aospy
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spencerahill
Python package for automated analysis and management of gridded climate data
I currently wish to perform averages of model variables (say condensates) on a 100-days worth of data (~100x100x50 at hourly resolution) in 10 day blocks for a base experiment, as...
C.f. https://github.com/spencerahill/aospy/pull/172#issuecomment-292574427 and subsequent comments in that thread. I think it's important to provide some guidance within our docs on how to e.g. use dask's status page and/or progressbar. This...
Similar but different to #229. If the array upon which regional reductions are being performed does not span the entire globe, then it is possible that some Regions will be...
For planetary atmospheres other than Earth's, physical constants like the gravitational acceleration and the planetary radius will be different. To accommodate results from simulations of these atmospheres, `aospy` will need...
Similar-but-different to #201 and #203. The bound arrays would be useful to have for subsequent finite volume operations. Plus it's congruent with our larger overall mission to embed as much...
The 'level' option enables the user to specify (for pressure-interpolated data) output of a single vertical level. This is just one particular kind of vertical reduction. So it shouldn't have...
- Currently, a new Calc is created for each one, and thus the data is loaded and released unnecessarily the second time. - Both require the exact same data and...
(Jotting down some quick notes on this idea for now, not necessarily well thought out) [inspect](https://docs.python.org/3/library/inspect.html#retrieving-source-code) is an amazing piece of the standard library that enables all sorts of cool...
Paraphrasing from @spencerkclark's https://github.com/spencerahill/aospy/issues/204#issuecomment-330181940; see there and previous in the thread for more. >Consider the edge case of taking the mean over days 360 to 380 of a simulation. The...
By default, the output file from an aospy calculation is named with "...start_year-end_year.nc" or simply "start_year.nc". This means that using date ranges within the same year (e.g. 5 Aug-10 Aug,...
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Python package for automated analysis and management of gridded climate data