Re: dtrend and NaNs?

You can test for NAN and then substiture the missing_value
(= _FillValue)

See:

http://www.ncl.ucar.edu/Document/Functions/Built-in/isnan_ieee.shtml

see Example 1

On 6/7/11 3:23 PM, Katinka Bellomo wrote:
>
>>
>>> Hi!
>>>
>>> I am dealing with observations that have lots of NaN especially at
>>> high latitudes.
>>>
>>> When I compute regressions or trends I obtain unrealistic values for
>>> regions with too many NaN.
>>>
>>> Does NCL have any statistic tests I can use specifically for NaNs
>>> (say, discard points where>75% of data are NaNs)?
>>>
>>> Thanks!
>>>
>>> Katinka
>>
>>
>
>
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Received on Tue Jun 7 16:16:58 2011