🌫️ Sand and dust storms are major hazards. And here’s an example: Earlier this month, Libya was hit by strong southeasterly winds with speeds ranging from 50 to 80 km/h. These winds stirred dense dust and sand, causing a near-total loss of visibility in worst affeced areas, and causing significant structural damages and the collapse of building walls, electricity pylons and trees. Libya’s National Meteorological and Hydrological Service issued forecasts and early warnings to keep casualties to

🤖 Machine learning and data-driven methods are unlocking new opportunities for weather forecasting and research. Here’s how: ⏩ Accelerated research: Experiments run faster than with traditional models 🖥️ Explore more data: Tap into vast, existing and unexplored datasets to enhance weather forecasting 🤝 Cross-sector collaboration: Technology bridges meteorological services, academia, and the private sector #ScienceForAction | World Meteorological Organization

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Data visualization by Antti Lipponen at Finnish Meteorological Institute of temperature anomalies 1880-2017 by country, using @NASA GISS data #GISTEMP #climatechange. Download at https://bit.ly/2Pa8FxN | World Meteorological Organization

Extreme weather and climate change impacts are increasing in Asia, which ricocheted between droughts and floods in 2022, ruining lives and destroying livelihoods. Melting ice and glaciers and rising sea levels threaten more socio-economic disruption in future, according to our latest #StateOfClimate report. 🔗 https://bit.ly/StateOfClimateAsia2022 | World Meteorological Organization