Simplified warming scenarios
The study acknowledges that climate projections show spatially variable warming trends and temporal variability, especially with extreme events. However, it uses uniform warming perturbations to isolate the hydrologic response, which simplifies the real-world scenario and limits the applicability of findings to actual climate change projections.
While the study emphasizes the importance of groundwater, it uses a single integrated hydrologic model for North America. This lack of comparison with other models introduces model dependency and limits the generalizability of the results. As more simulations of this type are undertaken, a multi-model approach could be used to study the impact of conceptual model uncertainty.
Short simulation timeframe
The simulations were run for only 4 years. While this allows for capturing interannual variability and initial system response, it might not fully capture long-term equilibrium changes in groundwater storage or ecosystem adaptation to warming. The short simulation time frame might overestimate the sensitivity of ET changes to temperature.
Computational limitations
The study acknowledges the high computational cost of the modeling approach, stating that global models and multi-decadal ensemble simulations are not yet feasible. This limits the scalability of the approach to global or longer-term analyses, which are crucial for understanding the broader impacts of climate change.