ARTS built-in documentation server

Workspace Variable 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 ]

Group: CovarianceMatrix

Specific methods that can generate covmat_se

• covmat_seAddBlock
• covmat_seAddInverseBlock
• covmat_seSet
• retrievalDefInit

Generic and supergeneric methods that can generate covmat_se

• CovarianceMatrixCreate
• Copy
• ReadXML
• ReadXMLIndexed
• Touch

Specific methods that require covmat_se

• covmat_seAddBlock
• covmat_seAddInverseBlock
• OEM
• covmat_soCalc

Generic and supergeneric methods that can use covmat_se

• Copy
• covmat_seSet
• covmat_sxSet
• Delete
• Ignore
• MatrixFromCovarianceMatrix
• Print
• WriteXML
• WriteXMLIndexed

Agendas that can generate covmat_se

• none

Agendas that require covmat_se

• none