error 72: floating overflow

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Jane

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Dec 17, 2013, 8:03:54 AM12/17/13
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Hello,

I have a problem with calibrating my swat project. I am using the latest SWAT Version 2012 and SWAT CUP 5.1.5.4

Unfortunately the SUFI2_Run.bat produces the error 72: floating overflow. I tried to calibrate different parameter but SWAT CUP  always produces the same error. Sometimes it occurs after the first run and sometimes later. I will be thankful for any recommendations to solve this problem.

Jana




Kerem Güngör

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Dec 17, 2013, 11:07:52 AM12/17/13
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Jana

I ran into the same problem. It happens when you use wide ranges for your parameters in your par_inf.txt file. Please check other posts in this user group regarding the overflow errors. They will help you on addressing this problem.

Also, would you be willing to upload the par_inf.txt here? I would like to take a look at it.

Best,

Kerem

Jane

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Dec 19, 2013, 4:27:14 AM12/19/13
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Hi Karem,

I thought of that to and ran the model with only one parameter (CN2) and the problem still occurs. With the SWAt 2009 Version I ran the same project and there it worked...
I attached my par_inf.txt.

Thanx,

Jana
par_inf (2).txt

Kerem Güngör

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Dec 19, 2013, 1:37:08 PM12/19/13
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Hi Jana,

I contacted with SWAT support team when I had my problem and they told me that SNO50COV.bsn should not exceed 0.918999. Otherwise, the model fails to run.
I checked your par_inf file and saw that you allowed SNO50COV to exceed the value I gave above by selecting SNO50COV maximum value as 1. This might be the reason why SWAT2012 failed. 

You say SWAT2009 worked fine with the par_inf you gave me. It looks like you don't have to seek a solution to this problem any more. But I still recommend not to use very wide ranges (such as the values given for the parameters in the ABSOLUTE_SWAT_Values.txt) for the parameters. Otherwise, you might run into another floating overflow problem.  

Kerem

Jane

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Dec 20, 2013, 4:40:09 AM12/20/13
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Hi Karem,

thank you very much for your help. I had another idea. I replaced the swat.exe in swat cup with the latest revision and now it seems to work. But I will also decrease the ranges.


Am Dienstag, 17. Dezember 2013 14:03:54 UTC+1 schrieb Jane:

Iswor Bajracharya

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Apr 9, 2014, 8:28:09 AM4/9/14
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Dear Karem , 

I am also facing exactly the same problem and I went through over all the threads and done accordingly but all in vein.  I am using MWSWAT2012 and latest SWAT-CUP 5.1.5.4. My basin area is about 52000 km2 and I have 680 sub-basins and 2448 number of HRUs. Is this problem due to my large basin area?

I have attached herewith my error file and other files too . Please provide me your experience to solve this problem.

I will be waiting for your prompt reply.

Thanking you.

Sincerely
Iswor
SWAT-CUP Error.docx
Par_inf.txt
SUFI2_extract_rch.txt

jens.ha...@googlemail.com

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Aug 7, 2014, 5:54:01 AM8/7/14
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Hi Iswor,

I have the very same problem as you. Have you found a way to solve it?
I will try to implement the new SWAT2012.exe into SWAT-CUP.

Thanks for responding!
Jens

Madusanka Thilakarathne

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Aug 8, 2014, 5:58:40 AM8/8/14
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I tried it then the error disappeared, but still the program has stuck in "variable #1" 
Please can anyone help ?

Janne Helin

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Aug 19, 2014, 6:37:25 AM8/19/14
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Hmmm... I was facing the same problem. The ideas for a solution are quite diverse.  Replacing both C:\Program Files (x86)\SWAT-CUP\ExternalData\SourceData\SWAT2012_x86 and C:\Program Files (x86)\SWAT-CUP\ExternalData\SourceData\SWAT2012_x64 SWAT .exe files and then starting a new calibration project worked for me. The problems with snow cover are interesting though since prior work would indicate that I should focus on calibrating the snow melt coefficient (and curve numbers).

