INWRDAM’s Real-Time Monitoring program plays a critical role in disaster risk reduction (DRR) and enhancing agricultural production through the integration of advanced technologies and data analytics. Our work focuses on leveraging real-time data to improve preparedness, response, and resilience to climate-related hazards such as floods, as well as optimizing agricultural practices.
A cornerstone of our work is the network of 13 agrometeorological weather stations strategically positioned across Jordan as the first of its type in the Middle East. The data collected from these stations is crucial for understanding and managing risks associated with climate variability and extreme weather events.
In addition to ground-based monitoring, INWRDAM utilizes remote sensing using the most recent satellite imagery and Geographic Information Systems (GIS) to enhance data collection and analysis. This integration allows for comprehensive and real-time insights into environmental conditions and disaster risks. By combining data from weather stations, satellite images, and field sensors, INWRDAM can develop and implement projects and pilots with a high degree of accuracy and relevance.
The real-time data gathered is pivotal in both project development and designing effective pilot initiatives. It informs decision-making processes by providing accurate information on current conditions and potential risks, thereby enabling the creation of targeted and adaptive solutions. For instance, the data supports efforts in flood risk management, agricultural productivity optimization, and effective water resource allocation.
Through these advanced monitoring techniques, INWRDAM aims to enhance disaster preparedness, improve agricultural resilience, and support sustainable development practices. The program underscores INWRDAM’s commitment to using cutting-edge technology and data-driven insights to address climate challenges and advance regional water management and agricultural practices.
Learn More about our Agro-climatic stations in Jordan.