Skip to main content
  1. Home
  2. Emerging Tech
  3. Smart Home
  4. Web
  5. Legacy Archives

Can cellphones tell you how wet it is outside? (Spoiler alert: Yes)

Add as a preferred source on Google

cell-towersWith the advent of smartphones and the all-important apps that they run, you’d be forgiven for feeling that the sheer possibilities available to us can seem overwhelming at times. Well, here’s something else that cellphones can do that’s a little out of the ordinary: Apparently, they – or, rather, cellular towers – can be used to help measure the rainfall in the immediate area, allowing meteorologists to get a more accurate idea of just how wet their country is. At least, that’s what Dutch researchers have done.

According to a report in New Scientist, a team of scientists from the Netherlands led by Aart Overeem from the Royal Netherlands Meteorological Institute measured rainfall using information provided by T-Mobile. They do this by noting the way raindrops can weaken the radio waves cell towers use to transmit information to each other. Cell towers in the Netherlands are spaced around three kilometers (1.8 miles) apart and transmit a constant signal between each other, meaning that the traditional signal degradation tends to be uniform. Any deviation in signal strength outside of the norm is easily noticeable by someone closely tracking the data.

Recommended Videos

Overeem’s team studied signals sent between towers in a four month period between June and September 2011, with the signal strength measured every 15 minutes across the approximately 8,000 towers in the Netherlands. To put that figure in some context, the traditional rain gauges in the country measure rainfall every 10 minutes, but there are only 32 of them throughout the entire country. In other words, the information being offered is far more accurate, if slightly slower than the previous method. The result of this analysis were supported by measurements from the traditional gauges for the same time period, and formed the basis of something called a “rainfall map” of the country for the period. This gave a clearer picture of not only how much rainfall there was during those four months across the entire country, but where the rainfall had been centered.

There are real world applications for this type of technology beyond simply checking whether or not one area of Holland is wetter than another; the team from the Royal Netherlands Meteorological Institute say that they are hopeful that some extrapolation of this technique could be useful in improving flood forecasts or providing real-time information about weather conditions in locations where traditional weather-monitoring equipment is unavailable but cell towers are prevalent (third world countries, for example).

That hope is mirrored by Mary Lynn Baeck, a hydrometeorologist at Princeton University, who told New Scientist that she believes Overeem’s approach “has the potential to give good quantitative rainfall estimates for real-time hazards forecasting, as well as regional and global climate model analysis in regions of the world where the impact could be great.”

Graeme McMillan
Former Digital Trends Contributor
A transplant from the west coast of Scotland to the west coast of America, Graeme is a freelance writer with a taste for pop…
A new startup wants to fix the military’s working-dog shortage with cloning and gene editing
Promising pitch, plenty of unanswered questions about the dogs.
a new startup wants to fix the militarys working dog shortage with cloning and gene editing warhound featured image

Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.

Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).

Read more
AI can describe a picture, but it still struggles to understand blind users
A University of Maryland study finds that Be My AI often buries useful answers in lengthy descriptions, leaving blind users to work harder to get the information they need.
Blind Man using walking stick

AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.

The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.

Read more
Etsy cracks down on AI slop listings. Everyone else needs to take note.
Now every platform must decide what counts as handmade.
Etsy featured image

Platforms tend to shrug off AI clutter until it threatens what they sell. For Etsy, that thing is trust in the maker.

To protect that, Etsy has banned AI-generated how-to guides and listings made entirely by bots. Most sellers must show at least one unretouched photo of the item (via Etsy Seller Handbook).

Read more