[Paraview] Dilation Operation ...

[Niklas Röber]

Hi Ken,

thanks for the reply. From your suggestion, I was playing more with the 
different output types available, and I am not sure why, but it works 
now. If I read the data using spherical coordinates checked and the 
output type set to image, the data is actually read in as 2D lon/lat 
representation, but with the data represented as cells and not as 
points. I always believed that with the spherical coordinate settings 
checked, the output would be represented on a sphere, but its obviously 
not. Good for me. Thanks again.

Cheers,
Niklas

> Niklas,
>
> My first question is, are the data actually being read in as a point data field or a cell data field? If you go to the Information panel, what does it say the data are?
>
> I'm not at my computer to check this, but I believe that if you read data as a lon/lat projection, the mesh is most likely read as a 2D "image", and if so, that is rendered with the "slice" representation. If that's the case, can you try changing the representation to "surface"?
>
> -Ken
>
> Sent from my iPad
>
>> On Jul 5, 2017, at 7:10 AM, Niklas Röber <roeber at dkrz.de> wrote:
>>
>> Dear All,
>>
>> I have a very low resolution netCDF that I would like to visualize as cell data using lon/lat projection. Reading the data using lon/lat projection, the variables are represented as point data (image1). If the data is read in spherical, the variables are represented as cell data (image2). Comparing both, shows that some features are missing in the lon/lat projection, see for example central America and Spain. Applying a PointDataToCellData filter to the point data in lon/lat smoothes these features away completely (image3).
>> Is there a possibility to visualize the data correctly, as shown with spherical projection, but in lon/lat? Or can the point data somehow be dilated so that central America and half of Europe are not "filtered" out?
>>
>> Thanks for any help!
>> Cheers, Niklas
>> <image1.png>
>> <image2.png>
>> <image3.png>
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-- 
______________________________________________

Dr. Niklas Röber
Visualisierung
Abteilung Anwendungen

Deutsches Klimarechenzentrum GmbH (DKRZ)
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