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xWEI – A novel cross-scale index for extreme precipitation events
2022<p><span>How can the extremity of an rainfall event be quantified? </span><span>Extreme rainfall events are rarely homogeneous regarding rainfall intensities and the spatio-temporal distribution of rainfall can cause flooding on different scales.
Paul Voit, Maik Heistermann
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Theoretical and Applied Climatology, 2015
Precipitation extremes affect various economic sectors and may result in substantial costs for societies. Future projections of such extreme occurrences are needed to successfully develop robust regional adaptation strategies. Model ensemble-based approaches provide a higher level of confidence since they compensate to some degree for the uncertainties
Stephanie Hänsel +2 more
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Precipitation extremes affect various economic sectors and may result in substantial costs for societies. Future projections of such extreme occurrences are needed to successfully develop robust regional adaptation strategies. Model ensemble-based approaches provide a higher level of confidence since they compensate to some degree for the uncertainties
Stephanie Hänsel +2 more
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Advances in Water Resources, 2020
Abstract Anthropogenic climate change has led to nonstationarity in hydrological data and their statistical characteristics. To consider nonstationarity in regional frequency analysis, several nonstationary index flood (NS-IF) methods comprising a time-dependent site-specific scaling factor or nonstationary regional growth curves have been suggested.
Hanbeen Kim +4 more
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Abstract Anthropogenic climate change has led to nonstationarity in hydrological data and their statistical characteristics. To consider nonstationarity in regional frequency analysis, several nonstationary index flood (NS-IF) methods comprising a time-dependent site-specific scaling factor or nonstationary regional growth curves have been suggested.
Hanbeen Kim +4 more
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Journal of Climate, 2021
AbstractSkillful subseasonal prediction of extreme heat and precipitation greatly benefits multiple sectors, including water management, public health, and agriculture, in mitigating the impact of extreme events. A statistical model is developed to predict the weekly frequency of extreme warm days and 14-day standardized precipitation index (SPI ...
Douglas E. Miller +4 more
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AbstractSkillful subseasonal prediction of extreme heat and precipitation greatly benefits multiple sectors, including water management, public health, and agriculture, in mitigating the impact of extreme events. A statistical model is developed to predict the weekly frequency of extreme warm days and 14-day standardized precipitation index (SPI ...
Douglas E. Miller +4 more
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2015
Drought is a natural phenomenon worldwide that triggers significant economic, social and environmental impacts. It is characterized by persistent time periods with recorded rainfall data below the mean, and it is one of the major climate-related hazards.
J. L. Ayuso +4 more
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Drought is a natural phenomenon worldwide that triggers significant economic, social and environmental impacts. It is characterized by persistent time periods with recorded rainfall data below the mean, and it is one of the major climate-related hazards.
J. L. Ayuso +4 more
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International Journal Of Scientific Research In Engineering & Technology
This study investigates the influence of global teleconnection indices on extreme precipitation events and vegetation dynamics in the Chalakudy River Basin, Kerala, India. The basin, characterized by high rainfall variability, is highly susceptible to climate-induced hydrological extremes.
Treesa Joesy Joseph, Anu Krishnan U
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This study investigates the influence of global teleconnection indices on extreme precipitation events and vegetation dynamics in the Chalakudy River Basin, Kerala, India. The basin, characterized by high rainfall variability, is highly susceptible to climate-induced hydrological extremes.
Treesa Joesy Joseph, Anu Krishnan U
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International Journal of Climatology, 2019
AbstractQuantifying spatiotemporal influence of climate index on extreme precipitation will help to better understand the variability of extreme precipitation. The extreme precipitation is usually influenced by different climate indices, and mutual offset is unavoidable to occur, thus the rotated empirical orthogonal function was used to identify the ...
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AbstractQuantifying spatiotemporal influence of climate index on extreme precipitation will help to better understand the variability of extreme precipitation. The extreme precipitation is usually influenced by different climate indices, and mutual offset is unavoidable to occur, thus the rotated empirical orthogonal function was used to identify the ...
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Russian Meteorology and Hydrology, 2007
A sign-variable structure of sea surface temperature (SST) anomalies in the high, subtropical, and tropical latitudes of the North Atlantic under the North Atlantic Oscillation index (NAO) values NAO ≥ 1 and NAO ≤ −1 is considered. A difference in cyclonic activity in winter under extreme values of the NAO is noted.
A. A. Sizov, A. E. Chekhlan
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A sign-variable structure of sea surface temperature (SST) anomalies in the high, subtropical, and tropical latitudes of the North Atlantic under the North Atlantic Oscillation index (NAO) values NAO ≥ 1 and NAO ≤ −1 is considered. A difference in cyclonic activity in winter under extreme values of the NAO is noted.
A. A. Sizov, A. E. Chekhlan
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2017
The study of floods and droughts requires the knowledge of wet and dry event sequences. They are the two important extreme conditions which directly or indirectly affects every field of environmental science. These extreme conditions are due to the change in one, of the many but most important parameter, rainfall.
N. R. Patel +2 more
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The study of floods and droughts requires the knowledge of wet and dry event sequences. They are the two important extreme conditions which directly or indirectly affects every field of environmental science. These extreme conditions are due to the change in one, of the many but most important parameter, rainfall.
N. R. Patel +2 more
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How rare, how risky? A return period-based early warning index for extreme precipitation
Extreme precipitation events are expected to become more frequent and more intense under climate change. Already today, the underestimation of extreme precipitation in weather forecasts can lead to an underestimation of impact and inadequate early warnings.Jessica Keune +3 more
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