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Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007 The rainfall regime in southern Portugal is clearly Mediterranean. In such regions, the research on space-time patterns of extreme precipitation is an important contribution to assess desertification dynamics, among other impact studies applications. For
Ana Cristina Costa, Amílcar Soares
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, 2012 Mediterranean hydroclimatic region is one of the sensitive regions to climate variation, particularly to precipitation changes in Turkey. In this study, trends are estimated for different durations of annual extreme time scales (t = 1, 6, 12 and 24 hours) for approximately 50 years were examined for the seven stations in Mediterranean hydroclimatic ...
ŞENOCAK, Serkan, ACAR, Reşat
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Precipitation event extremity evaluation by a cross-scale weather extremity index across Germany
2023The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Guan, X. ; https://orcid.org/0000-0002-5791-6867 +5 more
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Changes and variability of extreme precipitation index in Colombia
2020<p>Climate models have not achieved a consensus about the future trend of long-term average of precipitation. As well as, the future trend of extreme values (including both extreme, droughts and heavy events) has higher uncertainties, because are unusual events.
Juan Diego Giraldo-Osorio +2 more
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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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Water (Switzerland)As global climate change intensifies, the global atmospheric circulation process is undergoing significant changes, and the local water vapor pattern has also changed. This study takes the Wei River Basin as the research area.
Yingdong Yu, Mengran Wang, Zihua Liu
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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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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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