Using SQLite and Python to Store Model Metadata

tmoore — Sun, 17 Jan 2010 19:34:00 +0000

As I continue to run a range of climate models, I've learned from painful lessons that I need to record as much information about the model run as possible. When I first started this process, I simply kept files used to make the run (the geography and configuration files for the model) and the model output. At first, this seemed sufficient because, in the end, these were the data that were most important. As it turns out, however, that having a history of everything you did during the model run, such as adjustments to the settings or geography, is also important both historically to the run and possibly sorting out problems later.

Climate model on a mac project: #14 Knowing when you quit...

tmoore — Mon, 14 Jul 2008 06:02:00 +0000

When not using a scheduler like Torque/PBS, it can be complicated to find out whether the model has quit. If the run was successful, you can have a reasonable idea when it SHOULD quit, but it might crash long before that time. As a result, you've lost hours, if not days, of computing time.

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Using SQLite and Python to Store Model Metadata

Climate model on a mac project: #14 Knowing when you quit...