and a hyperlocal Air Quality Forecast service connected to local sensors for street level AQ information and forecasts. 

Solutions for businesses with Xweather include Wx Beacon, Thunderstorm Manager, Wx Horizon and RoadAI.
 

For more information on companies in this article

Related Content

  • Preparing for unpredictable precipitation
    August 18, 2015
    ITS solutions are helping streamline winter road maintenance for Delaware and Illinois, two states that must deal with dynamic weather and varying snowfall totals. Andrew Bardin Williams reports. Wilmington and Newark (pronounced new-ark) are two vastly different cities that sit on opposite ends of Delaware. Newark is a sleepy university town of roughly 30,000 residents abutting the state’s western border with Maryland and Pennsylvania, and often gets confused with its larger namesake in New Jersey.
  • Observing driver behaviour in real traffic condition
    March 16, 2016
    The EU’s UDRIVE project will investigate driver behaviour in terms of road safety and the decarbonisation of road transport, as Nicole van Nes and Silvia Curbelo explain. There were nearly 25,700 fatalities on European Union (EU) roads in 2014 or, to look it another way, roughly 70 people are killed in traffic accidents on European roads every day - and many more are injured. Around 22% of the fatalities are pedestrians, 15% will be motorcycle riders and 8% cyclists. So despite the improvements in road safe
  • Pennsylvania and Georgia contract wins for Rekor Systems
    January 29, 2024
    Firm studies vehicle patterns in Philadelphia's Navy Yard and in Metro Atlanta
  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case: