Skip to content Experiences from the World Weather Attribution collaboration: We attempt to answer the question whether and to what extent the likelihood and intensity of an observed event changed due to the anthropogenic modification of the Earth's climate using a method called extreme event attribution. Latest analyses In the first six months of 2020, Siberia experienced a period of unusually high temperatures, including a record-breaking 38 degrees C in the town of Verkhoyansk on 20 June, causing wide-scale impacts including wildfires, loss of permafrost, and an invasion of pests. Our latest analysis explores the role of human-induced climate change in the southeastern Australian bushfires in 2019–2020. A new rapid analysis concludes that the extreme rainfall and flooding caused by Tropical Storm Imelda was made more likely and intense due to global warming. World Weather Attribution Since 2015 the World Weather Attribution (WWA) initiative has been conducting real-time attribution analysis of extreme weather events as they happen around the world.
The map on the side displays NMM models as red and NEMS models as black boxes. For a single forecast, multiple weather models, statistical analysis, measurements, radar and satellite telemetry are considered and combined to generate the most probable weather forecast for any given location on Earth.
This provides the public, scientists and decision-makers with the means to make clear connections between greenhouse gas emissions and impactful extreme weather events, such as storms, floods, heatwaves and droughts. We research and develop scientific tools and methodologies to perform timely and robust assessments of whether and to what extent human-induced climate change played a role in the magnitude and frequency of extreme weather events. We've made real and significant advances in isolating the climate signal in the costly impacts of such events, in both developed and developing countries. Our partners are at the forefront of this emerging scientific field. Find out more …