This document presents a communication and dissemination strategy for TipESM, detailing communication objectives, strategies and channels. It presents an overview of primary target audiences and relates them to specific communication and dissemination formats. The document also includes descriptions of tools used in the project to implement and monitor communication and dissemination activities, including the editorial calendar and communication reporting templates. 

This document is an Exploitation Strategy, outlining how TipESM will work to ensure the relevance, uptake and usability of project results so that they live on beyond the project duration. Owners of key project results will rely on this strategy to effectively disseminate and allow the exploitation of these results.

This report provides a summary of main discussion points and outcomes of the Clustering Event Nr.1, that was organized in collaboration between TipESM and ClimTip – two sister projects funded under the same Horizon Europe call on Climate-related tipping points. The event took place on 7-10 April 2025 in Paris, France, hosted at the Henri Poincaré Institute of the Sorbonne University. The report provides links to all available sessions and presentations from the event.

This deliverable describes the datasets of areas affected by strong tropical cyclone winds and flooded areas made accessible through the ISIMIP data repository. These datasets are derived from state-of-the-art climate, tropical cyclone, hydrological, and hydrodynamic model simulations, respectively, prepared in the context of CMIP6 and ISIMIP3. They describe the annual maximum storm intensity (in terms of wind speed) and flooded area fraction, respectively, in each grid cell globally, under historical and future climatic conditions according to different scenarios of greenhouse gas concentrations. The data can be used for assessing the risks associated with these two hazards, such as risks to life, livelihoods, health, or economic assets.

A set of algorithms has been developed to detect abrupt changes over decadal timescales, including tipping points and rapid transitions. This set was used to detect very Strong Nonlinear Surprises (SNS-events) using fully automated scripts, based on several stringent criteria. Thereafter, the Coupled Model Intercomparison Project Phase 6 (CMIP6) archive was analysed for the occurrence of SNS in future climate-change projections.