Wireless sensor networks, in-situ sensor infrastructures and remote sensors offer new opportunities for pervasive monitoring of the built and natural environments. The ability to generate actionable predictive insights from raw sensor data is critical for many scientific applications of high societal priority. One example is sensor-based early warning systems for geophysical extremes like tsuna...

Abstract Weather extremes have been responsible for widespread economic damage at global scale in the last decades. Agriculture alone absorbed 26% of overall impact caused by natural hazards low- and middle-income countries even high-income yield losses due to extreme weather are relevant. Vulnerability curves traditionally used quickly estimate events. This study maps articles published from J...

Potential hazards arising from low-frequency large-magnitude debris flows have become apparent under the adverse impact of climate change and extreme weather. Hong Kong has systematically managed landslide risks man-made slopes natural hillsides since 1977, owing to its unique geographic location, steep terrain, deep weathering profile post-war rapid urban development. In recent years, evaluati...

During the winter of 2005/06, record-breaking snow accumulations were observed in many locations in south-east Germany, large parts of Austria and in the low mountain ranges along the Czech/German as well as Czech/Austrian borders. In the lowlands, low mountain ranges and eastern Alpine valleys of the above-mentioned study area, the snow mantle reached its maximum depth in early to mid-March, w...

BACKGROUND Emergency service vehicle crashes (ESVCs) are a leading cause of death in the United States fire service. Risk management (RM) is a proactive process for identifying occupational risks and reducing hazards and unwanted events through an iterative process of scoping hazards, risk assessment, and implementing controls. We describe the process, outputs, and lessons learned from the appl...

The incidence of hydrometeorological disasters in Indonesia is the largest percentage for last 10 years. development an integrated extreme weather early warning system one initial processes a series disaster mitigation efforts. Data models, observation and remote sensing become database weather, officers who carry out detection hazards so that they have sufficient waiting time to prepare effect...

Abstract A primary goal of the National Oceanic and Atmospheric Administration Warn-on-Forecast (WoF) project is to provide rapidly updating probabilistic guidance human forecasters for short-term (e.g., 0–3 h) severe weather forecasts. Postprocessing required maximize usefulness from an ensemble convection-allowing model Machine learning (ML) models have become popular methods postprocessing s...