How Internet of Things will help in weather forecasting

No one is unaware of unmatched power of nature and its ever changing and uncertain persona which leaves us unsure of what turn it may take next. It is said and believed that Mother Nature is unpredictable and has many secrets hidden in itself that are beyond our imagination. We humans in an effort to predict nature have switched from traditional method of weather forecasting and with help of Internet of Things (IoT) prediction of weather condition have taken another step ahead towards attaining higher accuracy and flexibility.

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Uprise of Iot have revolutionized major industries that includes Industries, Agriculture, Healthcare and have expanded its scope not only to build smart cities but also to accurate forecasting of weather. Weather forecasting itself has its direct or indirect influence on various sectors of economy like Energy, transportation and other business and thereby, making this forecasting as a key element in an economy’s growth.

 

How it works 

Remote sensing technology have opened the gates for real time analysis of weather data and have transformed the way that was used to collect and analyse weather data and build a strong database for reliable weather forecasts.

Advent of smartphones have made our life a lot comfortable as with one tap we have access to colossal of applications to help us out, may it be ticket booking, world’s time or guide to any specific location, all comes handy. You might be using weather forecasting app in your smartphone and with that if you have ever imagined about any application that might warn you about upcoming storm or unpleasant weather ahead in your way? Well not always we learn after committing a mistake, sometimes we learn from other experience as well, let’s discuss few means by which atmospheric data is collected and explain you how you are benefited from other’s experience:

 

  • IoT enabled weather systems are designed to collect data from various vehicles on the road, vehicles moving on the road will wirelessly communicate the weather and road condition data that is inclusive of air temperature, barometric pressure, visibility or light, motion and other data needed. This data helps to build more accurate forecast and provide flexible real time monitoring at different time horizon.
  • Sensors are installed on windshields, wipers and tyres of car. These sensors in integration with IoT help in collecting weather data which is further pooled in cloud for analysis.

Companies like IBM, Rainmachine and others are working towards expansionof IoT enabled weather forecasting.

Hand pressing virtual weather icon. Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location.

 

Key areas that are benefited with IoT weather forecasting technology

 

As mentioned earlier, accuracy of weather forecasting directly or indirectly influences other sectors of economy to a great extent, it thus raises the need of a system that facilitates higher accuracy of real time monitoring and future weather prediction. Below you can have a look at key sectors that are benefited with IoT weather forecasting technology:

Agriculture Agricultural process i.e. preparation of soil, sowing, irrigation, harvesting and storage of crops is directly dependent on weather condition leaving farmers vulnerable to weather hazards.

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Development and expansion of IoT technology for weather forecasting will deliver vital weather prediction to farmers and accordingly farmers may use the intelligence to improve their crop fertility and cost along with taking essential steps to diversify weather hazards. Timely and accurate delivery of weather forecast will ensure higher productivity and lower the risk of weather hazard.

Transport – We are well aware about uncertainty of unpleasant weather and risk factor attached to it in transportation. On successful installation of remote sensors on every vehicle moving on road, it would communicate every minor detail for analysis of weather change allowing the real time weather monitoring and forecasting report to cover even minute details like temperature, fog, road condition, light, flood, stormy and other condition that would add up to reliability and accuracy of the report. Hence, along with promoting smart and intelligent driving system, it will also uplift the safety and security of drivers with notifiable fall in road accidents caused because of weather hazards.

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  • Transportation being a key factor, if affected will hamper growth of various sectors of economy that would result fall in GDP and a slowdown in the economy. This situation, if arises, might leave adverse effect on economy that would take time to recover.

Other Sectors – There are also various other sectors like Airways, Construction and energy sector which are not left untouched by unpleasant weather and are vulnerable to weather hazards.

 

Conclusion

We have a clear image about how installing remote weather sensing technology on vehicles, roads along with cloud technology can significantly lower the risk of weather hazard. Timely delivery of an accurate and reliable weather forecast report will not only add up to safety and security of people and avoid road accidents but will also help various sectors of economy to deal with unpleasant weather risk.

 

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