Re: geostationary satellite data

From	Robin Koch <robin.koch@t-online.de>
Newsgroups	comp.lang.python
Subject	Re: geostationary satellite data
Date	2015-12-16 19:57 +0100
Organization	albasani.net
Message-ID	<n4sc7k$90l$1@news.albasani.net> (permalink)
References	<mailman.11.1450280795.30845.python-list@python.org> <dddjs0Fevt5U1@mid.individual.net> <mailman.21.1450285692.30845.python-list@python.org> <dddlcuFg1u6U1@mid.individual.net>

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Am 16.12.2015 um 18:30 schrieb Peter Pearson:
> On Thu, 17 Dec 2015 04:08:02 +1100, Chris Angelico <rosuav@gmail.com> wrote:
 >>
>> It could be 16 bits per pixel. Without knowing a lot more about the
>> source of the image and its format, it's hard to say with any
>> certainty.
>
> Agreed.  It's annoying when an agency goes to the trouble of making
> huge datasets available online, but fails to identify the format.

http://www.cpc.ncep.noaa.gov/products/global_precip/html/README

says (among other things):

| Each record is a 9896 x 3298 Fortran array of IR brightness
| temperatures that have been scaled to fit into 1-byte by subtracting
| "75" from each datum. Therefore it is necessary for the user to add a
| value of "75" to each data value when using the data.

HTH a little,

-- 
Robin Koch

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geostationary satellite data jorge.conrado@cptec.inpe.br - 2015-12-16 13:19 -0200
  Re: geostationary satellite data Peter Pearson <pkpearson@nowhere.invalid> - 2015-12-16 17:04 +0000
    Re: geostationary satellite data Chris Angelico <rosuav@gmail.com> - 2015-12-17 04:08 +1100
      Re: geostationary satellite data Peter Pearson <pkpearson@nowhere.invalid> - 2015-12-16 17:30 +0000
        Re: geostationary satellite data Chris Angelico <rosuav@gmail.com> - 2015-12-17 04:37 +1100
          Re: geostationary satellite data Peter Pearson <pkpearson@nowhere.invalid> - 2015-12-16 17:53 +0000
        Re: geostationary satellite data Robin Koch <robin.koch@t-online.de> - 2015-12-16 19:57 +0100

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