Hydromet Observation Solutions

DTN Hydromet Observation Solutions is a complete weather observation system that combines expertly calibrated instrumentation, an IoT Gateway, and the MetConsole Cloud data integration system to provide a robust solution for all your weather and environmental monitoring needs.

• Advanced IoT-based weather stations: State-of-the-art technology ensuring high-quality, reliable data collection for comprehensive weather and environmental monitoring.
• Flexible and scalable solution: Can accommodate growing monitoring requirements across different industries and applications.
• Comprehensive parameter monitoring: Captures a wide range of meteorological and environmental data, including humidity, pressure, temperature, wind speed and direction, precipitation, and visibility.
• Efficient IoT Gateway: Ensures seamless, real-time data transmission from observation stations to the cloud, minimizing latency and data loss for timely analysis.
• Integrated MetConsole Cloud platform: Powerful cloud-based system for data storage, processing, and visualization, enabling advanced analytics and reporting capabilities.
• End-to-end monitoring solution: Provides a complete system from data collection to analysis, streamlining network management and reducing operational complexity.

DTN Hydromet Observation Solutions provides critical weather observations that alert you to adverse conditions, support operational intelligence, and improve the accuracy of weather forecasts for your specific location.

• Enhanced severe weather preparedness: Real-time monitoring enables rapid response to changing weather patterns, improving safety and operational efficiency.
• Optimized maintenance and operations: Professional-grade equipment and IoT connectivity reduce the need for frequent on-site visits and manual data collection, lowering overall operational costs.
• Data-driven operational decisions: Access to accurate, site-specific data empowers informed decision-making in weather-sensitive operations and planning.
• Improved local weather forecasting: On-site observations enhance the accuracy of weather predictions for your specific location, leading to better short and long-term planning.
• Advanced forecast model validation: Local observations contribute to refining and improving weather forecast models, increasing overall predictive accuracy.
• Contribution to meteorological networks: Data from your stations can be integrated into larger weather databases, enhancing the quality of regional and global forecasts.