September 26, 2020

Technologies for predicting terrible natural disasters

Technologies for predicting terrible natural disasters

On the ninth of October 1780 the strongest begana hurricane in the history of the North Atlantic basin. The Great Hurricane reached a wind speed of 320 km / h and took the lives of 27 thousand people who were unaware of the need for evacuation. After more than two centuries, mankind has developed technologies that can warn of natural disasters in advance.


Radar is a basic and indispensable tool that is used to determine the weather. The history of radar stations began back in 1905, when it was first patented radar technology.

Centuries later, hundreds of thousands of modernstations, a significant increase in which began in the nineties and early 2000s. In determining the weather, radars at first showed only the intensity and degree of precipitation. Then came the Doppler radar, which gave weather forecasters the opportunity to track information about how precipitation moves in a storm. It was the Doppler radar that helped weather forecasters identify potential tornadoes and detect the conditions of wind displacement, the possibility of freezing rain and track storm systems in several fields of scanning.

Technological advances radar soaccurate that provide information on what type of precipitation is expected: snowflakes, ordinary rain or ice hail. By scanning the width and height of the hydrometeor (a set of raindrops), the radars provide information about the size of raindrops and snowflakes, as well as information about whether ice balls or hail are falling or circulating inside the clouds.


In 1989, the most advanced meteorologicalimages from space made it possible to obtain images of the Earth every 30 minutes; their resolution was approximately 1 square kilometer per pixel. After 30 years, the new GOES-16 and GOES-17 satellites increased their resolution by 4 times, and the frequency of image acquisition by 3 times. If necessary, it is possible to accelerate the frequency even up to 30 seconds per shot.

Technologies for predicting terrible natural disasters

5G meteorological scandal

This technology can be useful andfatal at the same time. The advantages of 5G are the data transfer speed, but the problem is that an important part of the electromagnetic spectrum is taken from satellites to organize the operation of 5G networks. We are talking about the frequency range near 24 GHz, which satellites use to observe atmospheric phenomena.

NASA said that 5G really causesinterference that could slow the arrival of an important evacuation signal by as much as 3 days. As a result of this phenomenon, a paradox arises in which the latest technology throws back achievements in forecasting hurricanes and floods to the level of 1980.

The solution to the problem is associated with the 3GPP specification5G NR, in which data from satellite meteorological services will be protected by reducing the emission levels of adjacent 5G signals between 24.25 and 27.5 GHz.

The importance of the computer in weather modeling

The weather forecast is not made by one computer,It consists of a mixture of personal knowledge and experience of a weather forecaster and a useful guide created by computer weather models. The more power a computer has, the more data it can process per unit of time.

US National Meteorological Service is already 3years uses supercomputers performing 5.78 quadrillion operations per second. The presence of this kind of power significantly expands the number and types of data models available for processing.

Supercomputer Achievement Indicatorensemble forecasting. This type of forecasting is resource intensive because it performs several runs of the weather model in turn or simultaneously, each with minor changes to the model settings and weather data entered into them. Comparison of the results obtained in each ensemble gives weather forecasters a better understanding of the probability of any one result.

Technologies for predicting terrible natural disasters

Internet of Things (IoT)

Many watched the movie "Tornado" 1996, inwhich the main characters' goal was to get sensors inside a huge tornado to obtain the most accurate data about it. Now this problem is being solved with the help of IoT devices, which are useful at all stages of the disaster.

One vivid example of IoT's applicationThe fight against the elements could be observed in September, when Hurricane Dorian was raging in the Bahamas. IoT devices were involved in the HURREVAC evacuation planning system.

In addition, the sensors have proven useful incalculations of damage caused by the elements. The installation of 350 storm tide sensors on bridges, pylons and other structures was carried out by employees of the US Geological Survey.

Sensors collect water pressure readings thathelp determine the depth, duration and time of a storm surge. Some of them are located in long sections perpendicular to the coast to help measure how local topography, natural features and land use can reduce or increase the height of the waves and, as a result, flood damage.