[TangerineSDR] Indian Lightning Detection Network Launched
Jonathan
emuman100 at gmail.com
Tue Jun 21 09:53:03 EDT 2022
Hi All,
A new lightning detection network has launched, hosted by the Centre for
Lightning and Thunderstorm Studies (CeLTS), Department of Physics, Tripura
University, India. The website can be found here <https://ildn.in/imap.php>.
The network utilizes six VLF receivers and vlfrx-tools, specifically the
vttoga and vtspot utilities.
A minimum of five VLF receivers are required for accurate stroke solutions.
vttoga produces TOGAs (time of group arrival) from timestamped VLF
spectrum data and can be configured to detect sferics based on band,
amplitude, and scoring based on signal parameters of the sferic.
vtspot computes stroke solutions based on TOGA data from multiple
receivers. Due to the model it uses, very distant strokes do not have the
most accurate solutions, but in the case of this new network, it works
quite well.
On the website, you can click on the specific stroke and get
various information. Here is an example:
StrokeID: 13015001 UT: 2022-06-21 11:17:27.475216 Lat/lon: 17.434,88.963
site | ut_timestamp | rms | te | imprat | ascore
| dist | delay | vf
------+----------------------------+---------+------+--------+--------+--------+----------+--------
KK | 2022-06-21 11:17:27.477204 | 0.04721 | 5.4 | 98.4 | 0.40
| 574.8 | 0.001988 | 0.9638
T2 | 2022-06-21 11:17:27.477751 | 0.02712 | 1.1 | 71.2 | 0.67
| 743.1 | 0.002535 | 0.9771
VW | 2022-06-21 11:17:27.47827 | 0.01116 | -3.1 | 98.3 | 0.92
| 901.5 | 0.003054 | 0.9840
DG | 2022-06-21 11:17:27.479491 | 0.01633 | -1.9 | 25.2 | 0.89
| 1268.8 | 0.004275 | 0.9893
TV | 2022-06-21 11:17:27.480431 | 0.00742 | 1.4 | 78.9 | 0.81
| 1550.2 | 0.005215 | 0.9909
AJ | 2022-06-21 11:17:27.481203 | 0.02054 | -2.9 | 30.8 | 0.32
| 1783.0 | 0.005987 | 0.9927
(6 rows)
You can see the coordinates of the stroke as well as the TOGA, and various
parameters of the receiver site's sferic, like RMS amplitude, velocity
factor, timestamp, distance, delay, and ascore, a parameter that awards a
score to a sferic according to how "sferic-like" it is.
Using a network of VLF receivers and Whistler Catcher LEAF modules for the
Tangerine SDR, I plan on creating a lightning location network just like
this one. The good thing is, you don't need a Whistler Catcher as you can
use a soundcard and PC/Raspberry Pi with GPS module right now. There is
some setup and technical work involved and you have to be in a rural
location, but it is possible to have a VLF receiver contributing to stroke
solutions. Let me know if you'd like to contribute.
Jonathan
KC3EEY
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