Earth Networks Partners with WeatherSTEM to Produce Weather-Related STEM Curricula

Earth Networks, a Maryland-based weather data company, is partnering with WeatherSTEM to deliver to schools STEM curricula built around hyperlocal weather data.

WeatherSTEM powered by Earth Networks combines real-time observations from Earth Networks’ global network of climate, lightning and greenhouse gas monitoring sensors with the WeatherSTEM safety alert platform to provide schools with a next-generation weather data-based STEM curricula, while protecting students against dangerous weather events.

WeatherSTEM is a network of weather stations, collected and distributed atmospheric data and STEM-based curricula for grades K–12. WeatherSTEM is also a web-based instructional program that enables K–12 schools to use live weather and environmental data to improve student achievement across science, technology, math and geography, according to a news release.

“With WeatherSTEM onsite at our school, teachers can snowball student-driven learning in the classroom with real-world data that impacts students’ everyday lives,” said Amy Monahan, K–12 STEM specialist at Volusia County Schools in Florida, in a statement. “Students are in charge of what they want to learn. They’re not given a dataset. They’re creating the dataset.”

Here are some components to the Earth Networks-WeatherSTEM partnership, as they relate to K–12 schools:

  • Customized, branded weather stations that measure real-time conditions and include access to an online education portal networked to 12,000 other weather stations at organizations across the United States;
  • Innovative online, visual STEM curricula for K–12 schools that are built around live data and information that come directly from the weather stations;
  • Outdoor alerting safety package that provides customizable notifications and alerts for all types of severe weather events including lightning and heat stress, keeping student athletes, spectators and visitors safe; and
  • Social media integration to foster community building and engagement, as every WeatherSTEM weather station has its own social media presence and can send out automated information on Twitter or Facebook about the weather at the school/organization on a set schedule.

“Early exposure to weather and science builds a strong foundation for future educational opportunities and careers in STEM fields,” said Edward Mansouri, CEO of WeatherSTEM, in a statement.

For more information about the partnership, visit this site.

About the Author

Richard Chang is associate editor of THE Journal. He can be reached at [email protected].

Featured

  • Teacher Holding Tablet Computer Explains Lesson to Young Children

    How to Streamline Procurement and Reduce Compliance Headaches

    Learn key areas to simplify K-12 purchasing and help teams manage limited budgets more effectively.

  • Red alert symbols and email icons floating in a dark digital space

    Report: Cyber Attackers Are Fully Embracing AI

    According to Google Cloud's 2026 Cybersecurity Forecast, AI will become standard for both cyber attackers and defenders, with threats expanding to virtualization systems, blockchain networks, and nation-state operations.

  • magnifying glass highlighting a human profile silhouette, set over a collage of framed icons including landscapes, charts, and education symbols

    New AI Detector Identifies AI-Generated Multimedia Content

    Amazon Web Services and DeepBrain AI have launched AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.

  • cybersecurity book with a shield and padlock

    Proposed NIST Cybersecurity Guidelines Aim to Safeguard AI Systems

    The National Institute of Standards and Technology has announced plans to issue a new set of cybersecurity guidelines aimed at safeguarding artificial intelligence systems, citing rising concerns over risks tied to generative models, predictive analytics, and autonomous agents.