Real-time Weather Forecasting web app
Abstract : Weather forecasting has been an important application for predicting the weather changes and accordingly organizing human activities to prevent any loss. The Weathercast application notifies the user about the weather conditions like min-max temperature, humidity, windspeed, AQI (Air Quality Index), UVI (Ultraviolet Index) of any particular location around the globe.
This application has been developed using android studio and the soft wares used are XML (for front-end programming), JAVA (for back-end programming). The app focuses on forecasting weather conditions using historical data.
This is done by extracting information from OpenWeathermap API. The app has a salient feature of comparing the weather conditions of two locations making the app more user-friendly. The app also updates the user about the current weather news worldwide and thus the app gives a complete insight of the weather condition.
It can be said that weather forecasts have been one of the greatest advancements of all time, mothered by innovative technologies and creative thoughts. Thefurtherance of the weather forecasting is the weathercast application.
Our application displays various weather parameters such as current temperature, wind speed, humidity, AQI, UVI. AQI(Air Quality Index) is a globally accepted standard to identify what is the quality of air and how polluted it is, and the general people can usenecessary measures.
Similarly our app will also display the current UVI(Ultraviolet Index) value. UVI is a globally accepted standard to measure the strength of the ultra violet radiations coming from the sun. Our application is beneficial to the general public.
Data Accuracy and Reliability: Real-time weather forecasts depend on data from various sources, including satellites, radar, and weather stations. If any of these sources have issues or inaccuracies, it can affect the reliability of the forecasts.
High Data Consumption: Continuous real-time updates can consume significant amounts of data, which may be problematic for users with limited internet bandwidth or data plans.
Server Load and Performance: Handling real-time updates and large amounts of user requests can put a strain on the server infrastructure, leading to potential performance issues or outages during peak times.
User Interface Complexity: Offering a wide range of real-time data and interactive features can make the user interface complex, potentially overwhelming users who seek simple and straightforward weather information.
The organization of this paper is as follows. Section II provides information about the survey done on selected issue i.e, the methodologies that are used for processing and analyzing the real-time weather forecasting data.
Section III gives the detail description about the techniques used for collecting and storing the real-time weather conditions. Section IV describes the analysis of collected data and also the predicts the future weather data values.
Section V concludes which methodology is accurate compared to other. VI) References: The literature review is done by reading many papers and journals, in this section the detail about the papers and journals used for this study is mentioned.
Up-to-Date Information: Real-time weather apps provide the most current weather data, helping users make informed decisions based on the latest conditions and forecasts.
Immediate Alerts: These apps can send immediate notifications about severe weather conditions, such as storms or extreme temperatures, which can be crucial for safety and preparedness.
Location-Based Accuracy: By using GPS or user-entered location data, these apps deliver highly localized weather forecasts, which can be more accurate than general regional forecasts.
Convenience: Users can access weather information quickly and easily from their devices without needing to consult traditional sources like TV or radio.
|