Results 171 to 180 of about 7,081 (248)

The benefit of neighborhood methods for the assimilation of cloud‐affected radiances evaluated in observing‐system simulation experiments

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Neighborhood methods are commonly used in verification to avoid the double‐penalty issue. This study evaluates such methods for the assimilation of infrared and visible satellite observations and extends them to multiscale assimilation. Moreover, a novel technique is tested aimed at mitigating complex biases and structural errors in real‐world model ...
Lukas Kugler   +4 more
wiley   +1 more source

Nowcasting convective cores using deep learning

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Effect of Faraday Rotation on L-band Ocean Normalized Radar Cross Section and Wind Speed Detection

open access: yesEffect of Faraday Rotation on L-band Ocean Normalized Radar Cross Section and Wind Speed Detection
形態: カラー図版あり Physical characteristics: Original contains color illustrations Accepted: 2019-01-07 資料番号 ...
openaire   +1 more source

Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

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