glm-output

You can extract temperature profiles from GLM NetCDF output by reading the file directly, accessing the time and z-coordinate variables, and converting the z-axis values to standard depth measurements to align temperature data by depth and time.

To convert GLM z-coordinates to depth for lake model validation, you apply a depth conversion transformation to the vertical axis data, which aligns the modeled temperatures with observed field measurements taken at specific physical depths in the lake.

Yes, you can compute RMSE for lake model temperatures by aggregating the extracted NetCDF temperature data by datetime and depth, cleaning any masked values, and comparing the resulting data frame directly against observed field measurements.

The best way to clean masked values in NetCDF lake data is to implement a data cleaning step that identifies and removes or ignores masked entries during the aggregation process, ensuring that only valid temperature data points are used for RMSE computation.

No specific dependencies are required, as the processing logic implements its own functionality for reading NetCDF files, converting depth, and aggregating temperature data by datetime and depth without external Skill dependencies.