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Dirty air cools the climate more than expected

Dense haze over Kathmandu, Nepal. Researchers from Leipzig are investigating how smog affects the climate in megacities.
Smog over Kathmandu: In megacities like this one, air particles absorb more water than previously thought - with consequences for the climate. © Ajit Ahlawat, TU Delft
From: Wissensland
Tiny air particles over Delhi or Cairo absorb more water than previously thought and may therefore cool their regions more strongly. Researchers at Leibniz Institute for Tropospheric Research (TROPOS) in Leipzig used artificial intelligence to analyze global measurement data and show that climate models for polluted cities need to be improved.

In Delhi, the sun sometimes disappears behind a brown haze. This smog is not only unhealthy, it also affects the climate. An international research team led by the Leibniz Institute for Tropospheric Research (TROPOS) in Leipzig has now discovered why previous climate models for heavily polluted cities only inaccurately depict important processes.

The key lies in tiny particles known as aerosols. These are the finest particles and droplets in the air, created for example by car exhaust fumes, industry or desert dust. They influence the climate in two ways: they reflect sunlight and at the same time act as nuclei for cloud formation. Scientists call the amount of water a particle can absorb hygroscopicity. The higher it is, the more the particles grow and the greater their cooling effect on the atmosphere can be.

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Megacities may warm up more slowly than expected

Current climate models often assume that particles in the air have a uniform composition. But this is not true, especially in large cities. There, fresh emissions mix with older aerosols - and this changes their behavior considerably.

"In heavily polluted regions such as megacities in Egypt or India, the particles probably grow faster and absorb more water. This could explain why these regions warm up less quickly," explains Ajit Ahlawat from TU Delft. A side effect: more water absorption often also means denser smog. This has consequences for the health of the people living there.

Artificial intelligence helps with calculations

The team used machine learning to better understand this. This is a form of artificial intelligence that recognizes patterns in large amounts of data. The researchers analyzed measurements from ten locations on four continents, including Beijing, Cairo, Delhi, Paris and the research vessel Polarstern in the Atlantic. Two measuring stations in Germany, Goldlauter and Melpitz, were also included in the analysis.

The result significantly improves the basis for climate models. "Our results underline the importance of regional aerosol parameterizations as a decisive step towards reducing uncertainties in the estimation of direct radiative forcing in next-generation climate models," emphasizes Mira Pöhlker from TROPOS and the University of Leipzig. She also explains that the new calculations could influence how much solar energy the Earth stores regionally or reflects back into space. Even small changes are climatically relevant worldwide.

The research team now hopes that the new algorithm will be integrated into global climate models in the future. This could make more precise predictions about how aerosols influence climate and cloud formation possible.


More information on this can be found here.

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