[ncl-talk] missing value
Debasish Hazra
debasish.hazra5 at gmail.com
Tue Dec 4 09:36:16 MST 2018
Hi,
I am not able to fix missing value as it seems to be incorrect.
printVarSummary(sat_rain)
printMinMax(sat_rain,0)
which shows :
Variable: sat_rain
Type: float
Total Size: 506661120 bytes
126665280 values
Number of Dimensions: 3
Dimensions and sizes: [time | 122] x [lat | 721] x [lon | 1440]
Coordinates:
ttime: [20150601..20150930]
lat: [ -90.. 90]
lon: [-180..179.75]
Number Of Attributes: 13
time : 1496275200
units : mm
long_name : SNIP
.......
missing_value : -9999.9
_FillValue : -9999.9
(0) Daily accumulated precipitation (combined microwave-IR) estimate -
Late Run (mm) : min=-1.88301e-12 max=595.349
To fix the minumum value I assigned :
sat_fix=sat_rain
sat_min = min(sat_rain)
printVarSummary(sat_fix)
sat_fix at _FillValue = sat_min
printVarSummary(sat_fix)
printMinMax(sat_fix,0)
But, it did not change minimum value much : Daily accumulated precipitation
(combined microwave-IR) estimate - Late Run (mm) : min=-1.42511e-12
max=595.349
num_missing_orig = num(ismissing(sat_rain))
num_missing_fix = num(ismissing(sat_fix))
print
======================================================================
(0) Number of original values that are equal to the missing value as
(0) defined on the file: 29088262
(0) Number of fixed values that are missing: 29088263
(0)
======================================================================
So, when I am using that variable against model output for RMSE , I am
getting warnings :
warning:dim_rmsd_n: 227187 rightmost sections of one or both of the input
arrays contained all missing values.
Any help on how to correct that is appreciated. I uploaded one input file
at ftp, if that helps.
Thanks
Debasish
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