Weather forecast using unusual methods

Meteorology is now admirably advanced due to the immense capabilities of modern weather radar and other technological tools. You may have heard old sayings, like “red sky in the morning, cautioning sailors,” or “birds flying low, expect rain and blow.” However, they are often ignored as chants of an elderly man or woman with no scientific credibility. Then there are widely observed phenomena such as tidal waves that kill a large number of people, but do not kill wild animals. Gradually, over the years, scientists and researchers have begun to consider these ancient methods and some credit has even been done scientifically. On the other hand, rapid technological progress has also presented us with several ways to predict the anger of Mother Nature by using technological innovations.

SSGI (Solar System Architecture Index)

Predicting seismic activities often proves itself to be a daunting task and experts in the field often claim that there is really no accurate way to accurately predict tremors. Frank Hoogerbeets introduced its advanced system called the Solar System Engineering Index that can predict potential earthquakes. Seismic researchers who have declared themselves from the Netherlands, the expectations that Hogritz has set have already been fulfilled on more than one occasion (coincidentally, as politicians will say) is appropriate. One of these accurately predicted earthquakes includes the most recent earthquake that rocked California on July 5 and 6, 2019.

Hooberbeets firmly believe that planetary alignment and lunar engineering in our solar system can efficiently reveal seismic activities on Earth. According to his arguments, planetary alignment tends to release the electromagnetic force into the solar system which then destabilizes tectonic plates. Hoogerbeets also predicted that an earthquake of 6 to 7 might occur on July 19 or 20. What happened next, you might ask? Arunachal Pradesh was hit by a powerful earthquake measuring 5.9 on the Richter scale. While not entirely accurate with readings, he anticipated the correct date and became a viral sensation.

AI (artificial intelligence) or ML (machine learning)

Weather forecasts usually require meteorologists using a number of models and data sources to track the shape and movement of clouds that may indicate severe storms. However, weather data sets expand to an unimaginable number and size, making the task of observing storm configurations in real time very difficult for meteorologists. A team of researchers at Pennsylvania State University, AccuWeather, Inc. Almería University in Spain is developing a computer model that can help forecasters learn about the signs of potential storms more quickly and with greater accuracy. In the study, researchers analyzed more than 50,000 weather satellite imagery in the United States, and then experts determined the “comma-shaped” cloud shape and movement associated with hurricane formations.

Next, computer and ML vision technologies were used to automatically determine these cloud configurations as separators in satellite images. Computers then refer to these in real time, thus avoiding the need for meteorologists to pass through an ocean of seemingly endless data. It was observed that the accuracy of this method was 99 percent with an average of 40 seconds per prediction. It also predicted a staggering 64 percent of extreme weather events, and mainly outperformed methods to detect current severe weather.

Love insects predict rain

In 2013, a team of scientists at the University of Sao Paulo, Brazil discovered that romantic insects avoided the act of reproduction in response to the drop in air pressure that usually precedes rain. In partnership with researchers from the University of Ontario, Canada, a test was conducted on three unrelated species, namely the Diabrotica speciosa, the true crow worm moth (Pseudaletia unipuncta) and a bug (Macrosiphum euphorbiae), to decode and analyze the reaction they show to changes. At atmospheric pressure.

The study found that during such an event, male beetles became less responsive to their female counterpart pheromones. They would still mate if they were placed close to the female beetle, but often the engagement work was noted to be absent and they went straight to sexual intercourse. Moths and aphids showed similar responses. Researchers called it the “expectation of deaths” that reduced their sexual desire and made them want to get rid of the act, perhaps to maximize its chances of transferring their genes. Perhaps someone could design a tool that uses insects to predict the next bathroom.

Cockroaches help determine the temperature

There is another weather forecast algorithm that depends on tides, among other things. This algorithm, dubbed the Farmers’ Calendar, first published in 1818, claims that cricket sounds can be an indication of temperature. There is even a formula associated with this! “To calculate the accurate temperature in degrees Fahrenheit, calculate the number of tweeting in 14 seconds and add 40”. You might think this is nuts, but there is actually an equation to prove it.

The Arrhenius equation states that “the rate of a chemical reaction depends on a constant quality exponent – Ea / R, divided by the absolute temperature. Simply put, this means that the more warm it is the more satin the cockroaches, until it reaches the exact degree. Dolbear’s law was proposed that put The above formula first appeared in 1897. Read more here – https://dgit.in/cricketthermometer.

Hurricane forecasting using GPS

Hurricanes can be devastating, and meteorologists admit they will need a new tool to improve forecasts in this area. There is now a task called a constellation observing system for meteorology, ionosphere and climate 2 or COSMIC-2. In this bold mission, a total of six satellites were developed under the NOAA (National Oceanic and Atmospheric Administration) launched on the SpaceX Falcon Heavy missile on June 24 this year.

COSMIC-2 will provide meteorologists data related to air temperature, pressure and humidity in the equatorial region of our planet, where hurricanes and tropical storm systems are forming. You ask how the GPS comes? The spacecraft uses a technology called radio absence to collect weather data. The orbits of the COSMIC-2 satellites are specially tuned to capture the signals produced by the GPS satellites. The atmosphere usually distorts these GPS signals as they travel to Earth. COSMIC-2 orbits are placed lower than GPS satellites and can measure signal distortion. Then the data it collects is combined with the measurements taken from a group of other weather satellites and this eventually gives scientists an insight into the weather characteristics between 40 degrees north and south of the equator.

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