Sign In or Create an Account.

By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy

Technology

The National Weather Service’s Smart Experiment with AI

By using artificial intelligence to quickly translate weather forecasts and warnings, the agency could save lives.

A person checking a phone.
Heatmap Illustration/Getty Images

Yesterday, the National Weather Service (NWS) announced that it, like seemingly everyone else in the world, is experimenting with AI. Specifically, it’s using AI to translate its weather forecasts and warnings into Spanish and Chinese, with a plan to expand into more languages in the future, starting with Samoan and Vietnamese.

I am cautiously optimistic about this. It’s well-known that climate change will disproportionately impact communities of color, many of which consist of immigrants whose first language is not English. The NWS has been manually translating its forecasts into Spanish for 30 years, but this program represents an expansion of access to information that could very likely save lives as climate impacts worsen.

This isn’t the first time someone has used AI tools to translate climate information; as Anna Turns wrote for The Guardian in June, the group Climate Cardinals has been using AI to translate climate reports into more than 100 languages since 2020. The difference in the NWS’ approach is how its AI models work: While Climate Cardinals primarily relies on tools developed by Google and OpenAI, the NWS teamed up with a company called Lilt to essentially train a bespoke language model on weather terminology.

The press release, of course, talks about the AI project in the excited voice all press releases are written in. The AI model, a spokesperson told me, reduced translation times from an hour to 10 minutes, allowing Spanish-speaking forecasters to spend more time on forecasting rather than translating. But as with any AI project, there’s always the question of accuracy. It’s been well-documented that AI translation tools are far from perfect, and spotting errors in the translations will no doubt become more difficult as the NWS expands the pilot into languages for which it does not have any bilingual forecasters.

I imagine that’s why the NWS is taking things slow to begin with. They’ve launched an experimental language translation website and are asking for public comment through September 29 of next year — a hefty testing period of the type that I dearly wish we’d see elsewhere. If you speak any of the languages currently in testing, maybe go check it out; the press release includes links to feedback forms for each language in testing.

Blue

You’re out of free articles.

Subscribe today to experience Heatmap’s expert analysis 
of climate change, clean energy, and sustainability.
To continue reading
Create a free account or sign in to unlock more free articles.
or
Please enter an email address
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Climate

Where to Donate to Help Fight Climate Change

Giving Green has six suggestions for you.

Putting money into Earth.
Heatmap Illustration/Getty Images

If you want to donate to fight climate change, what’s the best way to spend your money?

For the past five years, Giving Green has been trying to find out. Each year, the nonprofit recommends a set of nonprofits that are trying to solve the climate problem effectively and efficiently, and get the world closer to decarbonization.

Keep reading...Show less
Green
Electric Vehicles

AM Briefing: More Money for Rivian

On conditional loans, China’s emissions, and primary care clinics

Rivian’s $6.6 Billion Windfall
Heatmap Illustration/Getty Images

Current conditions: Storm Conall brought more heavy rain and flooding to sodden England • Flash floods killed at least 20 people on Indonesia’s Sumatra island • The northern Plains will be hit with an “arctic outbreak” on Thanksgiving day.

THE TOP FIVE

1. Rivian gets conditional DOE loan for $6.6 billion

The Department of Energy yesterday agreed to loan Rivian $6.6 billion to resume construction on its factory in Georgia, where the company will produce the upcoming R2 and R3 electric pickups. The loan is conditional, meaning it hasn’t been finalized just yet. “If finalized, the loan will support construction of a 9 million square foot facility to manufacture up to 400,000 mass-market electric sport utility vehicles and crossover vehicles,” the DOE said in a statement. “At full capacity, the EVs manufactured at the facility are expected to yield an annual fuel consumption savings of approximately 146 million gallons of petroleum.” Whether the loan will be completed before the incoming Trump administration takes over – or whether Trump would try to axe the loan – remains to be seen. The Biden administration set a goal for zero-emission vehicles to make up half of new U.S. car sales by 2030.

Keep reading...Show less
Yellow
Podcast

How Trump Could Dent EVs in America

Rob talks Ford and GM with BloombergNEF’s Corey Cantor. Plus, Rob and Jesse dig into the Trump transition.

Donald Trump.
Heatmap Illustration/Getty Images

It’s been a news-filled few weeks — so it’s time for a roundup. On this week’s episode of Shift Key, Rob and Jesse talk about what Trump’s cabinet selections might mean for his climate policy and whether permitting reform could still happen. Then Rob chats with Corey Cantor, senior EV analyst at BloombergNEF, about promising Q3 sales for U.S. automakers, General Motors’ turnaround, and how much the Trump administration might dent America’s EV uptake.

Shift Key is hosted by Robinson Meyer, the founding executive editor of Heatmap, and Jesse Jenkins, a professor of energy systems engineering at Princeton University.

Keep reading...Show less
Yellow