2023 · 16 citations · 99 references
Natural ResourcesEmergency PlanningEmergency PreparednessDisaster PreparednessHydrometeorologyWeather ForecastingDroughtDrought ForecastingFlood ForecastingFlood WarningHydrometeorological ForecastingNatural HazardsDisaster AssessmentDisaster SurveillanceDisaster Warning SystemsDrought Information SystemsFlood Warning SystemsHydrometeorological Early Warning SystemsSevere Weather Warning SystemsWarning Timeliness
Hydrometeorological disasters, including floods and droughts, have intensified in both frequency and severity in recent years. This trend underscores the critical role of timely monitoring, accurate forecasting, and effective warning systems in facilitating proactive responses. Today's information systems offer a vast and intricate mesh of data, encompassing satellite imagery, meteorological metrics, and predictive modeling. Easily accessible to the general public, these cyberinfrastructures simulate potential disaster scenarios, serving as invaluable aids to decision-making processes. This review collates key literature on water-related disaster information systems, underscoring the transformative impact of emerging information and Internet technologies. These advancements promise enhanced flood and drought warning timeliness and greater preparedness through improved management, analysis, visualization, and data sharing. Moreover, these systems aid in hydrometeorological predictions, foster the development of web-based educational platforms, and support decision-making frameworks, digital twins, and metaverse applications in disaster contexts. They further bolster scientific research and development, enrich climate change vulnerability frameworks, and strengthen associated cyberinfrastructures. This article delves into prospective developments in the realm of natural disasters, pinpointing primary challenges and gaps in current water-related disaster information systems, and highlighting the potential intersections with future artificial intelligence solutions.
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The Changing Character of Precipitation
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Flood Prediction Using Machine Learning Models: Literature Review
World drought frequency, duration, and severity for 1951-2010
Jonathan Spinoni, Gustavo Naumann, Hugo Carrão et al. · International Journal of Climatology · 2013 · 788 citations
Global integrated drought monitoring and prediction system
Zengchao Hao, Amir AghaKouchak, Navid Nakhjiri et al. · Scientific Data · 2014 · 755 citations · Full text