Weather of Things (WoT) uses a network of weather monitoring sensors to collect and transfer data based on various factors - wind speed, humidity, temperature, etc.
A data by Our World in Data states that Natural disasters are responsible for 60,000 deaths per year globally on average. Earthquakes, floods, typhoons, and many other types of weather disasters haunt this world almost every day. Now, even though we have developed a lot technologically, the danger is still far from getting over in regards to the unpredictable natural disasters.
Luckily, we have a potential weapon that can and is being useful to keep ourselves against such calamities- the Internet of Things (IoT). The IoT in weather technologies is expanding its applications faster. Thus, we already see a few examples of the IoT in weather technologies such as weather applications, meteorology sensors, and weather forecasting among others.
Now, as time is moving forward and technology is evolving, organizations such as IBM are focusing on boosting the efficiency of such weather technologies by using the IoT. The focus is revolving around improving the forecast accuracy so that people can avoid disasters.
Moving further, let’s dive into the discussion of how IoT is useful for the digital weather management system. We will pick a few real-life examples and discuss them through short briefs about them.
Now, IoT has collected weather data through the network of these sensors for quite some time. It visualizes the real-time data to predict weather developments. Metrics such as air pressure, temperature, wind speed, and more are taken into account to develop the finalized data and prepare a weather forecast report. With time, tech giants such as IBM are focusing on improving the predictability of such devices of weather forecasting.
These fascinating remote sensors are in-built in our everyday technologies such as a few car models, windmills, drones, and more. The IoT network collects the data and sends it to the monitoring computer assigned to control these devices. Moreover, weather forecasters were dependent upon Government-institutions to collect such information due to the high costs. But, for a few business owners, these weather models are getting affordable. Thus, the privatization of the WoT technology might improve as well.
A part of IBM, The Weather Company, has constructed a cloud computing system with the capability to deliver four GP data per second. The data is used to respond to 26 billion requests every day. Now, if we take the smartphone applications as an example- these mobile applications are dependent on third-party weather data.
For instance, Accuweather uses weather data from agencies such as the National Weather Service to predict the weather. Moreover, outside the US, it had tied up with many government and private agencies to borrow the data collected by them through the IoT technology.
Weather APIs are entirely dependent on the IoT network to access the data. However, these weather APIs developed by tech giants such as IBM provide weather data integration in the required format.
Now, let’s discuss a few benefits that these weather APIs offer-
The WoT has a future entirely focused on improved accuracy. And to do that, organizations are working on making IoT technology more accessible and remote-friendly. With networks of resources such as vehicles, towers, satellites, and smart devices, the weather data collection might witness improved accuracy. Thus, we might enter into an era where apps could even predict natural disasters such as Earthquakes, and tycoons much more efficiently compared to what we have today. Improved IoT will not contribute to enhanced accuracy of weather forecasting, but will also save so many lives.
Vikram is an experienced wunderkind, who embraced technology at a very early age, and today he is at the helm of it. Mobile apps are something that excites him the most, and now he is up to give this vertical the best shot. He routinely catches up with the new apps and comes up with the top apps that can excite you to the core.
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