![CONCLUSION
Overall, the forecast demonstrated commendable accuracy in predicting [specific parameters] for
[certain regions or time frames]. This success underscores the effectiveness of our current
methodologies and data assimilation techniques.
However, notable discrepancies were observed in [mention specific parameters or regions] where
the forecast deviated from observed weather patterns. Identifying and rectifying these
discrepancies will be crucial for enhancing the precision of future forecasts.
The forecast's reliability was evident in well-calibrated probabilistic predictions, enabling informed
decision-making for various sectors, including [list specific user groups or industries].
Nevertheless, addressing uncertainties associated with [highlight specific sources of uncertainty]
remains pivotal to further improve forecast reliability.](https://image.slidesharecdn.com/weatherforecastproject-250401172608-45a73401/85/WEATHER-FORECAST-PROJECT-for-CSE-students-13-320.jpg)
WEATHER FORECAST PROJECT for CSE students
- 1. BENGAL COLLEGE OF ENGINEERING AND TECHNOLOGY PROJECT REPORT ON WEATHER FORECASTING WEBSITE SUBMITTED BY SOUMEN GHOSH(12500120169) DIP SARKAR(12500120138) PRABHAT KUMAR DAS(12500120046) UNDER THE ESTEEMED GUIDANCE OF MS.SANCHITA GHOSH
- 2. ACKNOWLEDGEMENT It is our proud privilege to express our profound gratitude to the entire management of Bengal College of Engineering And Technology and the teachers of the institute for providing us with the opportunity to avail ourselves of the excellent facilities and infrastructure. The knowledge and values inculcated have proved to be of immense help at the very start of my career. Special thanks to the Hon’ble Founder, Bengal College of Engineering And Technology , Durgapur for having provided us with an excellent infrastructure . I am grateful to MS. SANCHITA GHOSH for their astute guidance, constant encouragement and sincere support for this project work.
- 3. TABLE OF CONTENTS • OBJECTIVES. • INTRODUCTION. • TOOLS IN WEATHER FORECASTING. • FUTURE OF WEATHER FORECASTING. • FEATURES OF WEATHER FORECASTING SITE. • ADVANTAGES OF THE SYSTEM. • METHEDOLOGY. • CONCLUSION. • SOURCE.
- 4. OBJECTIVES 1.Enhancing Prediction Accuracy: Improve the precision of weather forecasts by refining numerical models, incorporating advanced data assimilation techniques, and leveraging technological advancements. 2.Developing High-Resolution Models: Create models with higher spatial and temporal resolution to better capture localized weather phenomena and provide more accurate forecasts for specific regions. 3.Predicting Extreme Weather Events: Enhance the ability to forecast and warn about extreme weather events like hurricanes, tornadoes, floods, and heatwaves, improving preparedness and response measures. 4.Quantifying Uncertainties: Develop methods to quantify and communicate uncertainties associated with forecasts, enabling users to understand and act upon the level of confidence in predictions.
- 5. INTRODUCTION Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it might be observed that if the sunset was particularly red, the following day often brought fair weather. However, not all of these predictions prove reliable.
- 6. TOOLS OF WEATHER FORECASTING Tools Used:- S No. Tools 1. HTML 2. CSS 3. JAVA SCRIPT 4. API KEY Working:- Weather project application is a web based application through which you will able to get all the reports related to weather forecasting of any locations. Its geographical locator which will be received through your browser setting and server configuration will automatically identify the location and able to present its weather details such as temperature , direction of wind ,rains, humidity etc. To change the location you will just have to select the options provided below to get its details. When they were not able to access this particular domain or even when the server is down.
- 9. FUTURE OF WEATHER FORECASTING Climate Change Adaptation: • Weather forecasting evolves to address the challenges posed by climate change, focusing on understanding and predicting long-term climate patterns, extreme weather events, and their impacts on ecosystems and society. Personalized Forecasting: •Customized weather forecasts tailored to specific user needs, leveraging location-based services and user preferences, leading to more relevant and precise predictions for individuals or businesses. Quantum Computing Impact: •The use of quantum computing could revolutionize weather forecasting by handling complex calculations and simulations, potentially leading to more accurate long-range predictions.
- 10. FEATURES OF WEATHER FORECASTING SITE • Seven days weather forecasting: It can predict seven days weather report accurately . • Hourly weather forecasting: Give us hourly weather report . Provides temperature , humidity ,cloud condition etc. • Place wise weather forecasting: We can get anywhere weather report from this site. It will provides the weather report according the place. • Others features: (a) UV Index. (b) Humidity. (c) Air Quality. (d) Sunrise Sunset.
- 11. ADVANTAGES OF SYSTEM 1. Real-Time Data One of the biggest advantages of weather monitoring systems and also the reason why people have been going in for weather stations is because of the ability to get their information in real-time. 2. Accurate Local Forecast In reality, the meteorological department may be located far from your home and weather forecasts are made for regions, not a specific area. That’s a reason why in these instances, the weather predictions that they give are not always the most accurate. 3. Ease Of Use Ease to use is definitely a big advantage of the weather monitoring system. Weather stations like all other weather devices are designed to be efficient and straightforward, therefore, everyone can use them. It is so convenient and comfortable for users to get the most accurate information in the simplest way possible.
- 12. MATHEDOLOGY 1.Data Collection: 1. Gather data from diverse sources such as weather stations, satellites, radar, buoys, and other sensors. 2. Acquire historical weather data to aid in model training and validation. 2.Data Quality Control and Preprocessing: 1. Clean and preprocess collected data to remove outliers, errors, or inconsistencies. 2. Ensure uniform formatting and quality of data across different sources. 3.Data Assimilation: 1. Employ advanced data assimilation techniques to integrate collected data into numerical weather prediction models effectively. 2. Merge observational data with model forecasts to improve initial conditions. 4.Numerical Weather Prediction Models: 1. Develop and utilize high-resolution numerical models capable of simulating atmospheric processes. 2. Incorporate physical principles, equations, and atmospheric dynamics into models.
- 13. CONCLUSION Overall, the forecast demonstrated commendable accuracy in predicting [specific parameters] for [certain regions or time frames]. This success underscores the effectiveness of our current methodologies and data assimilation techniques. However, notable discrepancies were observed in [mention specific parameters or regions] where the forecast deviated from observed weather patterns. Identifying and rectifying these discrepancies will be crucial for enhancing the precision of future forecasts. The forecast's reliability was evident in well-calibrated probabilistic predictions, enabling informed decision-making for various sectors, including [list specific user groups or industries]. Nevertheless, addressing uncertainties associated with [highlight specific sources of uncertainty] remains pivotal to further improve forecast reliability.
- 14. SOURCE National Meteorological Agencies: Websites of organizations like NOAA (National Oceanic and Atmospheric Administration), the Met Office, ECMWF (European Centre for Medium-Range Weather Forecasts), and others often provide extensive information on weather forecasting methodologies and research. Scientific Journals: Publications such as the Bulletin of the American Meteorological Society, Journal of Applied Meteorology and Climatology, Weather and Forecasting, and Atmospheric Science Letters often publish peer-reviewed articles on weather forecasting advancements Books: Textbooks and reference books on meteorology and atmospheric sciences can provide in-depth explanations of weather forecasting techniques and principles.