The Coupled Model Intercomparison Project lies at the core of global climate prediction. This paper details the Coupled Model Intercomparison Project phase 7 (CMIP7) and its Fast Track initiative. By transitioning into a continuous climate modeling program with enhanced coordination and federated planning, CMIP7 aims to address key climate questions more effectively. The expansion of the Diagnostic, Evaluation, and Characterization of Klima (DECK) experiments—including the addition of historical simulations, effective radiative forcing assessments, and CO₂-emissions-driven experiments—strengthens the foundation for climate model evaluation and projection. Additionally, the AR7 Fast Track ensures timely delivery of critical climate simulation data to support the upcoming 7th Intergovernmental Panel on Climate Change Assessment Report. This paper highlights how these advancements in experimental protocols and infrastructure support not only scientific understanding but also inform policy-making and climate services, ultimately contributing to global efforts in climate adaptation and mitigation.

Graphical representations of modelling processes play an important role in communicating the nature of models to their users, and to the downstream users of the outputs of those models. This paper takes an innovative approach to developing and disseminating graphical model representations in a consistent manner across a whole research community. By publishing these together as a journal paper, the rigour and accuracy of these representations has been subjected to peer review. The quality of the diagrams themselves is high, and the process undertaken to produce them is an examplar of good practice in disseminating science.

This is an important topic and timely given that we are on the cusp of running CMIP7 simulations.

Operational avalanche forecasting has so far been done almost exclusively by human forecasters. For the first time, an automated machine learning approach allows to reach forecasting skills close to human forecasters.

This multi-model inter-comparison presents a state-of-the-art assessment of Latin America for the first time which is a region often ignored in air quality studies.

This paper addresses the conditions in which GCM and downscaled solutions diverge for targeted processes under historical and future climate conditions. Downscaling is a crucial part of making climate model outputs useable by the wider science and policy community. Understanding the properties and limitations of downscaling should hence be of interest far beyond the model development community.

As a core contribution to CMIP7, this paper offers an idealized yet insightful projection of climate system behavior during the net-zero transition. Its policy relevance is clear, as it effectively links human-driven emission mitigation efforts with their climatic consequences.