Replication Data for Quantifying Water Vapor Residence Time: A Dynamical Constraint on the Response of the Global Water Cycle to Climate Change

We have developed novel passive tracers for calculating the water vapor age spectrum in an Eulerian model. Our method resolves the temporal and spatial variability of the water vapor age distribution, and allows us to calculate the age spectrum of the precipitating water as well. We have demonstrated our technique by implementing these tracers in the Isca modelling framework using a quasi-realistic configuration which we then perturb with global SST anomaly experiments. This data presents the first 2 moments of the water vapor age distribution, mean age of precipitation and other diagnostics from the model's control and +2K experiments.