Warning! LAPACK routine returned eigenvalue <= 0

Hallo everyone,

would you please to help me, I got some errors when I tried to calculate eof
for variable (*level, lat*, time):

Warning! LAPACK routine returned eigenvalue <= 0.
Setting it to zero...
warning:ContourPlotInitialize: no valid values in scalar field; ContourPlot
not possible:[errno=1101]
warning:LlSetValues: invalid range for Y Axis log mode; setting trYLog off

Part of my codes:
  [SNIP]

  wx = xw (level|:,lat|:,lon|:,time|:)
  delete(xw)
  x= wx (:,:,{0},:)
  printVarSummary(x)

  eof = eofunc_Wrap(x, neof, optEOF)
  eof = -1*eof
  eof_ts = eofunc_ts_Wrap (x, eof, optETS)

  printVarSummary( eof ) ; examine EOF
variables
  printVarSummary( eof_ts )

  eof_ts = dim_standardize_n( eof_ts, 0, 1) ; normalize

  eof_regres = eof ; regress
  do ne=0,neof-1
     eof_regres(ne,:,:) = (/ regCoef(eof_ts(ne,:), x(level|:,lat|:,time|:))
/)
  end do

 ----

 plot = gsn_csm_pres_hgt(wks, eof_regres(0,:,:), res ) ; place holder

end

==============================

Variable: x
Type: float
Total Size: 3546048 bytes
            886512 values
Number of Dimensions: 3
Dimensions and sizes: [level | 23] x [lat | 73] x [time | 528]
Coordinates:
            level: [1..1000]
            lat: [90..-90]
            time: [508416..893376]
Number Of Attributes: 7
  lon : 0
  missing_value : -32767
  long_name : Wgt: U velocity
  units : m s**-1
  missing_value_original : -32767
  _FillValue : -32767
  _FillValue_original : -32767
 Warning! LAPACK routine returned eigenvalue <= 0.
 Setting it to zero...

Variable: eof
Type: float
Total Size: 6716 bytes
            1679 values
Number of Dimensions: 3
Dimensions and sizes: [evn | 1] x [level | 23] x [lat | 73]
Coordinates:
            evn: [1..1]
            level: [1..1000]
            lat: [90..-90]
Number Of Attributes: 7
  eval_transpose : 0
  eval : 0
  pcvar : -nan
  matrix : covariance
  method : transpose
  _FillValue : -32767
  long_name : EOF: Wgt: U velocity

Variable: eof_ts
Type: float
Total Size: 2112 bytes
            528 values
Number of Dimensions: 2
Dimensions and sizes: [evn | 1] x [time | 528]
Coordinates:
            evn: [1..1]
            time: [508416..893376]
Number Of Attributes: 4
  ts_mean : -nan
  matrix : covariance
  _FillValue : -32767
  long_name : EOF: Amplitude: Wgt: U velocity
*ncl 77> print(max(eof_regres))*
*(0) 9.96921e+36*
*ncl 78> print(max(eof)) *
*(0) -nan*
*ncl 79> print(max(eof_ts))*
*(0) -nan*
*ncl 80> print(min(eof)) *
*(0) -nan*

Thanks for your help.

Erika,

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Received on Mon Jun 10 12:56:40 2013