A real-time attribution study was conducted during the heatwave that affected large parts of North India and Pakistan in April-May 2022. The analysis was produced with a system developed in Hadley Centre for the attribution of extremes in near-real time.
This roadmap uses a series of progress models to measure Tunisia's Meteorological and Hydrological Service Providers’ capacities in several key areas: service delivery, observation and telecommunication, and modeling and forecasting.
A new report launched by the World Bank, the Government of Tunisia, and GFDRR examines ways to improve capabilities of Tunisia’s National Meteorological and Hydrological Services to support socio-economic development to save lives and livelihoods.
This contributing paper paper offers an analysis of the global COVID-19 experience and stepwise implementing consequences which will require a long-term effort involving scientists, decision-makers, and many more.
Wildfires are a worldwide problem requiring global collaboration to successfully manage and minimise the risk of occurrence. Artificial intelligence algorithms, combined with end-to-end fire management systems, are powerful tools for combating wildfires.
The publication provides a summary on the state of the climate indicators in 202, such as global temperature trends, green house gases, ocean, cryosphere, stratospheric ozone, drivers of climate variability, precipitation distribution, and extreme events.