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What's A Weather Forecast Worth?

2024/12/14
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Keith Sider
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Mary Glackin
美国气象学会前总统,曾任NOAA运营副部长和The Weather Company高级副总裁,多次获得美国总统级别奖励和其他荣誉。
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Renato Molina
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Adrienne Ma & Waylon Wong: 近年来,天气预报的准确性显著提高,成为一个数十亿美元的产业。但同时也引发了政府和私营公司之间关于天气数据控制权和价格的争议,涉及数据获取、价格、以及政府和私营部门在天气预报中的角色。 Keith Sider: 过去几十年里,私营部门参与天气预报的规模急剧扩大,从小型公司到大型科技公司,都参与其中。这导致政府和私营公司之间出现摩擦,主要体现在数据获取和价格方面。美国国家气象局致力于免费向公众提供高质量数据,但这与一些依靠销售专业天气预报服务的私营公司利益相冲突。私营公司开始发射自己的气象卫星并销售数据,使得政府部门也成为其客户,这使得政府在天气数据供应和需求方面角色模糊,引发新的争议。 Mary Glackin: 航空业是政府和私营部门在天气预报方面合作的成功案例,双方可以共享信息,共同提高预报准确性,例如在航班延误或取消的决策中。 Renato Molina: 准确的天气预报是公共产品,因为它具有非竞争性和非排他性,对所有人都有益,并且能够产生巨大的社会价值,例如减少飓风造成的损失。准确的飓风预报能够促使人们采取有效的防护措施,从而减少损失,例如及时的疏散能够避免更大的灾难。 政府的角色:政府部门,如美国国家气象局,是天气数据的主要来源,其职责是保护生命和财产,并向所有人免费提供天气数据。然而,随着私营部门的扩张,政府的角色变得更加复杂,既是数据的提供者,也是消费者。 私营部门的角色:私营公司利用政府提供的数据,结合自身技术,提供更专业、更细致的天气预报服务,并向特定客户收费。这引发了关于数据获取、价格以及政府与私营部门合作方式的争议。 合作的可能性:政府和私营部门可以在天气预报领域开展合作,例如航空业的成功案例表明,双方共享信息可以提高预报准确性,并更好地服务于公众。 公共产品的属性:准确的天气预报具有公共产品的属性,因为它对所有人都有益,并且一个人的使用不会影响其他人的使用。因此,政府应该确保所有人能够平等地获得准确的天气预报信息。

Deep Dive

Key Insights

Why has weather forecasting become a crowded industry?

The rise of the Internet and big tech has led to increased competition in weather forecasting, with companies like Microsoft and Google entering the market to produce more sophisticated and precise forecasts.

What is the role of the National Weather Service in the U.S.?

The National Weather Service, part of NOAA, collects data and makes forecasts to protect life and property, providing weather data universally as a public service.

How do private companies use government weather data?

Private companies take data from NOAA and the National Weather Service, apply proprietary computer models, and sell specialized data and hyper-local forecasts to customers dependent on weather, such as utility companies or airlines.

What are the tensions between the government and private weather companies?

Tensions arise from the National Weather Service's ethos of providing data for free, which competes with private companies selling specialized forecasts, and the flow of weather data, as private companies now launch satellites and sell data to NOAA.

How has the government's role in weather data changed?

The government now acts as both a supplier and a customer of weather data, buying data from private companies, which complicates the traditional model of providing data for free.

What is an example of government and private sector collaboration in weather forecasting?

The aviation industry serves as a model, with private and federal forecasters collaborating to advise airlines on flight cancellations and delays during weather events.

What is the economic concept of a public good, and how does it apply to weather forecasts?

A public good is something that can be used by multiple people without diminishing and is available to everyone. Accurate weather forecasts, such as hurricane predictions, meet this criteria as they benefit society collectively.

What is the estimated value of improved hurricane forecasts?

Improved hurricane forecasts have led to $7 billion in avoided damages and costs since 2009, as they enable timely evacuations and protective measures.

Shownotes Transcript

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Learn more at stjude.org slash dafgift. You're listening to Shortwave from NPR. Hey, Shortwavers. Regina Barber here with an extra bonus episode for you this weekend. We wanted to give you a chance to hear something from our friends over at The Indicator, which is NPR's daily economics podcast. And this particular episode is about something science-y we think you'd be into. So thanks for checking it out. And here are your Indicator hosts, Weilin Wong and Adrienne Ma.

Adrian Ma, what is an app on your phone that you use every single day? Like besides the text messaging app? Yeah, or like Candy Crush or whatever. I would have to say the weather app. It's like the first thing that I open in the morning.

Me too. Now, here's another question. Do you ever think about where the weather forecast on your phone comes from? You know, until very, very recently, I had not thought about this at all. I just assumed like somebody...

was beaming it to me from a satellite somewhere. Yeah, I never really thought about this either until I started using a specific weather app on my phone. The app lets me toggle between almost a dozen forecasting sources. And confession, sometimes if I'm hoping for a particular forecast, I'll just shop around in the app until I get the forecast that I want. You're like, oh, it's going to rain today. Or is it? Or is it? Yeah.

I guess this just goes to show how much access we have to weather information these days.

Weather forecasting has gotten a lot more accurate in the last few decades. It's a multibillion-dollar industry. Companies from tech startups to huge corporations are competing to produce more sophisticated and precise forecasts. This kind of scientific arms race is bringing to the fore long-simmering tensions in the meteorology community. The tension is over how weather data should flow between the government and private companies and at what price.

