Science-informed initiatives, technology and innovation output, informing policy-making and practice, co-designing, co-producing and co-delivering new knowledge.
The global market for climate risk digital solutions will grow from around $880 million in 2021 (our baseline year) to more than $4 billion in 2027, according to the Verdantix Climate Risk Digital Solutions Market Size & Forecast.
The use of artificial intelligence (AI) to help collect, understand and analyze large sets of information has the potential to revolutionize our ability to observe, understand and predict processes in the Earth’s systems.
Using “probabilistic learning” – a type of machine learning – a new method can create local flood hazard models that can pinpoint conditions street by street using real-time storm forecasts.
Weather extremes have become more frequent and intensive since the 1950s, and international hydrology experts are using new technology to map land areas subject to hotter, dryer conditions under climate change.
With climate change exacerbating the impact of disaster vulnerabilities, the LAC region urgently needed capacity to assess the safety of built structures following disasters. With the IAEA’s help, the region has achieved self-reliance in these capacities.
A recent study provides an assessment of pluvial flood risks in the Metropolitan City of Venice through an innovative Machine Learning methodology that considers spatio-temporal variables.
Centro Euro-Mediterraneo sui Cambiamenti Climatici
Since the decision taken by UN to propose early warning for all in 2030, arose the question of how to cover multiples regions, multiples languages and multiple hydrometeorological as well as geophysical phenomenons.
