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Posted Tue, 28 Jul 2015 12:29:00 GMT by Praveenkhanna Udayakumar
Hello All

I have two DFS2 files created having same geographical information, spatial axis and items, but it differs only in time step. Like, first file have datasets from 01/01/2014 00:00:00, 01/01/2014 06:00:00,... 31/12/2014 18:00:00 and second file have datasets from 01/01/2014 03:00:00, 01/01/2014 09:00:00,... 31/12/2014 15:00:00.

Is there any possiblities to merge these two DFS2 files so that it is arranged based on time step like,
01/01/2014 00:00:00
01/01/2014 03:00:00
01/01/2014 06:00:00
01/01/2014 09:00:00......31/12/2014 18:00:00
???

Thanks in Advance
-Praveenkhanna
Posted Mon, 10 Aug 2015 13:01:00 GMT by Mathieu Hellegouarch
Hi,

there is no automatic way to do that, but you can do it manually.
You have to create a new file from scratch (New file \ Grid series, and select 'Blan Grid'), where you can apply the desired date and times, and with the same spatial dimension as the existing file.

Once this file is created, yuo can load the data from the other original files, from Tools \ Copy file into data.

That should allow you to merge the files.

Best regards,
Mathieu
Posted Tue, 11 Aug 2015 06:25:00 GMT by Murali Surisetty
Hi Praveen,

There is an In-built tool to do this right away.. Use Mike Zero Toolbox --> Concatenation -->TxConc , then select your Dfs2/Dfs0/Dfs1/Dfs3/Dfsu files and then you can select your temporal subset to combine.

Hope this will help you.

Regards,
Murali
Posted Mon, 17 Aug 2015 05:01:00 GMT by Praveenkhanna Udayakumar
Thanks for your reply Mr.Murali. But that doesn't work as expected. It is just interpolating and not merging those two files.
Posted Sat, 29 Aug 2015 13:39:00 GMT by Ricardo Machado
Hello Praveenkhanna,

Mathieu is correct, you will have to do it manually but you can use and excel sheet to help you sort the data series in the correct temporal order before copying it to the blank grid. You can also use excel to eliminate repeated entries if that happens in your case.

Best regards,
Ricardo Machado

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