tools_wrfda Module Reference

Subroutines/functions list. More...

Data Types
interface	pseudoinv
interface	da_eof_decomposition

Functions/Subroutines
subroutine	wrfda_pseudoinv (mpl, n, a, c, mmax, var_th)
	Compute pseudo inverse of a symmetric matrix. More...
subroutine	wrfda_da_eof_decomposition (mpl, kz, bx, e, l)
	Compute eigenvectors E and eigenvalues L of covariance matrix. B_{x} defined by equation: E^{T} B_{x} E = L, given input kz x kz matrix. 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)  kz, real(kind_real), dimension(1:kz,1:kz), intent(in)  bx, real(kind_real), dimension(1:kz,1:kz), intent(out)  e, real(kind_real), dimension(1:kz), intent(out)  l  )

private

Compute eigenvectors E and eigenvalues L of covariance matrix. B_{x} defined by equation: E^{T} B_{x} E = L, given input kz x kz matrix.

Parameters

[in,out]	mpl	MPI data
[in]	kz	Dimension of error matrix
[in]	bx	Vert. background error
[out]	e	Eigenvectors of Bx
[out]	l	Eigenvalues of Bx

Definition at line 163 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)  c, integer, intent(in), optional  mmax, real(kind_real), intent(in), optional  var_th  )

private

Compute pseudo inverse of a symmetric matrix.

Parameters

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

Definition at line 59 of file tools_wrfda.F90.