pyesmda.ESMDA_DMC.cov_obs_inflation_factors#

property ESMDA_DMC.cov_obs_inflation_factors: List[float]#

Get the inlfation factors for the covariance matrix of the measurement errors.

Single and multiple data assimilation are equivalent for the linear-Gaussian case as long as the factor \(\alpha_{l}\) used to inflate the covariance matrix of the measurement errors satisfy the following condition:

\[\sum_{l=1}^{N_{a}} \frac{1}{\alpha_{l}} = 1\]

In practise, \(\alpha_{l} = N_{a}\) is a good choice [Emerick and Reynolds, 2013].