So my questions are:

1. Is it possible to run the involved ArcToolbox functions like CopyRaster_management outside of ArcMap from command line python?

2. If not, how to avoid the crash problem?

Thanks.

-- Update --

Thanks everyone. Here's the outcome using python from the command line. The script works well except for needing a few imports like arcpy and sys. There was still a crash, but the number of processed images increased 10 fold to about 7000. This time, memory seems to be at issue, with 1.8G consumed before the crash. I am trying the 64 bit background processing as suggested.

Is it possible to run the involved ArcToolbox functions like CopyRaster_management outside of ArcMap from command line python and, if not, how do I avoid the crash problem?

Here's the outcome using python from the command line. The script works well except for needing a few imports like arcpy and sys. There was still a crash, but the number of processed images increased 10 fold to about 7000. This time, memory seems to be at issue, with 1.8G consumed before the crash. I am trying the 64 bit background processing as suggested.

I am following the accepted answer for the question: Batch converting netCDF to Raster using ArcPy?, obviously, to convert netcdfs. The code taken from the above answer (pasted below) works fine on a single NetCDF. However, if I run the same function on many .nc files by making inNetCDF variable a parameter, ArcMap breaks down. It crashes with ArcGIS 10.1 and hangs with ArcGIS 10.2.2 (on two different machines) after generating about 500 or 600 images.

--code--

I am following the accepted answer for the question: Batch converting netCDF to Raster using ArcPy?, obviously, to convert netcdfs. The code taken from the above answer (pasted below) works fine on a single NetCDF. However, if I run the same function on many .nc files by making inNetCDF variable a parameter, ArcMap breaks down. It crashes with ArcGIS 10.1 and hangs with ArcGIS 10.2.2 (on two different machines) after generating about 500 or 600 images.

--code--

-- Update --

Thanks everyone. Here's the outcome using python from the command line. The script works well except for needing a few imports like arcpy and sys. There was still a crash, but the number of processed images increased 10 fold to about 7000. This time, memory seems to be at issue, with 1.8G consumed before the crash. I am trying the 64 bit background processing as suggested.