Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Scientists have developed a way to predict severe heat waves months before they happen

Add as a preferred source on Google

Unexpected heat waves may be a thing of the past thanks to new prediction technology that can provide a warning for a heat wave up to two months in advance, reports the New York Times. This improved prediction technology doesn’t look at weather patterns, air temperature or similar weather metrics. Instead, it relies on an unusual data source — North Pacific ocean temperature.

In a study published this week in Nature Geoscience journal, researchers from National Center for Atmospheric Research explain how ocean surface temperatures may correlate with a heat wave. Researchers began by examining climate data from the Eastern United States between the years of 1982 and 2015. They then identified sweltering summer days, defined as being 12 degrees hotter than average summer temperatures, and compared this data with ocean surface temperatures in the North Pacific during these same warm periods.

Recommended Videos

It quickly became apparent that a rise in ocean surface temperature was associated with a future heat wave. “The pattern popped out at us really clearly,” said postdoctoral researcher and lead author Karen A. McKinnon of the National Center for Atmospheric Research. Not only was this pattern very easy to spot, but it also was observed “up to seven weeks before” the heat wave materialized on the East coast. Researchers are not sure how a rise in Pacific ocean surface temperature can influence weather on the East Coast, but some climate scientists believe it has to do with the interaction between the ocean water and the jet stream.

With current models, heat waves can only be predicted reliably on a short-term basis, providing just a few days of notice before they occur. Existing long-term weather probability tools do not help for heat waves, as they provide only overall weather trends and do not include temperature extremes. The ability to predict heat waves this far in advance would be extremely useful for farmers, city officials and emergency planners who must deal with heat-associated crop losses, increased energy requirements and heat-related illness.

Kelly Hodgkins
Kelly's been writing online for ten years, working at Gizmodo, TUAW, and BGR among others. Living near the White Mountains of…
The AI game-dev boom has a dark side: fewer jobs for the people starting out
Solo creators are thriving with tools like Claude Code and Copilot, but entry-level game roles are disappearing.
Man playing a video game on a desktop with glowing red and blue lights

AI is making it easier than ever for a single person to build a game. That sounds like a win for creativity, and in many ways, it absolutely is. But there is a catch. As generative AI tools help solo developers and small studios do more with fewer people, the same shift is making life tougher for writers, artists, concept creators, and junior programmers trying to break into the gaming industry.

AI is giving solo developers superpowers

Read more
A new AI model wants self-driving cars to think before they swerve
Forget guessing games, this self-driving AI actually shows its work.
Self driving car

Self-driving cars have gotten pretty good at driving. The harder problem is teaching them to drive safely in situations nobody planned for. We have heard horror stories of self-driving cars, behaving erratically in emergency situations, often times delaying first responders from reaching the scene.

A team at Seoul National University, led by professor Jun Won Choi from the Department of Electrical and Computer Engineering, thinks they have cracked part of that puzzle with a new AI model called SafeDrive. The research was recently selected as a highlight paper at CVPR 2026, a distinction that goes only to roughly 3% of all submissions.

Read more
An AirPods-sized mini lab could help catch disease markers in minutes
Meet VPodDuo, an AirPods-sized molecular testing gadget
VPodDuo Mini Medical Device

Home testing could eventually become a lot more convenient. Researchs at the at the University of Illinois Urbana-Champaign has developed the VPodDuo, a pocket-sized fluorescence reader designed to measure sensitive molecular tests outside a conventional laboratory.

Its housing is roughly comparable in size and shape to an AirPods charging case, while Bluetooth connectivity sends results directly to a smartphone. Meaning, you might not have to wait in line anymore.

Read more