Results 211 to 220 of about 10,593 (282)
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley +1 more source
The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes
Analysis of Irish precipitation records (1930–2019) shows significant relationships between rainfall extremes and global mean surface temperature (GMST), with increases of 12%–27% per °C of warming. Emergence of unusual climate conditions is already evident at several stations, most notably in the west during winter and the southeast during summer ...
Saoirse Fordham, Conor Murphy
wiley +1 more source
Characteristics and Trends in Short‐Duration Heavy Rain in Wet‐Season in Hong Kong
This study examines the characteristics of heavy rain events (hourly rainfall ≥ 30 mm) in Hong Kong from 2000 to 2024. A statistically significant increasing trend in short‐duration (1–3 h) heavy rain events (3.4 events per decade) in the wet season is observed, primarily due to other mechanisms rather than surface troughs or tropical cyclones. Notably,
Lai‐lai Leung +5 more
wiley +1 more source
The Second International Symposium on Flash Floods in Wadi Systems: 25-27 October 2016. Technische Universität Berlin, Campus El Gouna, Egypt.
openaire
Data-driven flood susceptibility assessment using hybrid machine learning and optimization techniques: case of the Sedrata Watershed, NE Algeria. [PDF]
Mechentel E +5 more
europepmc +1 more source
Strategic dam site selection and hazard mapping using remote sensing: insights from Wadi Araba, Egypt. [PDF]
Mesallam MA +4 more
europepmc +1 more source
Who is exposed and who is harmed? Social disparities in flood exposure and impact in Pernambuco, Brazil. [PDF]
AlAbbas M +3 more
europepmc +1 more source
Exploring Flooding Challenges, Causes, and Mitigation Strategies in Rice. [PDF]
Oumarou Mahamane AR +3 more
europepmc +1 more source
An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan. [PDF]
Khan MI +4 more
europepmc +1 more source

