PetscDAEnsembleComputeNormalizedInnovationMatrix#

Computes S = R^{-1/2}(Z - y_mean * 1’)/sqrt(m-1) [Alg 6.4 line 5]

Synopsis#

Collective

Input Parameters#

  • Z - observation ensemble matrix

  • y_mean - mean of observations

  • r_inv_sqrt - R^{-1/2}

  • m - ensemble size

  • scale - 1/sqrt(m-1)

Output Parameter#

  • S - normalized innovation matrix

See Also#

PetscDA: Data Assimilation, PetscDA, PETSCDAETKF, PETSCDALETKF, PetscDASetSizes(), PetscDAGetSizes()

Level#

developer

Location#

src/ml/da/impls/ensemble/daensemble.c


Index of all PetscDA routines
Table of Contents for all manual pages
Index of all manual pages