Dear Bingxin,

Thank you very much for your interest in this work and I'm sorry for the slow 
reply - I have been travelling this week.

Unfortunately I am not able to redistribute these datasets due to licensing 
issues. However, you can get some of them direct from the data supplier.

For ORCA025, you can download data files from MyOcean. Go to www.myocean.eu and 
search the catalogue for "GLOBAL_REANALYSIS_PHYS_001_010" (as a keyword). This 
dataset uses the same curvilinear grid as the one I tested (the data values may 
be different but this isn't important). You will need to register with MyOcean 
to download data though.

You could see if you can download some METEOSAT data from EUMETSAT. I'm not 
sure how to do this I'm afraid.

For the "UCA" dataset, this is a very small dataset and may not be very 
interesting. It was provided to me by a colleague but I don't think I can pass 
it on.

You could email the Climate and Forecast community mailing list 
([email protected]) and ask if anyone has any curvilinear datasets they 
could share with you.

Good luck!

Best wishes,
Jon

-----Original Message-----
From: [email protected] [mailto:[email protected]] 
Sent: 11 September 2013 06:00
To: [email protected]
Subject: Datasets for "Fast regridding of large, complex geospatial datasets"

Dear Dr. Blower,

I am a fresh PhD student in Computer Science from National University of 
Singapore (NUS). I am now studying regridding algorithms, which are new to me.

I have read your paper 'Fast regridding of large, complex geospatial datasets', 
and would like to apply some techniques in the paper. It would be nice for me 
to work on real datasets, such as the ones used  in your study (UCA, ORCA025, 
METEOSAT).

I wonder if these datasets are publicly available to download or I could apply 
some permission to use part of it.

Thank you for your time reading the email.

Actually I have sent you the above email several days ago, but you did not 
reply. So I send it again just to remind you. I am looking forward to your 
reply soon and thanks a lot.

Best Regards,
Bingxin
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