Story Spark: Attribution Science

The document explains that attribution science uses climate models and observational data to compare a world with human-induced warming to a fictional world without greenhouse gas emissions to determine the impact of climate change on specific weather events. It notes that 83% of such studies find a climate link and encourages journalists to explicitly connect these events to fossil fuel use and human vulnerability.

• Attribution science has advanced since 2004 due to stronger climate signals, increased computing power, and global data sharing, allowing groups like World Weather Attribution and Climate Central to quantify climate change's influence on individual events shortly after they occur.
• Researchers conduct attribution studies by simulating a weather event in two virtual worlds: one reflecting the current world with human-induced global warming and a fictional one where greenhouse gas emissions are removed; comparing these reveals the effect of emissions on the severity and likelihood of events like floods, droughts, and hurricanes.
• The vast majority of attribution studies, specifically 83%, identify a link between the extreme weather event and climate change.
• Journalists are advised to explicitly link extreme weather to fossil fuels and human activities, and to emphasize that human vulnerability and lack of preparation contribute to the loss of life and infrastructure damage during disasters.

APA

CCNow (2024). Story Spark: Attribution Science. Covering Climate Now. https://coveringclimatenow.org/from-us-story/covering-attribution-science/

Chicago

CCNow. Story Spark: Attribution Science. Covering Climate Now, 2024. https://coveringclimatenow.org/from-us-story/covering-attribution-science/.

Wikipedia

{{cite report |last1=CCNow |title=Story Spark: Attribution Science |publisher=Covering Climate Now |date=17 December 2024 |url=https://coveringclimatenow.org/from-us-story/covering-attribution-science/ |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{ccnow2024story, author = {CCNow}, title = {{Story Spark: Attribution Science}}, institution = {Covering Climate Now}, year = {2024}, month = dec, url = {https://coveringclimatenow.org/from-us-story/covering-attribution-science/}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }