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Python framework for short-term ensemble prediction systems.

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As a further improvement, during the upgrade to version 2.0 you could consider migrating from `setuptools` to `Poetry` for dependency management. Related to #224

Hi everyone, I don't know if the topic has already come up but I would suggest splitting the library into multiple components (eg: core, visualization, etc.) so that you can...

This new version maybe is a good opportunity to change the pystepsrc parameter file format. Although the JSON configuration file does the job, [it has a few disadvantages](https://www.lucidchart.com/techblog/2018/07/16/why-json-isnt-a-good-configuration-language/). A better,...

Now, the pySTEPS tests are mostly done by running the examples. It is a good idea to implement scripts that test different functions. A good and simple testing framework is...

enhancement

The [ODIM format](https://www.eumetnet.eu/activities/observations-programme/current-activities/opera/) is quite flexible and it would be useful to adapt the importer to take at least some of this flexibility into account (e.g. custom accumulation time). We...

Original report ---------------- (by Valentina Gregori) > I also noticed another small issue (already in the previous version of pysteps). When I do a conversion to reflectivity using the function...

discussion

It would be good to give an option that allow a quiverkey (legend) to be added to motion fields, otherwise it would be difficult to accurately read speed from motion...

good first issue

Hello, I wonder if there is a method to get the longitudes and latitudes of all grid points. From this code: importer = io.get_method(importer_name, "importer") Z, _, metadata = io.read_timeseries(fns,...

good first issue
support

Are you interested in migrating all log messages from the simple `print` to the more standard `logging` module? Given the high number of logs that the outputs are written I...

enhancement
discussion

The pysteps.timeseries.autoregression module implements only a very basic version of the AR(p) model. More advanced time series models and parameter estimation methods could be implemented. For instance: 1) Some users...

enhancement
discussion