ACT
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ARM-DOE
Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets
Investigate different methods for QA/QC as applied to aerial data along with improved visualizations that could be incorporated into ACT in support of aerial data.
After a discussion on the ACT call, we decided that it would be best to migrate radar/lidar data readers such as the mpl.py to xradar and then utilize xradar to...
Pie charts are helpful when working with aerosol data. We should have this functionality in ACT.
In order to get more interest from the aerosol community, it would be beneficial to incorporate aerosol data into ACT examples and in the ARM-Notebooks area.
### Description During the 2023 ARM-ASR Joint PI meeting, suggestions for additional IO were provided by the audience. Connor Flynn (OU) had a suggestion of the HySPLIT back trajectory files...
xarray provides powerful [resample](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.resample.html) and [groupby](https://docs.xarray.dev/en/stable/getting-started-guide/quick-overview.html#groupby) methods for transforming data onto a target coordinate grid, but it has no concept of QC variables so any transformations applied (e.g., mean, nearest)...
While support for input of ICARTT formatted files has been created, support for writing ICARTT formatted files is needed for collaboration with airborne platforms.
There was a user question about some of the ACT documentation. In the [User Guide](https://arm-doe.github.io/ACT/userguide/usage.html), towards the bottom on downloading data from the ARM archive, it notes that they need...
It would be beneficial to add a feature to allow a shared x axis for plots, especially for the time-series plots.
It would be beneficial to add in a function that summarizes the QC in an object (0=good, 1=indeterminate, 2=Bad)...