Heavy water's atmospheric fingerprints boost weather forecasts for up to five days
Weather forecasts rely on many different kinds of data, including temperature, humidity and wind. For the first time, researchers, including those at the University of Tokyo, have demonstrated that a long-theorized improvement to weather models—adding data on water isotopes in the atmosphere—does work. They showed that incorporating satellite measurements of water vapor isotopes into weather models improves forecasts of atmospheric conditions for up to five days, including predictions of heavy…
Phys.org
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