Re: simple daily anomalies

I followed the thread here
http://www.ncl.ucar.edu/Support/talk_archives/2013/3227.html and do the
same thing as follow:

x [time,level,lat]

dimx = dimsizes(x)
ntim = dimx(0)
klev = dimx(1)
nlat = dimx(2)
mlon=1

xnew = conform_dims( (/ntim,klev,nlat,mlon/), x, 3)

*then ERROR:fatal:conform_dims: The array to be conformed must have the
same number of dimensions as indicated by the length of the last argument*

Variable: x
Type: float
Total Size: 854976 bytes
            213744 values
Number of Dimensions: 3
Dimensions and sizes: [time | 366] x [level | 8] x [lat | 73]
Coordinates:
            time: [17067072..17075832]
            level: [1000..300]
            lat: [90..-90]
Number Of Attributes: 19
  long_name : mean Daily relative humidity
  unpacked_valid_range : ( -25, 125 )
  actual_range : ( 0, 100 )
  units : %
  missing_value_original : 32766
  precision : 2
  least_significant_digit : 0
  GRIB_id : 52
  GRIB_name : RH
  var_desc : Relative humidity

I have no idea I always get this error,
Thank you

Chang

On Mon, Jan 27, 2014 at 5:12 PM, Xi Chang <xi.chang01@gmail.com> wrote:

> Hallo NCL folks,
>
> I was searching through all NCL functions, a function that can produce
> daily anomalies from 3D data without 'longitude' i.e. X [time, level, lat].
> since clmDayTLL and clmDayTLLL still consider the longitude within the
> dataset.
>
> Thanks.
>

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Received on Mon Jan 27 09:46:20 2014