[ncl-talk] bw_bandpass_filter returns extremely large values

[Gaeun Kim]

Dear NCL users

I'm trying to apply bandpass filter to daily AO index from CPC and
temperature anomalies data.
The filtered temperature anomalies look okay,
but I get extremely large values from the filtered AO index like min =
-1.11408e+36, max =1.4402e+36

Any help will be appreciated.

ps. ao data includes one missing value. Could this be a problem?



Variable: ao
Type: float
Total Size: 52596 bytes
                  13149 values
Dimensions and sizes: [13149]
Coordinates:
Number of Attributes: 1
   _FillValue : 9.96921e+36

Variable: t_ano
Type: float
Total Size: 52596 bytes
                  13149 values
Dimensions and sizes: [13149] x [1] x[1]
Coordinates:
Number of Attributes: 2
   _FillValue : 9.96921e+36
   long_name : Anomalies from Daily Climatology

ca = 60
cb = 30

fca = 1.0/ca
fcb = 1.0/cb
dims = 0
opt = False

ao_bf = bw_bandpass_filter(ao,fca,fcb,opt,dims)
t_bf = bw_bandpass_filter(t_ano,fca,fcb,opt,dims)
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