taylor_diagram

Generate Taylor diagrams for evaluating model performance against a reference dataset.

This script is intended for NetCDF files containing time series of aggregated variables. It computes spatially averaged time series (mean over lat/lon), removes NaNs consistently across reference and model series, and optionally normalizes values by the standard deviation of the reference. Multiple models can be compared against a single reference within one Taylor diagram.

The workflow includes: - loading reference and model NetCDF datasets, - interpolating latitude/longitude naming and orientation, - computing time-mean spatial series, - aligning data and masking invalid values, - plotting a Taylor diagram (via easy_mpl) to assess correlation, centered RMSD, and variance, - saving the result as a PNG file.

Authors

• Jeisson Leal

Functions

calc_tim_mean(da)	Return the spatial mean time series (mean over lat/lon) of a DataArray.
generate_taylor_diagram(ref_input_dir, ...)	Create and save a Taylor diagram comparing multiple models to one reference.
mask_nan(obs, sims)	Mask NaNs across observation and simulations, keeping only common valid indices.
prepare_da(input_dir, pattern, var_name)	Load, normalize lat/lon names/orientation, and return the target variable.