Problems with soda3.3.2_5dy_ocean_reg dataset,

[gorsol]

Dear Tron:

Thanks in advance to share, maintain and support the model2roms code.

I´m try to make the ROMS forcing files with “soda3.3.2_5dy_ocean_reg” dataset, downloaded from:

http://dsrs.atmos.umd.edu/DATA/soda3.3.2/REGRIDED/ocean/

After configure the configM2R.py file, with the next parameters:

• self.time_frequency_inputdata = "5days"
• self.ocean_indata_type = 'SODA3_5DAY'
• self.fillvaluein = -1.e+20 (extracted from the downloaded dataset)

and the proper's define_ocean_forcing_data_path, define_roms_grid_path and the roms out grid stretching properties,

when I run the, runM2R.py file, there next error appear:

File "/Work/Python/model2roms/model2roms.py", line 274, in get_3d_data
str(confM2R.input_varnames[varN]), float(data.min()), float(data.max())))

UnboundLocalError: local variable 'data' referenced before assignment

I check the “get_3d funtion” in the model2roms.py file, and realize that there is not any option to mach with the “confM2R.ocean_indata_type == "SODA3_5DAY"” case. So I added the next code in the model2roms.py :

`	   if confM2R.ocean_indata_type == "SODA3_5DAY":
                data = cdf.variables[confM2R.input_varnames[varN]][0, :, :, :]
	        data = np.where(data.mask, confM2R.fillvaluein, data)_

` All runs ok, with no errors, but I’m not sure about the solution, the result files are inconsistent. Can you confirm that the added code is right? Any other suggestion?

[trondkr]

Hi,

Your code may be correct but it depends on the structure of the SODA 5 day files. Does each file only contain one tilmestep ? You are suggesting that based on the zero index for time in your slicing: [0,:,:,:]. Perhaps you could send me the structure of your file using "ncdump -h soda_filename.nc”.   Also, what suggests that the result files are inconsistent?

Cheers, Trond On Sep 24, 2021, 12:12 PM -0700, Gorka Solana @.***>, wrote:

Dear Tron: Thanks in advance to share, maintain and support the model2roms code. I´m try to make the ROMS forcing files with “soda3.3.2_5dy_ocean_reg” dataset, downloaded from: http://dsrs.atmos.umd.edu/DATA/soda3.3.2/REGRIDED/ocean/ After configure the configM2R.py file, with the next parameters:

• self.time_frequency_inputdata = "5days" • self.ocean_indata_type = 'SODA3_5DAY' • self.fillvaluein = -1.e+20 (extracted from the downloaded dataset)

and the proper's define_ocean_forcing_data_path, define_roms_grid_path and the roms out grid stretching properties, when I run the, runM2R.py file, there next error appear: File "/Work/Python/model2roms/model2roms.py", line 274, in get_3d_data

str(confM2R.input_varnames[varN]), float(data.min()), float(data.max())))

UnboundLocalError: local variable 'data' referenced before assignment

I check the “get_3d funtion” in the model2roms.py file, and realize that there is not any option to mach with the “confM2R.ocean_indata_type == "SODA3_5DAY"” case. So I added the next code in the model2roms.py : ` if confM2R.ocean_indata_type == "SODA3_5DAY":

           data = cdf.variables[confM2R.input_varnames[varN]][0, :, :, :]

           data = np.where(data.mask, confM2R.fillvaluein, data)_

` All runs ok, with no errors, but I’m not sure about the solution, the result files are inconsistent. Can you confirm that the added code is right? Any other suggestion? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.