Enhancement of Meteorological Observational Systems Using the Internet of Things

Enhancement of Meteorological Observational Systems Using the Internet of Things

Ramesh Chandra Goswami, Hiren Joshi, Sunil Gautam
DOI: 10.4018/978-1-6684-3981-4.ch003
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Abstract

Weather forecasting has an important role in meteorology, and it has long been one of the world's most systematically difficult problems. Severe weather events pose a threat to a complex method of weather forecasting with only a partial explanation. Weather forecasting accuracy has a significant impact on various sectors of the economy, necessitating the development of a system that allows for greater accuracy in real-time monitoring and future weather prediction. Farmers are exposed to weather threats since the agricultural process, such as soil preparation, sowing, irrigation, harvesting, and storage of crops, is directly dependent on weather conditions. The internet of things is currently growing at an exponential rate. The internet of things (IoT) is becoming increasingly important in a variety of fields. In this chapter, the authors look at how the IoT can help with weather forecasting.
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Introduction

Weather is one of the most useful environmental limitations in our lives at every level. Weather forecasts play a crucial role in our day-to-day lives. A fantastic weather forecasting system aids in the recovery of development as well as any required planning in the event of inclement weather. IOT has been employed in fields such as healthcare, farming, and home automation, and has grown into a smart city contract, as well as weather forecasting (Nikesh et al., 2016; Asghar et al., 2015; Das et al., 2021; Ojha et al., 2015). Weather forecasting is particularly valuable in a variety of businesses, such as the power industry and the agricultural transportation, and thus forecasting is an important aspect of economic development.

The application of science and technology to forecast atmospheric conditions for a specific location and time period is known as weather forecasting. People have been attempting to forecast the weather informally for generations, and formally from 19th century. Weather forecasting, which used to be done by hand and focused mostly on variations in barometric pressure, existing weather patterns, and sky status or cloud cover, is now done using computer-based models that take a variety of atmospheric variables into account (Sampathkumar et al., 2020 & Banara et al., 2022).

Weather forecasts are made by obtaining objective data on the current state of the atmosphere in a specific region and predicting how the weather will behave in the future using meteorology.

Weather forecasting is an important part of meteorology, and it has long been one of the world's most difficult problems. Severe weather occurrences present a challenging forecasting problem with just a partial explanation. There are various parameters to weather phenomena that are impossible to detail and compute (Y. Zhou et al., 2012). As communication channels improve, weather forecasting specialist systems might integrate and exchange assets, resulting in hybrid systems. Even with various advancements in climate prediction expert systems can't be completely dependable as long as weather forecasting is a major issue.

Weather monitoring is getting a lot of attention these days. People desire to know the current weather conditions of any location, such as industrial sites, offices, and visitor locations, at that time. Weather stations of various types are put in various locations to provide weather information (Rao et al., 2016 & Keshavkumarsingh et al., 2013).

There is various type of sensors such as environmental sensors are utilized for measurements at any given location and are reported on the cloud in real time by weather forecasting. Temperature, wind and humidity all had a role in forecasting (Yerpude et al., 2017). Various sensors were employed in weather forecasting to continuously sense weather parameters and broadcast them to an internet server through a Wi-Fi. The cloud is used to store weather data, which then provides weather forecasting in real time Smart cities have weather forecasting systems in place to forecast the weather. With the advent of high-speed Internet, an increasing number of individuals all over the world are becoming connected. The Internet of Things expands on this by connecting not only people but also technological objects that can communicate with one another (Pandey et al., 2022 & Wankhede et al., 2014).

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