tools_wrfda Module Reference

Subroutines/functions list. More...

Data Types
interface	pseudoinv
interface	da_eof_decomposition
interface	da_eof_dominant_mode
interface	da_eof_recomposition

Functions/Subroutines
subroutine	wrfda_pseudoinv (mpl, n, a, ainv, mmax, var_th)
	Compute the pseudo-inverse of a covariance matrix. More...
subroutine	wrfda_da_eof_decomposition (mpl, n, a, evec, eval)
	Compute eigenvectors and eigenvalues of a covariance matrix. More...
integer function	wrfda_da_eof_dominant_mode (n, eval, var_th)
	Compute dominant mode given a variance threshold. More...
subroutine	wrfda_da_eof_recomposition (n, mmax, evec, eval, a)
	Recompute covariance matrix from a subset of eigenvectors and eigenvalues. More...

Detailed Description

Subroutines/functions list.

Instrumentation functions WRFDA functions

Function/Subroutine Documentation

wrfda_da_eof_decomposition()

subroutine tools_wrfda::wrfda_da_eof_decomposition ( type(mpl_type), intent(inout)  mpl, integer, intent(in)  n, real(kind_real), dimension(n,n), intent(in)  a, real(kind_real), dimension(n,n), intent(out)  evec, real(kind_real), dimension(n), intent(out)  eval  )

private

Compute eigenvectors and eigenvalues of a covariance matrix.

Parameters

[in,out]	mpl	MPI data
[in]	n	Matrix size
[in]	a	Matrix
[out]	evec	Eigenvectors
[out]	eval	Eigenvalues

Definition at line 125 of file tools_wrfda.F90.

wrfda_da_eof_dominant_mode()

integer function tools_wrfda::wrfda_da_eof_dominant_mode ( integer, intent(in)  n, real(kind_real), dimension(n), intent(in)  eval, real(kind_real), intent(in)  var_th  )

private

Compute dominant mode given a variance threshold.

Parameters

[in]	n	Number of eigenvalues
[in]	eval	Eigenvalues
[in]	var_th	Variance threshold

Definition at line 170 of file tools_wrfda.F90.

wrfda_da_eof_recomposition()

subroutine tools_wrfda::wrfda_da_eof_recomposition ( integer, intent(in)  n, integer, intent(in)  mmax, real(kind_real), dimension(n,n), intent(in)  evec, real(kind_real), dimension(n), intent(in)  eval, real(kind_real), dimension(n,n), intent(out)  a  )

private

Recompute covariance matrix from a subset of eigenvectors and eigenvalues.

Parameters

[in]	n	Matrix size
[in]	mmax	Dominant mode
[in]	evec	Eigenvectors of a
[in]	eval	Eigenvalues of a
[out]	a	Matrix

Definition at line 215 of file tools_wrfda.F90.

wrfda_pseudoinv()

subroutine tools_wrfda::wrfda_pseudoinv ( type(mpl_type), intent(inout)  mpl, integer, intent(in)  n, real(kind_real), dimension(n,n), intent(in)  a, real(kind_real), dimension(n,n), intent(out)  ainv, integer, intent(in), optional  mmax, real(kind_real), intent(in), optional  var_th  )

private

Compute the pseudo-inverse of a covariance matrix.

Parameters

[in,out]	mpl	MPI data
[in]	n	Matrix size
[in]	a	Matrix
[out]	ainv	Matrix inverse
[in]	mmax	Dominant mode
[in]	var_th	Variance threshold

Definition at line 65 of file tools_wrfda.F90.