A few years ago, there was a lot of controversy regarding the accuracy of weather forecast apps and websites. The incorrect weather forecasts of these apps caused many people problems. The major source of data came from satellites and a few weather stations, which did not have access to conditions on the ground.
In these modern times, weather websites and apps utilize sophisticated technology for providing weather forecasts. As a result, they can provide localized weather forecasts and other environmental information.
Internet of Things (IoT) is the latest technology used by weather companies, and it allows them to predict atmospheric conditions better than ever. We will examine how technology has improved the accuracy of meteorology and weather forecasting.
To predict nature, mankind has switched from traditional methods of weather forecasting and with the help of the Internet of Things (IoT), we can attain a higher degree of reliability and accuracy.
With the rise of IoT, major industries such as agriculture, healthcare, and manufacturing have been transformed. The technology has expanded not only to smart cities but also to accurate weather prediction. Weather forecasting has a significant impact on a variety of sectors of the economy including transportation, energy, and other business sectors, making it a key factor in economic growth.
A brief description of what IoT does in weather forecasting
In the past, weather data was collected and analyzed by humans. However, remote sensing has opened the gates to real-time analysis of weather data and has transformed how data is collected and analyzed for building a database for weather prediction.
Today, smartphones have revolutionized our lives as we can access a massive number of useful applications such as tickets booking, global time, and directions to specific locations with a tap. Have you considered using an application that notifies you about storms or unpleasant weather that may come your way?
You may have weather forecasting apps on your smartphone. However, learning does not always occur after committing a mistake, sometimes we can benefit from learning from others. Let’s discuss a few of how atmospheric data is collected and explain how you can benefit from others’ experiences:
- Various vehicles moving on the road will wirelessly communicate weather and road condition data, which includes air temperature, barometric pressure, light levels, motion, and other data required. It allows for more accurate forecasting and flexible real-time monitoring over multiple periods.
- Cars come with sensors on the windshield, wiper, and tires. With the help of IoT, these sensors can collect weather data, which can be analyzed in the cloud.
IoT’s impact on weather forecasting
During the early days of computerized weather forecasting, meteorologists collected data from weather stations at airports and ships. Weather information is most important for the airline and shipping industry, which can store the infrastructure in large spaces.
Companies like NOAA and AT&T obtain and publish data from government agencies like the National Oceanic and Atmospheric Administration. Because these factors were not included in the data, a discrepancy arose. Due to the Internet of Things technology, anyone can create a weather station simply by connecting a device to the Internet.
Microwave waves are used to communicate between these devices to transmit data over the Internet. These waves are affected by weather conditions, according to scientists. During stormy weather, the Internet receptivity on your phone network may be slower.
The weather companies receive this wave of behavior data from mobile networks and Internet service providers. Data is fed into these companies’ systems to get accurate weather forecasts.
Because of the security concerns regarding smartphones and other personal devices connected to the Internet, this technology has raised some eyebrows. IoT is a technology that has been incorporated into some laws, such as those in California.
Smart devices used by Californians need to adhere to certain privacy guidelines to ensure the privacy of the user. Despite these restrictions, weather forecasting in California cities is still accurate regardless of these restrictions. The reason for this is that it’s not just smartphones that are connected to the Internet.
Additionally, IoT data is collected from mobile network towers, personal weather stations, traffic cameras, and vehicles. By accumulating all this data, hyper-local weather forecasts can be made more accurate.
Benefits of IoT weather forecasting technology
The accuracy of weather forecasting directly or indirectly affects other sectors of the economy is a great deal, thus raising the necessity for a system that facilitates more accurate real-time monitoring and forecasting. Here are some industries that can benefit from IoT weather forecasting technology:
Agriculture – The process of preparing the soil, sowing, irrigation, harvesting, and storing crops directly depends on weather conditions leaving farmers vulnerable.With the enhanced IoT technology, farmers will be able to improve crop fertility and cost along with diversifying weather hazards. As a result, farmers can utilize IoT technology for weather forecasting to deliver vital weather information. Meteorological forecasts that are timely and accurate will increase productivity while lowering weather hazards.
Transportation – Uncertainty of unpleasant weather and associated risk factors are well known. When remote sensors are installed on a vehicle moving on the road, the system allows the reporting of real-time weather conditions to cover even minute details, such as fog, road conditions, light, flooding, stormy and other conditions that increase the report’s reliability and accuracy.
Therefore, the promotion of smart and intelligent driving systems will also increase the safety and security of drivers through a notifiable reduction in road accidents caused by weather hazards.Various sectors of the economy rely on transportation, and if this is affected, the GDP will fall and the economy will slow. An adverse economic impact, if this were to occur, would take time to recover.
Other Sectors – Various other industries, such as the airline industry, construction, and energy sector, are affected by bad weather and are susceptible to disasters.
Conclusion
With our collective knowledge, we come to understand how to significantly lower the risk of weather hazards by installing remote weather sensor technology on vehicles, roads, and using cloud-based technologies. Delivering an accurate and reliable weather forecast report on time will contribute to people’s safety, reduce accidents on the road, and assist various sectors of the economy to deal with unpleasant weather risks.
BIBLIOGRAPHY
2. https://iotworm.com/internet-of-things-technology-weather-forecasting/