The SpongeBoost project is taking a creative approach to communicating its mission of enhancing and restoring landscapes' natural water retention capacities. By consolidating existing knowledge, utilising best practices, and testing innovative approaches, the project aims to create a comprehensive roadmap for implementing transformative measures that improve resilience to extreme weather events. This involves synthesising information for policy-making, practical restoration, and land-use planning, as well as showcasing successful examples of sponge restoration and its multiple benefits.

Getting zapped with millions of volts of electricity may not sound like a healthy activity, but for some trees, it is. A new study, published in New Phytologist, reports that some tropical tree species are not only able to tolerate lightning strikes, but benefit from them. The trees may have even evolved to act as lightning rods. The research was led by Evan Gora, a forest ecologist at Cary Institute of Ecosystem Studies. Gora studies how lightning impacts biodiversity and carbon storage in Panama’s tropical forests.

A new study led by the University of Vermont (UVM) uncovers a critical challenge in accurately classifying precipitation as rain or snow using surface weather data. Accurately identifying precipitation phase is critical for weather forecasting, hydrologic modeling, and climate research, with significant implications for transportation. At temperatures near freezing, however, all traditional methods struggle to accurately predict rain and snow due to the meteorological similarity of the two phases. Leveraging multi-source data integration rather than relying on surface weather data alone may offer improvements.

Tropical marine low clouds play a crucial role in regulating Earth’s climate. However, whether they mitigate or exacerbate global warming has long remained a mystery. Now, researchers from the School of Engineering at the Hong Kong University of Science and Technology (HKUST) have developed a groundbreaking method that significantly improves accuracy in climate predictions. This led to a major discovery – that tropical cloud feedback may have amplified the greenhouse effect by a staggering 71% more than previously known to scientists.