Early warning

This concept note outlines the critical need for enhanced Early Warning Systems (EWS) to detect water contamination from nuclear fission plants.

Infectious disease clinician and microbiologist Dr. Miki Nagao from Kyoto University is leading a program that aims to fortify the city against the next big threat.

A workshop in Korea trained Togo’s officials on DRR, climate resilience, and early warning tools. With support from GCF and BOAD, it focused on adapting MHEWS and tech like flood/wildfire sensors to Togo’s high-risk climate zones.

Scientists from the Chinese Academy of Sciences have developed a new forecasting tool called iDust that improves predictions of dust storms, offering significant benefits for solar energy production.

The study developed a machine learning-based early warning system for floods in Uganda’s Kasese District, integrating sensors and predictive models.

The massive floods that tropical cyclones bring now demand urgent and science-based decision-making.

Until now, scientists have not been able to predict warming of the ocean surface in the South Atlantic Ocean. But now, by using artificial intelligence they show that El Niño phenomenon in the region can be predicted up to 3 to 4 months ahead.

An internal memo reviewed by Grist showed the National Weather Service has stopped translating radio alerts in the southern region, a move that has enraged workers in the local offices.