This is The Indicator from Planet Money. I'm Waylon Wong. And I'm Adrian Ma. Today on the show, how much is an accurate weather forecast worth? Who should pay for it and who should benefit?

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Learn about this comprehensive approach to planning at edwardjones.com slash findyourrich. Edward Jones, member SIPC. The federal government has officially been in the weather business since 1870. That's when Congress created a National Weather Bureau to collect data and make forecasts.

Today, that office is known as the National Weather Service. It's part of an agency called the National Oceanic and Atmospheric Administration. Commonly referred to as NOAA. And the National Weather Service is the main source of weather data, forecasts, and warnings in the U.S.,

Its job is to protect life and property. And that means making weather data universally available to everyone as a public service. So like when you see the local weather forecast on the news, for example, there's a good chance that the underlying data comes from the government. And then there are lots of businesses that are taking that data, slicing and dicing it and selling it onward.

Keith Sider is a professor of climate science at the College of the Holy Cross, and he's also a senior policy advisor at the American Meteorological Society. Twenty years ago, there were the few government agencies that worked in weather, and there were a fairly well-known list of private sector companies. Any of us could sit down with a piece of paper and write down the 20 main companies. And now that the private sector is vast, and it goes everything from very, very tiny one- or two-person companies to

up to companies like Microsoft and Google. Private companies like these take data from NOAA and the National Weather Service. They put their own spin on it, say, by applying proprietary computer models. They can then sell specialized data and hyper-local forecasts to customers that are highly dependent on the weather. Yeah, for example, think of a utility company that needs to monitor ice buildup on power lines during a winter storm. Or an airline that wants to reroute a flight to avoid turbulence.

or even a concert promoter that gets an alert to evacuate a stadium during a storm. Keith says there's been a couple of sources of friction between the government and these private weather companies in the last few decades. One source of friction has to do with the overall ethos of the National Weather Service. Keith says if the agency could provide better data to the public for free, it would do just that. Right now, on your phone, you can pull up and look at a radar image in real time.

In the 1980s or 1990s, we didn't have the cell phones to do that. But as, you know, websites became available, the National Weather Service said, well, you know, we can actually make this data available to everybody. But Keith says this stance didn't sit well with some private companies, you know, the ones making a living from selling specialized forecasts.

If customers could get sophisticated data from the government for free, maybe they wouldn't want to pay for that kind of information anymore. So that is one source of tension in the industry. Another one, Keith says, has to do with the flow of weather data.

Remember when we said the government is a foundational data source? That's because historically, NOAA and NASA paid for the big weather satellites that collect that information. Well, these days, Keith says private companies are launching their own satellites and selling the data. And NOAA and the National Weather Service have become customers.

In some cases, Keith says, the agencies are buying data from these private companies because it's cheaper than operating those satellites themselves. But then you've got a little bit of attention because the government typically provides all of the data it has for free.

And if they're buying data from a commercial satellite, they can't just turn around and give it all for free or else that commercial company only has one customer, which is NOAA. The government's new role as both a supplier and a customer of weather data has blurred the lines between public agencies and private sector businesses. But there are examples of the two sides working together.

Mary Glackin has been an official at NOAA and an executive in IBM's weather business. She says the aviation industry could be a model. If we know there's a weather event happening at an airport, what you'd really like to be doing is advising the airline what flights to cancel, which ones to delay. When I was at IBM, we would have forecasters say,

that would be on calls with federal forecasters a couple times a day before an official forecast came out. So that works well.

fairly well. Over the years, some policymakers have tried to limit the government's role in weather forecasting. This surfaced most recently in Project 2025, a policy blueprint from conservative think tank the Heritage Foundation. That document argues that some of NOAA's functions could be carried out commercially at lower cost and higher quality. But moving to a more privatized or market-based model for weather forecasts...

It raises questions about whether potentially life-saving information would only be available to people with resources. Yeah, like some municipalities supplement government forecasts with information from private companies that they pay for. But then it's like, what about towns that can't afford to do that? This is kind of a wild thing to think about when it comes to potentially life-saving information, right? Like one town...

has different information than another. Exactly. And in economics, we talk about this thing called a public good. A public good is something that can be used simultaneously by multiple people without diminishing. And it's something that's available to everyone. Renato Molina is a professor of environmental and resource economics at the University of Miami. He says an accurate weather forecast definitely meets the criteria for a public good.

Because, I mean, if we follow the definition, everyone benefits, right? You consuming a good forecast for a hurricane, for example, does not diminish your

You know, like my ability to consume the same good forecast and we all benefit. We're all better off. And this benefit isn't just abstract for Renato. He and a colleague crunched the numbers around this federal program that's aimed at improving hurricane forecasts. They estimate that it led to $7 billion in avoided damages and costs since 2009. That's because when weather forecasts are more accurate, local governments can request federal money for protective measures in advance of a hurricane.

They can also issue timely evacuation mandates. The hurricane forecast has generated immense value for society.

If you get an evacuation mandate, then you're going to take this seriously, meaning you're going to protect your house, right? You're going to pull down the shutters or, you know, like, board your house. If you might be exposed to some flooding, that might, you know, like, reduce the overall damages that you're exposed to if that happens. In the case of Hurricane Milton this year, accurate forecasts meant that many people in Florida had ample warning to prepare.

The alert enabled one of the largest evacuations in state history. And that might have prevented the devastation from being even worse. This episode was produced by Julia Ritchie with engineering by Kweisi Lee. It was fact-checked by Sarah Juarez and edited by Patty Hirsch. Kicking Cannon is our show's editor and The Indicator is a production of NPR.

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