The first paper of the DADA project (Data assimilation, Detection and Attribution), led by Alexis Hannart, has been accepted by Climatic Change: DADA: Data Assimilation for the Detection and Attribution of Weather- and Climate-related Events. The preprint is available here. Alexis Hannart, Alberto Carrassi, Michael Ghil, Philippe Naveau, Manuel Pulido, Juan Ruiz, and Pierre Tandeo are co-authors. The paper proposes to use data assimilation outputs in operational centres of numerical weather forecast in order to assign likelihoods to factual and counter-factual models. That offers a potentially very efficient way to quantitatively address the attribution issue.