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energia: Extreme weather
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8 zapisanych źródełEvidence: 100 • authority: 72
Extreme weather includes unexpected, unusual, severe, or unseasonal weather; weather at the extremes of the historical distribution—the range that has been seen in the past. Extreme events are based on a location's recorded weather history. The main types of extreme weather include heat waves, cold waves, droughts, and heavy precipitation or storm events, such as tropical cyclones. Extreme weather can have various effects, from natural hazards such as floods and landslides to social costs on human health and the economy. Severe weather is a particular type of extreme weather which poses risks to life and property. Weather patterns in a given region vary with time, and so extreme weather can…
Otwórz źródło ↗Evidence: 65 • authority: 72
Severe weather is any dangerous meteorological phenomenon with the potential to cause damage, serious social disruption, or loss of life. These vary depending on the latitude, altitude, topography, and atmospheric conditions. High winds, hail, excessive precipitation, and wildfires are forms and effects, as are thunderstorms, downbursts, tornadoes, waterspouts, tropical cyclones, and extratropical cyclones. Regional and seasonal phenomena include blizzards, snowstorms, ice storms, and duststorms. Severe weather is one type of extreme weather, which includes unexpected, unusual, severe, or unseasonal weather and is by definition rare for that location or time of the year. Due to the effects…
Otwórz źródło ↗Evidence: 53 • authority: 80
Overview of extreme weather events, impacts and forecasting techniques
Otwórz źródło ↗Evidence: 53 • authority: 80
Forecasting extreme weather events and associated impacts: case studies
Otwórz źródło ↗Evidence: 53 • authority: 80
Improving Public Health Responses to Extreme Weather Events
Otwórz źródło ↗Evidence: 53 • authority: 80
Public Health Response to Extreme Weather and Climate Events
Otwórz źródło ↗Evidence: 53 • authority: 92
Accuracy assessments of gridded precipitation data: A case study from LTAR Texas Gulf.. Extreme meteorological events contribute to 80% of agroecosystem loss indemnities. Daily, seasonal, and annual precipitation dynamics also affect plant production, erosion, sediment and nutrient loading, and soil health across agroecosystems, largely depending on precipitation timing, amount, frequency, and intensity. Gridded meteorological data have been publicly available since the mid-2000s and used to assess spatiotemporal precipitation dynamics. The accuracy of gridded compared to site-level precipitation is, however, rarely evaluated because most long-term meteorological data are already calculated…
Otwórz źródło ↗Evidence: 53 • authority: 92
Multi-Center Analysis of the Association Between Meteorological Factors and Aneurysmal Subarachnoid Hemorrhage Using Logistic and Machine Learning Models in Upstate New York.. Introduction: Ruptured intracranial aneurysms (RIAs) are a significant cause of morbidity and mortality. While individual-level risk factors for aneurysmal subarachnoid hemorrhage (aSAH) are well established, the influence of meteorological variables has been widely debated but remains unclear. Methods: We retrospectively analyzed 1504 endovascularly treated intracranial aneurysm cases from two stroke centers (2018 to 2024). We matched daily weather data to presentation dates. We used variance inflation factor (VIF) a…
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