Hi @homan95,
Thank you for running additional tests.
In short, the recipe saves the various NumPy files using the lowest possible data type without compromising accuracy, in order to reduce disk space usage. In your case, the issue occurred during the UTCI matrix calculation. The air temperature file used in that step was saved as float16, which led to overflow issues later in the NumPy calculations.
I suspect the annual/monthly analysis worked because the same file was saved as float32 at that time (it now contains different data).
I’ve updated the code so that all files are converted to float32 during the calculation process to prevent this issue.
You should receive the fix within an hour after updating your core libraries using LB Versioner. However, I recommend installing the newly released 1.10.0 first, and then running LB Versioner afterward.