Yesterday I received an email from NOAA (I’m on their “tester” list) about some tests on GOES-16 that will happen this week. Before I start talking about what will be the tests I want to be clear that GOES-16 is NOT operational yet and any data received from the LRIT/HRIT downlink are test only data. This means the user of that link assumes all risks related to the use of their data and NOAA disclaims and any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose.
So this week ( from 27th to 31th march ) HRIT will go into a new test phase that will send out DCS, Environmental Messages and charts through. They also will send from 16h to 20h UTC on Monday (27th) some CMI (Cloud and Moisture Imaging) data. That might be interesting for anyone that have a 1.5m+ dish that can run Linear Polarization at 1694MHz and be interested in trying out the super-alpha version of OpenSatelliteProject, that is already compatible to HRIT.
Please keep in mind that while OSP does support HRIT, it doesn’t mean it will support the new products coming out from HRIT link. They’re currently testing sending NetCDF files over HRIT, and so far OSP doesn’t support those. In normal case (no bugs) the output product should be stored in a folder named Unknown with the filename provided by NOAA. Regardless of that I will be trying to record the IQ / decoder output in the CMI period and run the OSP over all week in GOES-16.
While running in GOES-16 the Twitter / Instagram bots will not be outputing any GOES-13 data (sadly I only have one dish so far) but may output the products from GOES-16.
Some usefull links for you if you’re interested in more information:
In the last chapter of my GOES Satellite Hunt, I explained how to obtain the packets. In this part I will explain how to aggregate and decompress the packets to generate the LRIT files. This part will be somwhat quick, because most of the hard stuff was already done in the last part. Sadly the decompression algorithm is a modified RICE algorithm, and the Linux version of the library provided by NOAA cannot be used anymore because of incompatibilities between GCC ABIs ( The NOAA library has been compiled with GCC 2). Until I reverse engineer and create a open version of the decompression algorithm, I will use the workaround I will explain here.
In the last chapter I showed how to get the frames from the demodulated bit stream. In this chapter I will show you how to parse these frames and get the packets that will on next chapter generate the files that GOES send. I will first add C code to the code I did in the last chapter to separated all the virtual channels by ID. But mainly this chapter will be done in python (just because its easier, I will eventually make a C code as well to do the stuff).
In the last chapter of GOES Satellite Hunt, I explained how I did the BPSK Demodulator for the LRIT Signal. Now I will explain how to decode the output of the data we got in the last chapter.
One thing that is worth mentioning is that most (if not all) weather satellites that transmit digital signals use the CCSDS standard packet format, or at least something based on it. For example this frame decoder can be used (with some modifications due QPSK instead BPSK) for LRPT Signals from Meteor Satellites (I plan to do a LRPT decoder as well in the future, and I will post about it). I will not describe my entire code here, just the pieces for decoding the data. I will also not write the entire code here, since it can be checked in github. So before start see the picture below (again). We will some info from it as well.
In the last episode of my GOES Satellite Hunt I explained how I manage to build a reception system to get the GOES LRIT Signal. Now I will explain how to get the packets out of the LRIT signal. I choose the LRIT signal basically because of two reasons:
It contains basically all EMWIN data + Full Disks from GOES 13 and 15.
Less complexity on the demodulator side (Simple BPSK Demodulator)