www.tomorrow.io Open in urlscan Pro
2606:4700::6812:1d2a  Public Scan

Submitted URL: https://email.tomorrow.io/e3t/Ctc/RF+113/cr-zm04/VXhhs81bLCQbW4LXbWJ6QZrzKW1HN78y52ChDgMhPPSM3lYMRW8wLKSR6lZ3lQVqJC0k9m3fL...
Effective URL: https://www.tomorrow.io/blog/weather-satellite-constellation-sends-first-image-as-tomorrow-io-expands/?utm_medium=email&...
Submission: On August 24 via api from US — Scanned from DE

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WEATHER SATELLITE CONSTELLATION SENDS FIRST IMAGE AS TOMORROW.IO EXPANDS



This article was originally published in Axios in August 2023

A new weather satellite constellation has sent back its first images.

Why it matters: Climate intelligence company Tomorrow.io is aiming to
drastically expand the data available over the world’s data gaps, including the
oceans and many developing countries.

 * Tomorrow.io plans to use the satellite constellation, which now numbers two
   but may total more than 30, to improve its weather forecast models, and help
   other countries improve their warning systems.

 * The units are the first private-sector satellite-based weather radars to be
   deployed. Until now, the only orbiting radars able to scan clouds to see the
   precipitation within them, have been large and expensive spacecraft developed
   by NASA and JAXA (Japan’s space agency).

 



 

The big picture: Currently, meteorologists have little data about the inner
workings of most storms over the ocean, and in many developing countries that
don’t have modern weather observation and warning systems.

 * The company is betting that satellites that can peer within the clouds to
   detect precipitation rates, cloud structure and other parameters have the
   potential to drastically improve weather forecasts.

 

What they’re saying: “In an ever-changing climate, having the right information
is not just an advantage today, it’s a necessity,” Itai Zlotnik, a co-founder
and chief customer officer at Tomorrow.io, told Axios in an interview.

 * “We’re doing an MRI scan through the storm,” said Dan Slagen, Tomorrow.io’s
   CMO, in an interview.

 

Zoom in: The six-year-old Boston-based company specializes in developing
hyperlocal weather and climate decision-making tools for clients such as JetBlue
Airlines and Uber. It may seem like an unlikely player in the high risk,
uncertain reward business of building, deploying and operating weather
satellites.

 * The company has about 50 people working on the project now, said John
   Springmann, a space industry veteran who leads the company’s satellite
   development.
 * He says the network is going to “change the paradigm” of weather forecasting
   and position the company to be a vertically integrated weather player, owning
   and operating its observing network, which feeds data into its proprietary
   computer models that are used to deliver insights to clients.

 

Between the lines: Tomorrow.io is working with federal agencies, including NASA
and NOAA, to be a data provider.

 * Through its nonprofit arm, it is also working with the World Meteorological
   Organization, part of an initiative to dramatically expand the number of
   countries that have access to sophisticated early warning systems for extreme
   weather and climate events.

 





Be smart: The satellites’ usefulness can only be fully evaluated once they are
fully deployed and integrated into Tomorrow.io’s global forecast models, and
potentially, models from U.S. and European governments.

 

Yes, but: Any company that is aggressively breaking new ground, as Tomorrow.io
is, has to overcome some degree of skepticism about its capabilities. It still
has significant challenges to overcome, including piping in the satellite data
in a way that improves forecast accuracy.

 

What’s next: While the satellites are a core focus of the firm, rapid advances
in artificial intelligence is also pushing its scientists to innovate.

 * According to Luke Peffers, chief scientific officer at Tomorrow.io, its
   models already use AI in its physics-based weather models to speed them up,
   and help translate data into useful insights for customers.
 * He is not sold on companies trying to replace physics-based models with AI
   solutions, however, calling them “toy models.” That may change in the next
   few years as they demonstrated their capabilities, though, he noted.
 * Tomorrow.io has a unique opportunity with the satellites, however, since
   machine learning can be used to train its models on its own data.

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