Unlike numerical weather prediction models, forecast systems that use machine learning are not constrained by the physical laws that govern the atmosphere. So it’s possible that they could produce unrealistic results.
This report builds on ESCAP’s Asia Pacific Disaster Report 2021, Asia and the Pacific SDG Progress Report 2022 and the latest reports (2021/2022) issued by the Intergovernmental Panel on Climate Change (IPCC).
Disasters often unsettle and expose the normal functioning of societal structures and institutions. They differentially disrupt everyday life and the relations between human, non-human and more-than-human beings.
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.