The Weather Company, an IBM business are leveraging one of the largest Internet of Things (IoT) platforms in the world to provide critical weather data to millions of people in currently underserved areas. With severe weather statistically occurring more frequently, governments and businesses are seeking supplemental weather data to better prepare for impending disasters.
in 2001 Weather Underground (WU), a subsidiary of The Weather Company, developed the Personal Weather Station (PWS) Network. With over 200,000 stations in 195 countries, this network enables The Weather Company to provide hyperlocal forecasts to millions around the world with unprecedented accuracy. Each station is equipped with multiple sensors for detecting barometric pressure, humidity, temperature, wind speed and direction, and other factors. Greater personal weather station data leads to more precise and enhanced forecasts, which can help governments and communities better anticipate and act on weather conditions.
“The Weather Company’s weather forecasting strength is based on more than 160 weather models and the expertise of more than 150 meteorologists to produce the most precise and accurate forecasts available,” said Mary Glackin, head of science & forecast operation, and senior vice president for public-private partnerships, The Weather Company. “We are committed to continuing to improve the accuracy of our forecast and working in concert with national meteorological services toward our goal of providing every person on the planet with the weather forecast information they need to be safe and prepared in the face of weather. As our climate continues to change, our mission will become even more critical.”
Helping underserved areas with Watson and weather
To improve the availability of such data, Weather Underground is collaborating with various local meteorological and government organizations to provide 100 personal weather stations where they may be most beneficial based on population density, web connectivity, current infrastructure gaps, and exposure to unique severe weather challenges. With this criteria in mind and as part of IBM’s philanthropic Smarter Cities Challenge program, Santiago, Chile and Vizag, India will be among the first cities in the program to receive personal weather station donations. These stations will help city leaders and citizens better prepare and respond to emergency events, including weather-related natural disasters such as flash flooding, landslides, extreme drought and heat. As the network is expanded into these areas, the data will augment official infrastructures, and combined with severe weather warnings and alerts issued by national meteorological agencies, will help communities takes measures to remain safe during hazardous or life-threatening weather.
As the PWS Network expands and integrates with the Watson IoT Platform, researchers can leverage the cognitive computing power of Watson to develop new systems and applications for things like precision agriculture (e.g., optimized irrigation, fertilization, pest control) for these emerging and developing markets, thereby providing integral solutions for governments, city planners and businesses looking to optimize industry growth and management of critical resources.
In addition to IoT infrastructure expansion and data availability, the installment of these weather stations in data-sparse areas provides a unique opportunity for researchers and meteorologists to quantify the improvement in forecast accuracy as a result of the data ingested from each new each station over time. IBM’s Watson IoT technology, with the aid of this personal weather station data, will extrapolate upon current atmospheric models – enabling forecasters to potentially discover new predictive patterns.
As various IoT sensors have been introduced within the global marketplace, the expectation of IoT capabilities to help improve public safety, resource management, and streamline various business and industry needs has grown exponentially. In an effort to create an enhanced IoT infrastructure to address these needs, Weather Underground is working with the Trans-African HydroMeteorological Observatory (TAHMO) to deploy more than 300 personal weather stations across Kenya, Nigeria, and various other African nations, in close cooperation with the national meteorological agencies. Each of these stations will be placed in a strategic location to serve a historically underserved community with real-time, accurate weather data. Potential results of the installations include helping improve irrigation and agricultural resource management as well as providing unique climate insights for the aviation, power, insurance, and various service-related industries.
IoT Devices can now understand their device context
Weather is so important, for so many things. Weather predictions can help to tell us how to control our heating, to close the skylight when it’s going to rain, or tell us to get our vehicle under cover when a damaging hailstorm is coming. Now you can get that weather data in line with your device data as part of the device context in IoT Platform.
Predict UV index with IBM Watson IoT and weather data
This recipe showcases how we can make use of the Insights of the Weather service, available on IBM Bluemix, to determine the UV index on the GPS events published by IoT devices, on the IBM Watson IoT Platform. Try the recipe. Or discover more recipes using weather APIs here.
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