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I have recently taken an interest in weather observation.
This fits in well with amateur radio as data from a weather station can be
fed into the global APRS tracking system which I have been doing for some time now.
Cumulus weather software automatically uploads the data to DigitalHam - display weather
The other radio related aspect is receiving weather satellite
pictures. I made a start on this for the NOAA satellites on 137MHz.
Pictured above is the temporary crossed dipole and reflector turnstile
antenna which I quickly bodged together to get working. It was mounted on the pole
which carried my dual band 2m 70cm colinear. The colinear temporarily
served as a second antenna for the satellite receiver where it worked well
at the start and end of satellite passes - initially it seemed to receive low elevation signals
better than the turnstile but I later realised that it was mostly receiving noise.
A satellite receiving antenna I made later is pictured on the left (a QHA and a turnstile). This too is now defunct as I damaged it when moving the station.
To the right is the Watson W-8681 weather station which is reviewed in the equipment section.
Details on my satellite receiving equipment and the replacement antenna construction
are now on the site.
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NOAA 17 Problems February 2010
Shortly before I restarted recording NOAA APT weather satellite images NOAA 17 developed a scan motor fault. NOAA attempted
a software fix in early March but many of its images are still corrupted by the fault. There is no doubt still good scientific
information that can be gleaned from the corrupted images but as their inclusion ruins composite images I have reluctantly decided
to exclude them. I will continue to monitor images recorded by other stations and reinstate recording of NOAA 17 passes if the problem is fixed
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Corrupted NOAA 17 image (MCIR + precipitation enhancement)
Telemetry uncropped. Corrupt channel ruins entire image.
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Corrupted NOAA 17 image (Pristine enhancement)
Telemetry uncropped. Corrupt channel appears separately.
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43% of all statistics are worthless.