[Incubator] motion: wradlib application / community module

[Jody Garnett]

Thanks Kai, as indicated this osgeo community program does not require a
mentor and may be an easier way to get started at osgeo.

There is some details on the website
<https://www.osgeo.org/about/committees/incubation/> and in presentations
<https://www.slideshare.net/jgarnett/open-source-practice-and-passion-at-osgeo>,
and we are happy to answer any questions.

On Wed, Feb 13, 2019 at 2:05 AM Kai Muehlbauer <kai.muehlbauer at uni-bonn.de>
wrote:

> Dear colleagues,
>
> I'm Kai one of the wradlib developers and I'm referring to the recent
> update on ticket:
> https://trac.osgeo.org/osgeo/ticket/1644
>
> and the reference on this list here:
> https://lists.osgeo.org/pipermail/incubator/2019-February/003773.html
>
> Much has happened in the recent 3 years. For sure, you'll notice that we
> made the step over release wradlib 1.0.
> https://wradlib.org/2018/04/wradlib_release_1_0_0/ to the current
> wradlib is at version 1.2.
>
> The user base is growing as the questions on the wradlib-users list
> indicate.
>
> So, yes we are happy to discuss osgeo community program as proposed in
> the ticket comment.
>
> Best regards,
> Kai
>
> Am 30.08.16 um 12:40 schrieb Maik Heistermann:
> > Dear colleagues,
> >
> > I am Maik, one of the wradlib developers. I certainly do not want to
> > interfer with your internal discussion. I just noticed Bruce Bannerman's
> > message, and I would like to briefly respond in order to maybe clarify
> > one or two issues.
> >
> > First of all, thank you very much for considering this request, and also
> > for sharing your concerns.
> >
> > However, the ideas outlined in the mentioned GRASS wiki article [1]
> > relate to the analysis of SAR images (airborne or spaceborn) which are
> > concerned with the radar-based exploration of the earth surface.
> > wradlib, in contrast, is concerned with the analysis of weather radar
> > observations for exploring atmosperic properties (mostly rainfall) in 2
> > or 3 dimensions. The underlying analytical framework differs in wide
> > parts as we need to understand the propagation of the radar beam and its
> > interaction with the atmosphere. The target variables (e.g.
> > precipitation intensity, wind speed, state of matter) fundamentally
> differ.
> >
> > I fully agree to avoid re-inventing the wheel. wradlib was in fact
> > motivated by that very ambition. To my knowledge, it was the first
> > published Open Source effort to this end. Meanwhile, other Open Source
> > packages ([2], [3]) have been published, and we are closely cooperating
> > with these projects in order to enhance inter-operability and
> > harmonisation [4].
> >
> > Still, wradlib tries to build on existing packages as good as possible,
> > so we make in fact heavy usage of gdal for georeferencing and raster
> > processing, but also of e.g. numpy, scipy, netcdf4 and h5py.
> >
> > I hope this response helps to better understand the rationale behind
> > wradlib. Again, I would like to thank you for taking the time to
> > scrutinize our request to become an OSGeo community project. I am
> > looking forward to your decision.
> >
> > Kind regards,
> > Maik
> >
> > [1] https://grasswiki.osgeo.org/wiki/Radar_data_processing
> > [2] http://arm-doe.github.io/pyart/
> > [3] http://git.baltrad.eu/
> > [4] http://openradar.github.io/
> >
> >
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