AI speeds up climate computations

Realistic climate simulations require huge reserves of computational power. An LMU study now shows that new algorithms allow interactions in the atmosphere to be modeled more rapidly without loss of reliability.

Droughts in Mongolia—past, present and future

The extreme wet and dry periods Mongolia has experienced in the late 20th and early 21st centuries are rare but not unprecedented and future droughts may be no worse, according to an international research team that includes ...

How smart monitoring is helping an urban farm to flourish

An innovative and award-winning urban farming facility is creating energy-efficient growing conditions in tunnels 120ft below the busy streets of Clapham in London. Micro greens and salad leaves are thriving with the help ...

Modeling where the wind blows

By incorporating geographical information into models for wind energy, researchers from KAUST have developed an innovative statistical tool that reduces the computational burden of locating global wind resources.

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