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@article{157449,
        author = {ARUNA R and VASUKI S and DHANYA M R and DIVYA V and GOPIKA G S and HARINI M and HARITHA P},
        title = {WEATHER FORECASTING AND ITS VISUALIZATIONS USING AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {7},
        pages = {276-279},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157449},
        abstract = {Since the beginning of human civilization, the visualization and forecasting system for users has been developed to help them to visualize historical temporal weather data in their respective region. So our system is designed with the goal to supplement the productivity of already available website of meteorological department. It is flexible enough to visualize present data. Multiple weather scenario can be visualized.So we have implemented two types of weather forecasting system. Short term weather forecasting has been done to predict the daily forecast and Long term forecasting uses linear regression for predicting the weather trends. The system is designed in such a way that it can present data in user-friendly and comprehensible graphical formats and plots using virtual reality.The results for long term forecasting show that in next ten years rain fall will decrease effectively in the areas, an increase in the humidity has been observed after carefully reading the forecasted plots. It presents a web-based interactive visualization and analytical platform for weather data. Atmospheric elements including air temperature, pressure, relative humidity, wind and precipitation.
The visualization and analytical platform have been implemented. The platform gives Hydro meteorological and Monitoring Service analytical capabilities to analyze the in-situ observations, model and satellite image data per station and region for a given period
},
        keywords = {},
        month = {},
        }