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@article{170011,
        author = {Rohit Wasade and Anurag Page and Prof. Sharda Dabhekar},
        title = {Weather Forecasting},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2951-2956},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170011},
        abstract = {Weather forecasting is the process of predicting atmospheric conditions at a specific location and time using scientific principles and data analysis. It involves the collection of meteorological data from various sources, such as satellites, weather stations, and radar systems, which are then processed using mathematical models and computational algorithms. The forecast provides insights into temperature, precipitation, humidity, wind speed, and other weather parameters.

Modern advancements, such as machine learning and high-resolution models, have enhanced the accuracy of predictions, enabling reliable short-term and long-term forecasts. Accurate weather forecasting is critical for agriculture, transportation, disaster management, and daily activities, helping mitigate risks and optimize planning. Despite technological progress, challenges remain due to the chaotic nature of weather systems, making continuous research essential for improving prediction reliability.},
        keywords = {Meteorology,  Atmospheric conditions, Forecasting models,  Satellite data, Radar systems, Temperature, Humidity, Wind speed, Climate analysis},
        month = {November},
        }