Results 81 to 90 of about 493,411 (293)
Increasing urban flash flood risk attributable to both climate and development
A new event impact attribution methodology that combines convection‐permitting climate model data with flood inundation modelling was used for a five‐hour flash‐flooding event in the suburbs of Leeds in 2014. The results show increased urban flood extent due to both climate change (+16%) and increased urbanisation (+29%).
Daniel F. Cotterill +5 more
wiley +1 more source
Flash flood in Arau watershed, West Sumatera: a mitigation study
Flash flood often occurs in West Sumatera. In spite of heavy rain, flash floods are also caused by the landslide in the riverside that blocks the river as a natural dam. The natural dam can be broken at any time, depending on storage capacity.
Pramono Irfan, Savitri Endang
doaj +1 more source
Nowcasting convective cores using deep learning
Key findings: •$$ \bullet $$ Network for Nowcasting Convective Cores (NetNCC) has considerable potential for convective storm nowcasting and the development of early warning systems for extreme rainfall. •$$ \bullet $$ Skilful nowcasts of convective cores are obtained at fine spatial resolutions (<30km$$ <30\kern0.15em \mathrm{km} $$) for up to 2 hr ...
Jawairia A. Ahmad +5 more
wiley +1 more source
Flash floods pose a significant threat to Bangladesh; in particular, on 20 August 2024, the Feni district experienced a major flash flood, affecting more than 550,000 people and causing widespread damage.
Sajib Sarker +3 more
doaj +1 more source
This paper describes the Met Office's new lightning location system LEELA. A brief overview of the upgraded hardware and geolocation algorithms is given. LEELA has improved lightning detection capabilities, especially at night. When comparing LEELA to the previous ATDnet system against ground truths LEELA has 100% storm detection efficiency within 5 km
Graeme Marlton +7 more
wiley +1 more source
Direct Impact of Flash Floods in Kuala Lumpur City: Empirical Evidence Based Analysis
Flash floods are the most common and disruptive hydro-meteorological phenomena that Malaysian cities experience most often. Especially the capital city of the country is experiencing more incidences of flash floods than the past.
Tariqur Rahman Bhuiyan
doaj
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
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
Influence of open-source topographic data on basin-scale flash flood modelling in High Mountain Asia
Study region: A mountain basin in southern High Mountain Asia (HMA). Study focus: HMA is susceptible to flash flood hazards, while the difficulty of topographic data acquisition challenges its flash flood modelling.
Zhu Li +5 more
doaj +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

