That's funny as this name is a contraction of Zambra and Negretti. Follow my instructions on www.instructables.com/Negretti-Zambra-Pocket-Weather-Forecaster/ to make one yourself.
Hello from Ukraine and the city of Dnipro. Once I used your Zambretti algorithm guide, making it out of cardboard and paper. Sometimes it predicted correctly, sometimes not, but that's not your fault. Then I studied years of weather reports from my town's weather station and analyzed them, looking for different parameters and relationships between them. If you want to know the weather forecast, simply check the pressure given at sea level. If it is above 760 mmHg or 1013.25 hPa, the weather will be sunny. If it is below, it will be rainy. This value is not just an average, but a median, which means it has mathematical robustness. As for the fact that the pressure drops or rises, I found no direct correlation between this phenomenon and rainfall! Rain can occur both when the pressure drops and when it rises, and I have experienced this firsthand. However, very low pressure statistically resulted in rain in 100% of observations, while very high pressure resulted in 0% of observations. But a prolonged drop in pressure eventually leads to low values, and consequently, to precipitation.
sure, that's the first thing, If you only would look for a single value you forecast might be fine, but the challenge is to make it better and use basic meteorological knowledge. A passing low pressure area has some characteristics. Falling and rising pressure is already a great improvement. Many barometers have therefore an option to compare the pressure with previous measurements. The barometers with a dial, almost always have a little knob in the center to rotate a little pointer to the current pressure. When you look at it later you can see if pressure is falling or rising. The zambretti forecaster uses that info. Incorporating the wind direction is another great improvement. And you'll get a little improvement from the difference between summer / winter. Perhaps you have gathered enough data to optimize for these parameters as well.
@@illusionmanager I intentionally took data over a very long period of time, spanning several years. These data were collected by meteorologists every 3 hours and entered into a database. As a result, I have a table of 48,675 entries for each parameter! I analyzed pressure, temperature, wind, and humidity. However, pressure had the highest reliability. All other parameters did not show any obvious correlation with rainfall. In addition to pressure, I can cautiously recommend using relative humidity to forecast precipitation if it exceeds 75%. However, it can change very quickly before rainfall and not every sensor can detect it. It is preferable to use an Assman psychrometer with forced aspiration for such measurements. This way, an accurate result can be obtained in 2-3 minutes. Other sensors are likely to have greater errors.
@@НикитаШуйский-и4ж That's a good amount of data, but surely you should be able to find in that data, that when pressure suddenly drops that you are likely to have rain and things like that.
@@illusionmanager It should also be taken into account that atmospheric pressure has a diurnal variation. It rises and falls twice a day at certain times. To determine whether the pressure is rising or falling, it must be compared to the difference in readings over a day. This can be used to make long-term weather forecasts for 3-4 days. However, if the pressure does not have time to become low during this time, there will be no precipitation, even if it is decreasing.
@@НикитаШуйский-и4ж unless you live in the tropics the diurnal variation is less than 1mbar, not enough to make a significant change. a 1mbar change in pressure, during 3 hours is probably just considered "steady" and not falling or rising. Changes in atmospheric pressure often, but not always, predict the weather. Falling pressure suggests that a low-pressure zone with wet, stormy weather is moving your way. Rising barometric pressure is often, though not always, a sign that the weather will soon clear and turn fair and sunny. You should be able to find that in your data.
i made an instructable. Have a look here www.instructables.com/Negretti-Zambra-Pocket-Weather-Forecaster/ it has all the images you need to make one yourself
Dude, my last name is Zambretti! I've never heard of that, so cool
That's funny as this name is a contraction of Zambra and Negretti. Follow my instructions on www.instructables.com/Negretti-Zambra-Pocket-Weather-Forecaster/ to make one yourself.
Hello from Ukraine and the city of Dnipro. Once I used your Zambretti algorithm guide, making it out of cardboard and paper. Sometimes it predicted correctly, sometimes not, but that's not your fault.
Then I studied years of weather reports from my town's weather station and analyzed them, looking for different parameters and relationships between them.
If you want to know the weather forecast, simply check the pressure given at sea level. If it is above 760 mmHg or 1013.25 hPa, the weather will be sunny. If it is below, it will be rainy.
This value is not just an average, but a median, which means it has mathematical robustness.
As for the fact that the pressure drops or rises, I found no direct correlation between this phenomenon and rainfall!
Rain can occur both when the pressure drops and when it rises, and I have experienced this firsthand.
However, very low pressure statistically resulted in rain in 100% of observations, while very high pressure resulted in 0% of observations.
But a prolonged drop in pressure eventually leads to low values, and consequently, to precipitation.
sure, that's the first thing, If you only would look for a single value you forecast might be fine, but the challenge is to make it better and use basic meteorological knowledge. A passing low pressure area has some characteristics. Falling and rising pressure is already a great improvement. Many barometers have therefore an option to compare the pressure with previous measurements. The barometers with a dial, almost always have a little knob in the center to rotate a little pointer to the current pressure. When you look at it later you can see if pressure is falling or rising. The zambretti forecaster uses that info. Incorporating the wind direction is another great improvement. And you'll get a little improvement from the difference between summer / winter. Perhaps you have gathered enough data to optimize for these parameters as well.
@@illusionmanager I intentionally took data over a very long period of time, spanning several years. These data were collected by meteorologists every 3 hours and entered into a database. As a result, I have a table of 48,675 entries for each parameter!
I analyzed pressure, temperature, wind, and humidity. However, pressure had the highest reliability. All other parameters did not show any obvious correlation with rainfall.
In addition to pressure, I can cautiously recommend using relative humidity to forecast precipitation if it exceeds 75%. However, it can change very quickly before rainfall and not every sensor can detect it. It is preferable to use an Assman psychrometer with forced aspiration for such measurements. This way, an accurate result can be obtained in 2-3 minutes. Other sensors are likely to have greater errors.
@@НикитаШуйский-и4ж That's a good amount of data, but surely you should be able to find in that data, that when pressure suddenly drops that you are likely to have rain and things like that.
@@illusionmanager It should also be taken into account that atmospheric pressure has a diurnal variation. It rises and falls twice a day at certain times. To determine whether the pressure is rising or falling, it must be compared to the difference in readings over a day. This can be used to make long-term weather forecasts for 3-4 days. However, if the pressure does not have time to become low during this time, there will be no precipitation, even if it is decreasing.
@@НикитаШуйский-и4ж unless you live in the tropics the diurnal variation is less than 1mbar, not enough to make a significant change. a 1mbar change in pressure, during 3 hours is probably just considered "steady" and not falling or rising. Changes in atmospheric pressure often, but not always, predict the weather. Falling pressure suggests that a low-pressure zone with wet, stormy weather is moving your way. Rising barometric pressure is often, though not always, a sign that the weather will soon clear and turn fair and sunny. You should be able to find that in your data.
Hello. Can you tell me where you can get drawings of the arrangement of letters and numbers?
i made an instructable. Have a look here www.instructables.com/Negretti-Zambra-Pocket-Weather-Forecaster/ it has all the images you need to make one yourself
@@illusionmanager Thank you very much