To enhance teaching and learning about Earth's climate and global climate change (GCC) in secondary science classrooms, the authors are engaged in a four-year, National Science Foundation (NSF)-funded project to develop, implement, and evaluate a new four-week curriculum module grounded in the use of a data-driven, computer-based climate modeling toolkit--EzGCM (see Forbes et al. 2020). Instructional approaches focused on investigations grounded in climate data have been successful in improving students' understanding of the global warming phenomenon, as well as the methods scientists use to develop the evidence (e.g., Holthius, Lotan, Saltzman, Mastrandrea, and Wild 2014). However, it is challenging to obtain, analyze, understand, and present large scientific data sets and complex computer models in the classroom. Tools such as EzGCM make modeling and big data more accessible to students and more appropriate for classroom teaching and learning. However, if not integrated meaningfully, students' interactions with these data and models remains superficial (Bowen and Rodger 2008). In this article, the authors describe their approach to using models to support students' reasoning about Earth's climate and GCC through the use of EzGCM.