Italia

@seb-schmied No I can't as the barani outputs are:

temperature: in Kelvin - this needs to be converted in °C or °F
pressure: real in Pa - this needs to reduced to the correct altitude (QNH)

@seb-schmied Oh I remember now:
temperature (413.844458007812 kelvin) and 338046000 pressure (that's 3.3 megapascal)

You're right in my plugin I've done the conversion.
Ok there is no choise to send pressure data via Meteohelix portal. I cannot do conversions before the JSON generation.

The barom is in pa and without the altitude correction:

# Baros
$pa_in_hpa = 0.01;
@$weather_data['baromabshpa'] = round( $weather_data['pressure'] * $pa_in_hpa, 2 );
@$weather_data['baromrelhpa'] = round(($weather_data['baromabshpa'] * pow(1 - (0.0065*$altitude) / ($weather_data['tempc'] + (0.0065 * $altitude) + 273.15),-5.257 )), 2);

Thank you for the link to check the update.

@raffaello-dimartino I tested it simulating what the website should do and it works.
The Windy server answers with: SUCCESS

@seb-schmied Thank you very much.

This JSON should be OK:

{
"stations":[
{
"station":0,
"name":"KWOS_Meteohelix_Rome",
"lat":41.9896220405185,
"lon":12.507319807809838,
"elevation":70,
"tempheight":10,
"windheight":10
}
],
"observations":[
{
"station":0,
"ts":"{timestamp}",
"tempf":"{temperature}",
"rh":"{humidity}",
"baromin":"{pressure}"
}
]
}

The web site cron is sending it every 10 minutes (just when the packet arrives from the Sigfox network).
I still not see anything here:

https://www.windy.com/station/pws-f05b0b61?41.990,12.507,8

Unfortunately, I have no feedback on any errors, since I am not the portal manager sending the POST request.

@seb-schmied oh absolutely don't worry.
The problem is:

Barani web site uses the variables with {} which can confuse the JSON.
I don't know the measure of unit requested by windy and in case are different to the barani I cannot convert to the right one.
What parameters can I upload to windy? And what are their names?

@seb-schmied Tested, but due to wrong programming, the web interface doesn't regonize the nested JSON format so it says: JSON error.

It works only with this format:

{
station:0,
dateutc:"2019-03-15T06:15:34",
temp:1.2,
wind:2.8,
winddir:189,
gust:3.7,
rh:76
}

The result is: Request failed with status code 500

I think I will manage it with my Meteotemplate plugin.
https://github.com/iz0qwm/meteohelix_scripts

@seb-schmied
Thank you if windy has similar format to wunderground it's ok.

I will try too with mine Meteohelix in Rome

Hello @ltrullem this can be done only by Barani developers.
You can try asking them.
There is a way to send data via API calls to Windy, I think this can help the Barani developers.

I will try asking to Barani, too.

Please @Korina can you help us on finding the how-to send data via API ?

Thank you.

This time I present to you a study done some time ago.

The satellite television or satellite television , is television that reaches users in broadcast or multicast by means of radio waves emitted by transmitters placed on satellites to geostationary telecommunications .

The transmitted signals are modulated on a carrier to and from the satellite. In general, the types of telecommunications satellite systems differ from each other in their technical characteristics based on the application or intended use (eg broadcasting, satellite telephony, satellite internet, radio localization and radio navigation systems).

The frequencies used for television setellite , in general, are those of the Ku band (12–18 GHz) , while those for satellite internet are usually on the Ka band (26.5–40 GHz) .

While watching a TV show, almost everyone has encountered a loss of signal during a thunderstorm. Contrary to what many believe, it is not the thickness of the cloud cover that attenuates the satellite signals but the concentration of water droplets in the atmosphere and in the clouds themselves . In practice it is the same phenomenon that manifests itself in the operation of a microwave oven. A high- frequency electromagnetic radiation (such as that generated by satellite transmissions and by the Magnetron present in the oven) produces oscillations in molecules that have polarization such as water: by increasing the motion, the energy is converted into heat and the signal becomes weaker.

The signal received from a radio source can be measured in various ways but in particular, in the world of digital radio communications, a parameter is used that takes into account the number of bits that can be transferred with that particular signal. The value of this parameter called E b / W or e for a television dish is almost always the same during the beautiful days and is dependent on the diameter, the aiming and other small factors that make it slightly oscillate around a base value.

On such high frequencies the Rain fade is very evident and there are even mathematical methods to calculate it based on the power of the emitted signal, the angle of reception of the dish and other factors. Here is a sample article on how it can affect .

The KWOS has an image receiving station of the Meteosat Second Generation using a geostationary satellite called EUTELSAT 10th to send them to the ground in broadcast. One of the software used by the system is BDADataEx which allows interfacing the tuner with the PC. This software has the logging function in which it writes the value of E b / W o many times per minute .

By monitoring this value and with subsequent processing based on checking the daily deviation of the signal or signal drops caused by the passage of the Sun, it is possible to estimate the rain rate.

Here is an example of how it compares to other rain monitoring systems .

On the same image there is also the result of another project based on the same phenomenon: Nefocast

In addition to the two Rain rates calculated from the signal of the two parabolas, as a comparison, two types of rain gauges have been chosen: double layer tilting rain gauge and a 26GHz mini radar that uses the doppler effect. In addition, the electric field is represented, which is dependent on the electric charge contained within the clouds : the greater the Kvolts / meter recorded, the greater the cumulonenbo that will pass through the survey station.

Two articles explain how to obtain the Rain Rate from the received signal attenuation:
Rainfall Detection and Rainfall Rate Estimation Using Microwave Attenuation
Rainfall measurement from the opportunistic use of an Earth – space link in the Ku band

Here the instructions

https://community.windy.com/topic/10423/how-to-add-your-webcam-to-windy?_=1606673023648