• Person wearing a grey checkered coat and black hat with bear ears walks through a wet, colorful urban street holding an inside-out black umbrella on a windy day.

    How machine learning can decode wind patterns in our cities

    Imagine predicting the wind flow around you with precision – perhaps to find a refreshing breeze on a hot day or a sheltered spot when it’s chilly. Until now, such predictions would require solving complex physical models on supercomputers – far too demanding for personal devices like phones, ipads and laptops to handle. Researchers at

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  • Aerial view of a dry, brown agricultural field marked with circular patterns around scattered utility poles, likely created by farming machinery navigating around the obstacles.

    Local extremes, global impacts: Attribution for Loss & Damage

    In recent years, the world has been grappling with the growing impacts of climate change, from devastating heatwaves to floods and droughts. Behind the scenes, work has been continuing to determine how we can fairly and accurately support affected communities and countries via the mechanisms of Loss & Damage and impact attribution.  A significant outcome

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  • A smiling person wearing a red jacket and black beanie stands on a ship deck, with snowy Antarctic mountains and the ocean in the background under a bright, partly cloudy sky.

    Negin Nazarian’s Journey to Antarctica with Homeward Bound

    In this special blog post, read about 21st Century Weather Chief Investigator Negin Nazarian’s inspiring voyage to Antarctica as part the Homeward Bound program. Why was I there? I promised Antarctica reflections and penguin photos, so here we go!  First and foremost: why was I there? The answer is to take part in the most

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  • Seasons & regions key to linking El Niño, La Niña & rainfall

    New research conducted using machine learning has highlighted the importance of focusing on specific seasons and regions when using major modes of climate variability to predict rainfall.  Large-scale modes of climate variability, such as the El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), are often identified in advance by major weather organisations around

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  • Floodwaters submerge a road, with a yellow "Water Over Road" warning sign partially surrounded by murky water, power poles, and trees in the background.

    Why was 2022 in Australia so wet, and will it happen again?

    Slow-moving systems of low pressure, high levels of atmospheric moisture and a perfect storm of La Niña, the Indian Ocean Dipole and the Southern Annular Mode caused Australia’s devastating 2022 floods, but more research is needed to understand the role of climate change in future heavy rainfall. Eastern Australia experienced record-breaking rainfall and flooding during

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