Functional requirements of Real-time Weather Monitoring System with non-functional

Functional Requirements for a Real-time Weather Monitoring System

1. Data Collection:
   • Continuous collection of weather data from various sources, including weather stations, satellites, and sensors (e.g., temperature, humidity, wind speed, precipitation).
   • Support for integration with external APIs to fetch real-time weather data.
2. Data Aggregation and Processing:
   • Real-time aggregation of data from multiple sources.
   • Processing of raw data to calculate derived metrics (e.g., heat index, wind chill, dew point).
   • Data validation to filter out erroneous or outlier data.
3. Real-time Data Display:
   • Dynamic dashboard to display real-time weather data, including temperature, humidity, wind speed, precipitation, and other relevant metrics.
   • Map-based visualization showing weather conditions across different regions.
   • Support for customizable data views (e.g., graphs, charts, tables).
4. Alerts and Notifications:
   • Real-time alerts for severe weather conditions (e.g., storms, hurricanes, extreme temperatures).
   • Configurable alert thresholds for different weather parameters.
   • Multi-channel notifications (e.g., SMS, email, push notifications).
5. Historical Data Storage and Retrieval:
   • Storage of historical weather data for analysis and reporting.
   • Interface to retrieve and visualize historical data for specific time periods.
6. Weather Forecasting:
   • Integration with forecasting models to provide short-term and long-term weather forecasts.
   • Display of forecasted weather data alongside real-time data on the dashboard.
7. Geographical Coverage:
   • Support for monitoring weather conditions across multiple locations or regions.
   • Ability to add new locations dynamically.
8. User Management:
   • Role-based access control for different types of users (e.g., administrators, general users, meteorologists).
   • User profiles with customizable settings (e.g., preferred units, locations, alert preferences).
9. Reporting and Analytics:
   • Generation of reports summarizing weather conditions over specified periods.
   • Analytical tools to detect trends, patterns, and anomalies in the weather data.
10. API Access:
    • Provide an API for third-party applications to access real-time and historical weather data.
    • Support for secure API access with authentication and rate limiting.
11. Mobile Access:
    • Responsive web design or mobile app for accessing the weather monitoring system on smartphones and tablets.
    • Real-time data display and alerting on mobile devices.
12. Data Export:
    • Ability to export weather data in various formats (e.g., CSV, JSON, XML) for offline analysis or integration with other systems.
13. Localization and Language Support:
    • Support for multiple languages and regional settings, including time zones and units of measurement.
14. System Integration:
    • Integration with other systems, such as emergency response systems, traffic management, and agricultural management tools.

Non-Functional Requirements for a Real-time Weather Monitoring System

1. Performance:
   • The system should process and display real-time data with minimal latency.
   • The system should support a high volume of data inputs and outputs, especially during extreme weather events.
2. Scalability:
   • The system should be scalable to accommodate an increasing number of data sources and users.
   • Horizontal scaling should be supported to handle peak loads effectively.
3. Security:
   • Data should be encrypted in transit and at rest to protect sensitive information.
   • Implement authentication and authorization mechanisms to control access to the system and its data.
4. Reliability:
   • The system should have high availability (99.9% uptime or higher) to ensure continuous monitoring.
   • Implement redundancy and failover mechanisms to minimize downtime.
5. Usability:
   • The user interface should be intuitive and user-friendly, allowing users to easily access and interpret weather data.
   • The system should be accessible to users with varying levels of technical expertise.
6. Maintainability:
   • The system should be designed with modularity to facilitate easy updates and maintenance.
   • Comprehensive documentation should be provided for developers and administrators.
7. Interoperability:
   • The system should be able to integrate with a variety of data sources and external systems through standard protocols (e.g., REST, SOAP).
   • Support for interoperability with different platforms and devices.
8. Availability:
   • The system should be available 24/7, especially during critical weather conditions.
   • Implement backup and recovery processes to ensure data integrity and system continuity.
9. Compliance:
   • The system should comply with relevant data protection regulations, such as GDPR, especially if personal data is collected.
   • Adherence to industry standards for data accuracy and integrity.
10. Accessibility:
    • The system should be accessible to users with disabilities, adhering to WCAG (Web Content Accessibility Guidelines).
    • Ensure that the system is usable across different devices and platforms.
11. Localization and Internationalization:
    • Support for different languages and regional settings, allowing users from different geographical locations to use the system effectively.
    • Ability to add new languages and regional settings as needed.
12. Disaster Recovery:
    • Implement a disaster recovery plan to restore system functionality in case of a major failure or data loss.
    • Regular backups and testing of recovery procedures.
13. Data Accuracy and Precision:
    • Ensure that the weather data is accurate and precise, with mechanisms to detect and correct errors.
    • Regular calibration of sensors and validation of data against reliable sources.