Add Comparison GPM vs Italian/Swiss Ground Radar Network

[ghiggi]

I started to make a quick search of interesting rainy GPM overpass over Italy since 2019. We could select a couple of these events and ask for ground weather radar data from the Italian or Swiss network for analysis and comparison using xradar and wradlib.

All quicklooks can be downloaded here. Here below I showcase some interesting quicklooks (in terms of estimated near surface precipitation and reflectivity at Ku band)

Genova

Naples

Piemonte / Lake Maggiore (we could use MeteoSwiss data for these cases)

[kmuehlbauer]

@ghiggi I'll add an example on Calibration of Ground Radar with GPM.

[ghiggi]

Hey @aladinor @kmuehlbauer. I started exploring what xradar currently offers to develop a notebook for ground-based radar PPI and RHI comparison with GPM ... and then dig a bit further with wradlib utilities. I was thinking to develop tutorials using the Columbian Radar Network, NEXRAD and the Finnish network (via AWS). I might have some questions to address you on what are you planning to do in the coming weeks in terms of tutorials and what is in the roadmap in term of xradar accessor methods for xr.Dataset and xr.Datatree ...

Can we maybe set up a meeting in the coming days?

[kmuehlbauer]

@ghiggi

Yeah, good idea to coordinate.

What I had in mind is something along this notebook from our lecture series (unrendered version, single PPI matching):

https://nbviewer.org/urls/git2.meteo.uni-bonn.de/projects/radarmeteorology/repository/revisions/SS2024/raw/notebooks/Lesson_07-Satellite_Calibration/Satellite_Calibration.ipynb.raw

I'd update the notebook to use gpm-api for loading. The matching is based on wradlib under the hood.

[aladinor]

Hi @kmuehlbauer and @ghiggi,

Thank you for bringing this up. I think we can use one of these examples to create a workflow using xr.Datatree. We could structure a datatree with all the radar/GPM data in our example and then export it to Zarr. It could contain all examples, and each participant could select just one. I have a poster for ERAD that demonstrates the advantages of using datatree.

Additionally, @mgrover1 mentioned that we can host the ARCO files on the Pythia S3 Object storage. This would ensure a smooth workflow during the short course.

Please let me know your thoughts.

[mgrover1]

Agreed - let's host the zarr store on Pythia + include both in this short course, as well as the Pythia cookbook.

Here is a link to an example of accessing data on the bucket! https://projectpythia.org/lasso-those-clouds-cookbook/notebooks/LassoARMClouds.html#access-lasso-sgp-data-from-the-nsf-jetstream-cloud

Happy to help here!