Evaluating the role of observational uncertainty in climate impact assessments: Temperature-driven yellow fever risk in South America
Fig 5
Spatial maps of evaluation metrics.
Comparison of grid cell and station values based on A: Pearson correlation coefficient (PCC). B: Mean absolute error (MAE). C: Root mean square error (RMSE) between ERA5Land and ground-based observations at the corresponding station on a monthly time scale in Brazil and Colombia.