3When developing computational models to analyze the tradeoffs between climate risk 4 management strategies (i.e., mitigation, adaptation, or geoengineering), scientists make explicit 5 and implicit decisions that are influenced by their beliefs, values and preferences. Model 6 descriptions typically include only the explicit decisions and are silent on value judgments that 7 may explain these decisions. Eliciting scientists" mental models, a systematic approach to 8 determining how they think about climate risk management, can help to gain a clearer 9 understanding of their modeling decisions. In order to identify and represent the role of values, 10 beliefs and preferences on decisions, we used an augmented mental models research approach, 11 namely values-informed mental models (ViMM). We conducted and qualitatively analyzed 12 interviews with eleven climate risk management scientists. Our results suggest that these 13 scientists use a similar decision framework to each other to think about modeling climate risk 14 management tradeoffs, including eight specific decisions ranging from defining the model 15 objectives to evaluating the model"s results. The influence of values on these decisions varied 16 between our scientists and between the specific decisions. For instance, scientists invoked ethical 17 values (e.g., concerns about human welfare) when defining objectives, but epistemic values (e.g., 18 concerns about model consistency) were more influential when evaluating model results. ViMM 19 can (i) enable insights that can inform the design of new computational models and (ii) make 20 value judgments explicit and more inclusive of relevant values. This transparency can help 21 model users to better discern the relevance of model results to their own decision framing and 22 concerns. 23 24 Keywords 25