really a great overview about the possibilities we have with
to process data received by EUMETCAST. The detailed installation
instructions and the
scripts are very helpful to dive into the magic of "make it by
yourself" and helps a lot, as the
documentation of PyTroll lacks some more code examples. It is really
amazing that you can
have nice composites with a few lines of code! Really highly
Thank you very much for your efforts, maybe someone will now try
PyTroll under Windows or Mac OS?
But I think the 'best' platform could be Linux as it's developed
Maybe worth a try to install Linux for the first time...? ;-)
Am 13.04.19 um 10:28 schrieb Ernst
I'am back with PyTroll/SatPy for EUMETCast. Python is going to
version 3.7+ next year
and all support for Python 2.7 will end on January 1st 2020. I
have now (re-)written my
HOWTO using Python 3.7.3 on a Debian 10 (Buster, still testing)
GNU/Linux box. I attach
this HOWTO and a couple of PyTroll/SatPy scripts that produce high
quality images. It
must be noted that these scripts should run with little adaptions
under Windows with
Anaconda3 and PyTroll/SatPy installed. This means that
installation method 3 described
in my HOWTO can be used on Windows or Mc OS boxes as well. One
thing I'd like to stress
is that PyTroll/SatPy has projection library Proj under the hood.
So it is rather easy
to reproject data moving your station or any other point of
interest into the center of
the picture. With Proj more or less any map projection you can
think of is included.
I now wrote a number of scripts for polar orbiting satellites as
well. If you get
data from Metop_A/B/C, Suomi_NPP, NOAA-20 or EOS-Aqua/Terra each
of these satellites
will produce one usable pass near or over your station every day
and night. My scripts
will automatically pick up the right files to produce images of
your "personal" pass.
I have put a couple of images that can be produced on my GNU/Linux
Terra can be reached here: http://22.214.171.124:85/Pictures
PyTroll/SatPy is now slowly becomming mature and the documentation
has been improved
as well. We witness the grow up of a very professional software
tool that is already
used by many universities and national met offices 24/7. Those who
are willing to read
the documentation and climb some learning curve can be part of the
is all FOSS and the small team of core developers is responsive
and willing to help.
P.S. As my text files were written under GNU/Linux Windows users
might miss CRs at the
end of lines. If this is the case open the files with WordPad and
(re-)save them again.
And *YES* I'm still a Python dummy. Don't compare my code with
what people like Simon do.