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Cannot Create Forcing Data #1
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Did you run this with data from the release artifacts? |
Short term work around, I've uploaded a forcing artifact you can extract to skip this processing step: https://github.com/hellkite500/adhydro-training/releases/tag/v0.0.3-alpha |
Ah, I assumed the only thing missing was the superfile. I'll try again with the new data. |
I was able to to use the preprocessed forcing data. I got down to the simulation step and it failed. I got a bunch of errors about groundwater variables not being set. I may try to start from scratch. Maybe I missed a step. |
From a fresh setup, a separate, yet maybe related error multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/opt/conda/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/opt/conda/lib/python3.7/multiprocessing/pool.py", line 44, in mapstar
return list(map(*args))
File "/scripts/forcing/nwm/nwm_2.0_to_adhydro.py", line 238, in getVarMP
meshDataArray[ var_index , mesh.index[0]:mesh.index[-1]+1] = result['mesh'].loc[var].values
UnboundLocalError: local variable 'meshDataArray' referenced before assignment
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/scripts/forcing/nwm/nwm_2.0_to_adhydro.py", line 593, in <module>
results = pool.map(partial(getVarMP, minRow=minY, maxRow=maxY, minCol=minX, maxCol=maxX), chunks )
File "/opt/conda/lib/python3.7/multiprocessing/pool.py", line 268, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/opt/conda/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
UnboundLocalError: local variable 'meshDataArray' referenced before assignment |
On Step 2 of Preconditioning, I receive the following error.
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