The article "Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks" by Elias Dimitriou et al. examines the extreme flood event caused by Storm Daniel in Thessaly, Greece, from September 3 to 8, 2023. The storm led to extensive flooding, resulting in 17 human casualties and significant environmental and economic damage. The study utilized the automatic water-monitoring network of the HMIIOfTs National Research Infrastructure to capture the evolution of the flood event and analyze its characteristics. Key findings include: - The average rainfall return period was estimated to be up to 150 years. - The peak flow near the river mouth reached approximately 1950 m³/s. - The total outflow volume of water to the sea was 1670 hm³. - The analysis of observed hydrographs provided valuable lessons for flood engineering, emphasizing the importance of upstream retention and key modeling assumptions. The study highlights the crucial role of real-time water-monitoring networks in improving flood forecasting and early warning systems, reducing potential damages, and enhancing socioeconomic resilience to natural disasters. The analysis also suggests that simplified hydrodynamic models and data-driven techniques can be effective for timely and reliable flood warnings, while acknowledging the limitations of more detailed models in operational settings. The findings have implications for flood risk management and the development of effective flood protection infrastructure in Thessaly and similar regions.The article "Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks" by Elias Dimitriou et al. examines the extreme flood event caused by Storm Daniel in Thessaly, Greece, from September 3 to 8, 2023. The storm led to extensive flooding, resulting in 17 human casualties and significant environmental and economic damage. The study utilized the automatic water-monitoring network of the HMIIOfTs National Research Infrastructure to capture the evolution of the flood event and analyze its characteristics. Key findings include: - The average rainfall return period was estimated to be up to 150 years. - The peak flow near the river mouth reached approximately 1950 m³/s. - The total outflow volume of water to the sea was 1670 hm³. - The analysis of observed hydrographs provided valuable lessons for flood engineering, emphasizing the importance of upstream retention and key modeling assumptions. The study highlights the crucial role of real-time water-monitoring networks in improving flood forecasting and early warning systems, reducing potential damages, and enhancing socioeconomic resilience to natural disasters. The analysis also suggests that simplified hydrodynamic models and data-driven techniques can be effective for timely and reliable flood warnings, while acknowledging the limitations of more detailed models in operational settings. The findings have implications for flood risk management and the development of effective flood protection infrastructure in Thessaly and similar regions.