What's in the future for weather forecasting?

私の名前はハリー・エンテンです, and I’m addicted to weather forecasting.

In my teens, I went to Penn State Weather Camp, where I visited the National Weather Service and AccuWeather, and spent a week diving into the art and science of weather forecasting. 同じ頃, I got featured in the New York Daily News about snow measurements.
I didn’t end up going into meteorology because I hate calculus. My addiction to weather forecasting and particularly snow remains, しかしながら. (There’s a reason I’m not moving to Washington, D.C., as it averages less than 14 inches of snow per season.)
    しかしながら, I’m not a person who pays a lot of attention day to day to climate change.
      And as I learned in the latest episode of my podcast, “Margins of Error,” having this disconnect between weather and climate change is surprisingly common.
        A 2018 Pew Research Center survey asked people what was the most important topic covered on their local news broadcast. Weather, far and away, was No. 1 で 70%.
        比較すると, A 2019 Washington Post poll 見つかった 10% say they often talk with their friends about global warming.
          This split does make some sense. But as we discuss on the podcast, we can’t really separate them as much as we used to do.
          Weather forecasts are an immediate concern to pretty much everyone. If a forecast says it’s going to rain later today, you’re probably going to take an umbrella with you. 気候変動 refers to long-term changes.
           An aerial view of devastation after tornadoes struck the Bowling Green, ケンタッキー, area in December.

          それでも, for something that interests so many, there are a lot of misconceptions about weather forecasts.
          I cover a lot of what goes into the forecasts in the podcast (so tune in), but one big misconception is how accurate they are. While people love to rag on meteorologists who get it wrong, それが判明, forecasts are better than they’ve ever been.
          They’ve gotten a lot more accurate.
          As New York Metro Weather’s John Homenuk told me, がある “amazing minds working on producing these weather models. They’ve gotten so detailed. I keep mentioning (それ) we can predict individual thunderstorms, things like that. (アン) incredible technology boom has helped us a ton.
          One quick way to know forecasts have gotten better is to examine hurricanes and see how the error rate in terms of nautical miles for these storms has declined.
          ザ・ forecast error rate has dropped by anywhere from about 70% (for a 24-hour forecast) 約に 90% (for a 72-hour forecast) 以来 1970. To put that in perspective, the average error for a 72-hour forecast was about 450 miles off in 1970. 今日, it’s about 50 miles off.
          That improved accuracy has saved countless lives.
          Put another way, your local meteorologist has gotten really goodthanks to weather models and a better understanding of weather patterns.
          とはいえ, we’ll probably never achieve perfect accuracy.
          A big problem is the butterfly effect. As Homenuk pointed out to me, “The big storms are still very complex and very difficult to figure out. … The joke sometimes in the thunderstorm community is a farmer can sneeze in Oklahoma and change the whole setup.
          Another potential problem is climate change. While climate and weather are different, the former may be having an impact on near-term forecasting accuracy.
          I spoke with Aditi Sheshadri, lead researcher of a 2021 study at Stanford University that explored how warmer Earth temperatures will affect weather prediction. Researchers did some modeling revolving around how different warming patterns could affect weather forecast accuracy in this and other parts of the world.
          What they found was apretty systematic relationshipbetween temperature changes and how far out you can accurately predict the weather. Sheshadri noted that we could make more accurate long-term forecastsif the Earth was very much cooler.As the Earth warms, “it’s the other way around, and this window of accurate weather prediction narrows.
          According to the Stanford study, you lose a day of accurate precipitation forecasts for every rise of 3 degrees in Celsius (5.4 degrees in Fahrenheit).
            It may not seem like much, but according to data from the National Atmospheric and Oceanic Administration, Earth has warmed by .08 摂氏 (0.14 華氏度) every decade since 1880. 今では, Earth is about 1 degree Celsius (1.8 華氏度) warmer than it was then. The World Meteorological Association warns that the Earth’s temperature will continue to rise over the next few years.
            これが結論です: Those who love weather forecasting but don’t discuss climate change should understand the latter’s impact. Weather forecasting may not be as accurate as it could be because of climate change.

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