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SciTools
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
configuration, distributed scheduling etc Promote dask/distributed Demo efficient approaches for large-scale processing ```[tasklist] ### Tasks - [ ] https://github.com/SciTools/iris/pull/5190 - [ ] https://github.com/SciTools/iris/issues/5344 ```
## 📰 Custom Issue Hi guys, a variation on the theme of concatenation/merge on which there are a few issues already open - it'd be nice if iris handled scalar...
Aims to address #3333 N.B. there is a reference docs-build [here](https://pp-iris.readthedocs.io/en/nc_chunk_control/generated/api/iris/fileformats/netcdf.html#iris.fileformats.netcdf.ChunkControl) that shows the API Still a bit preliminary, testing and documentation probably need more doing. But here it is...
## 🚀 Pull Request ### Description Addresses the remaining comments for #3637. Does this by having all derived coordinates now derive from their equivalent coordinates in the aggregated cube. ---...
## 🐛 Bug Report Iris pp save rules result in a LBLEV of 0 for a surface field (i.e. all the non-zero values are gated behind a check for a...
## 📰 Custom Issue On our Iris [documentation ](https://scitools-iris.readthedocs.io/en/latest/) there is a **SUPPORT** section in the **sidebar** with links to: - [Users Google Group](https://groups.google.com/forum/#!forum/scitools-iris) - **14** topics posted so far...
## ✨ Feature Request Make custom statistic return a tuple rather than a scalar. MISSION, store a vector of threshold exceedances of increasing duration at each gridpoint in liew for...
Prompted by my difficulties reviewing #4905 Because basically _all_ of the aggregator code, is just **so complicated !!** * The interface between aggregators and the cube aggregation methods (collapsed/aggregated_by/rolling_window) splits...
Code clarity improvement, See #3725
## 🐛 Bug Report I have a collection of files containing the same diagnostics but different times (output from the UM). I can load all of the times into one...
