covmat_se

property Workspace.covmat_se

Covariance matrix for observation uncertainties.

This matrix (Se) describes the uncertainty of the measurement vector (y), and can be writtenn as:

Se = Seps + Kb * Sb * Kb'

where Seps describes direct measurement errors (such as thermal noise), Kb is Jacobian for forward model parameters, and Sb describes the uncertainty of the forwatrd model parameters.

Usage: Used by inversion methods.

Dimensions: [ y, y ]

Workspace methods that can generate covmat_se

covmat_seAddBlock() covmat_seAddInverseBlock() covmat_seSet() retrievalDefInit()

Workspace methods that require covmat_se

OEM() covmat_seAddBlock() covmat_seAddInverseBlock() covmat_soCalc()

Generic workspace methods that can generate or use covmat_se

See CovarianceMatrix and/or Any

type:

WorkspaceVariable - holds type CovarianceMatrix