Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi +5 more
wiley +1 more source
Forecasting of Flash Floods Peak Flow for Environmental Hazards and Water Harvesting in Desert Area of El-Qaa Plain, Sinai. [PDF]
Abd-Elaty I +4 more
europepmc +1 more source
Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga +5 more
wiley +1 more source
Comprehensive Risk Assessment Framework for Flash Floods in China
Accurately assessing the risk of flash floods is a fundamental prerequisite for defending against flash flood disasters. The existing methods for assessing flash flood risk are constrained by unclear key factors and challenges in elucidating disaster ...
Meihong Ma +5 more
core +1 more source
Synoptic and large‐scale drivers of extreme precipitation events in the Himalayas
Months associated with maximum frequency of extreme precipitation events (EPEs). 6102 extreme precipitation days (i.e., exceeding 99th percentile for daily precipitation) occurred across the Karakoram, Western Himalayas (WH), Central Himalayas (CH) and Eastern Himalayas (EH) during 1979 to 2023.
Priya Bharati +2 more
wiley +1 more source
Flash flood disaster risk evaluation based on geographic detector and interval number ranking method
Among natural disasters, flash floods are the most destructive events, causing significant damage to the economy and posing a serious threat to human life and property.
Xiao Liu +3 more
doaj +1 more source
Numerical weather prediction output necessitates calibration, as weather model systems are unable to replicate the correct statistics of observations. Such processing is especially important when predicting extreme weather. Calibration methods function by learning from prediction inadequacies during a training phase and by exploiting this information ...
Dmitrij Japs +3 more
wiley +1 more source
Communities' resilience: lesson-learned from 2021 Selangor flash floods / Sarah Aqilah Kamaruzaman and Iffah Farhana Abu Talib [PDF]
Flash floods can cause significant loss and damages to ...
Abu Talib, Iffah Farhana +1 more
core
Climate‐change‐amplified wind‐related economic losses during Cyclone Harry (2026)
Cyclone Harry (January 2026) produced significant wind and rainfall impacts across southern Italy. Compared with 1950–1987, present conditions show warmer temperatures and stronger winds, increasing exposure. An estimated 72 million euros of damage are attributable to climate‐driven wind intensification. Abstract Cyclone Harry affected Sicily, Calabria,
Davide Faranda +2 more
wiley +1 more source
Flash floods in the Tatra Mountain streams: Frequency and triggers
Flash floods represent a frequently recurring natural phenomenon in the Tatra Mountains. On the northern slopes of the mountain chain, located in Poland, ongoing and expected future changes in climate are thought to further increase the adverse impacts ...
Ballesteros Canovas, Juan Antonio +11 more
core +1 more source