-Janne Helin
University of Helsinki
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
...

pj...@stanford.edu

unread,
Aug 20, 2014, 12:57:18 PM8/20/14
to swat...@googlegroups.com
Hi Madusanka,

Generally when the system gets stuck on "variable #1" that means it's something in the SWAT-CUP extraction: first the SWAT model is run (which seems to work fine in this case), then SWAT-CUP extracts variables for comparison with the calibration data. This error generally means that you have something inconsistent between the extraction settings and the model run settings. So I'd look over the extraction files (both observed and non-observed) in SWAT-CUP for anything inconsistent with the model run.

Best,
James

Jochen

unread,
Sep 1, 2014, 11:26:22 AM9/1/14
to swat...@googlegroups.com
I am facing the same Problem. In my model (Simulation time = 18 years), SWAT runs until year 17 and in year 18 the error appears. I don't know how to handle it.

Best regards
Jochen


Am Dienstag, 17. Dezember 2013 14:03:54 UTC+1 schrieb Jane:
<img style="" 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
...

Karim

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Sep 1, 2014, 2:39:04 PM9/1/14
to swat...@googlegroups.com
Probably your timing is wrong somewhere... Look at files in Echo for clues...
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jens.ha...@googlemail.com

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Sep 2, 2014, 4:00:18 AM9/2/14
to swat...@googlegroups.com
Hi,

I were facing the same problem. I solved it for me by using no warm up period.

But now I have a new Problem resulting maybe form the Linux executable:
By running the SWAT2012 executable in Linux I receiving this error:
forrtl: error (74): floating underflow

In previous posts on this Error were connected to values in the dataset with are very near to zero.

But in my case it worked in windows 7, very well with the latest executables of SWAT2012 (debug and "normal").

However, I have to run it under Linux on a cluster computer for calibration. It would be fine If someone have a solution or hint on that problem.
It would also help to get an older SWAT2012 Linux version (or debug version), so I can test on this error.

I already posted this in the SWAT-user Group but maybe some one here have a solution or hint on this.

Thank you very much in advance!
Jens


Am Montag, 1. September 2014 20:39:04 UTC+2 schrieb k_abb...@yahoo.com:
Probably your timing is wrong somewhere... Look at files in Echo for clues...

On Sep 1, 2014, at 8:26, Jochen <Jochen....@gmx.de> wrote:

I am facing the same Problem. In my model (Simulation time = 18 years), SWAT runs until year 17 and in year 18 the error appears. I don't know how to handle it.

Best regards
Jochen

Am Dienstag, 17. Dezember 2013 14:03:54 UTC+1 schrieb Jane:
Hello,

I have a problem with calibrating my swat project. I am using the latest SWAT Version 2012 and SWAT CUP 5.1.5.4

Unfortunately the SUFI2_Run.bat produces the error 72: floating overflow. I tried to calibrate different parameter but SWAT CUP  always produces the same error. Sometimes it occurs after the first run and sometimes later. I will be thankful for any recommendations to solve this problem.

Jana



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
...

deejay

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Jun 19, 2015, 12:31:44 PM6/19/15
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I also had the same error with SWATCUP 5.1.6.2 .. What I did was jus replace the SWAT.exe in the project folder with SWAT2012.exe and renamed it back to SWAT.exe. Runs well but it gets stuck on variable 1. Can anyone help me on this? 
Hope this helps. 

Cheers
...

deejay

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Jun 19, 2015, 1:07:18 PM6/19/15
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Another issue I observed was that, the model doesnt get stuck if I reduce the simulation years to 3.. I ran the model from 2007 to 2010 and now it works like a charm .. it got stuck at variable 1 while running form 2007 to 2014...  Can anyone shed some light into this? The model now runs well with SWAT.exe replaced with newest revision of SWAT. The issue of the years persists,

Thanks in advance..


On Tuesday, December 17, 2013 at 6:48:54 PM UTC+5:45, Jane wrote:
...

Abbaspour, Karim

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Jun 20, 2015, 10:44:19 AM6/20/15
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Your most likely have a mistake with your timing… Check files in Echo for a hint

Karim

--

deejay

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Jun 23, 2015, 4:39:32 AM6/23/15
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Thank you sir. Checked the timings.. It works now. I had 212 days in the last year of simulation. 
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