In a paper published in Journal of Geo-information Science, a group of researchers pioneered a new paradigm by leveraging large language models (LLMs) in constructing typhoon disaster knowledge graphs (KGs), transforming fragmented data into structured disaster intelligence. Simultaneously, these KGs are fused into LLMs to achieve intelligent knowledge services, advancing contextualized and intelligent disaster response systems.

As ice sheets retreat, glacial environments initially absorb greenhouse gases but soil development over long times creates a source of greenhouse gases.

Severe weather events, such as heavy rainfall, are becoming increasingly commonare on the rise worldwide. Reliable assessments of these events can save lives and protect property. Researchers at the Karlsruhe Institute of Technology (KIT) have presented developed a new method that uses artificial intelligence (AI) to convert low-resolution global weather data into high-resolution precipitation maps. The method is fast, efficient, and independent of location. Their findings have been published in npj Climate and Atmospheric Science: https://doi.org/10.1038/s41612-025-01103-y