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A comprehensive global study reveals that short-term weather predictions tend to be less reliable in lower-income nations, despite significant advancements observed globally since the mid-1980s. Researchers from Goethe University Frankfurt and Columbia University analyzed ECMWF forecasts spanning from 1985 to 2020, concentrating on temperature while also evaluating precipitation and surface pressure levels. Geographic factors are responsible for approximately two-thirds of the worldwide discrepancies in forecast precision. Furthermore, the research indicated that around 76% of affluent nations provide official forecasts for their capital cities to the WMO, in contrast to merely 19% of less affluent nations. Enhancing observation networks and forecasting capabilities may assist in bridging this disparity.

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00:00Weather forecasts are not equally accurate around the world.
00:03A new global study finds a clear gap between richer and poorer countries.
00:08Researchers analyzed weather forecasts from 1985 through 2020.
00:12They focused mainly on short-term temperature predictions.
00:15The findings showed forecasts were generally more accurate in higher-income countries.
00:20In fact, a seven-day forecast in a high-income country was, on average,
00:25more accurate than a one-day forecast in a low-income country.
00:28Geography explains roughly two-thirds of global differences in accuracy.
00:33But weather observation networks also play an important role.
00:36Lower-income countries often have fewer weather stations and radio sondis.
00:41Forecasting services may also lack staff, data, and computing resources.
00:46About 76% of high-income countries submit official capital forecasts to the WMO.
00:51That figure falls to just 19% among low-income countries.
00:54Researchers say stronger observation networks and better forecasting capacity
00:59could improve weather information in underserved regions.
01:03They also say international cooperation could benefit forecasts worldwide.
01:07As extreme weather increases, accurate forecasts could become even more important.
01:13This video contains stock footage and content created or enhanced using AI-assisted tools.
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