data_code.zip

Limitations such as finite ensembles and imperfect physical parameterizations introduce sampling and model errors, reducingbackground ensemble spread and underestimated error covariances, further leading to filter divergence. This can cause parameters to converge to inappropriate values, resulting i... View More