Results 141 to 150 of about 4,101,946 (282)

Calibration of medium‐range temperature ensemble forecasts dependent on the time horizon: An assessment

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

A synoptic overview of the EUREC4A field campaign

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The figure shows a summary of the important synoptic features and associated cloud patterns during the EUREC4A field campaign, divided into four subjectively defined periods. In period 1 the fish cloud pattern was dominant, associated with a shear line, and there was an initial transport of dust from West Africa that reached Barbados in the third ...
Leo Saffin   +27 more
wiley   +1 more source

Assessing the ability of a stretched‐grid deep‐learning weather prediction model to capture physical balances

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Regional deep learning weather prediction (DLWP) models, such as Bris, offer high resolution forecasts comparable with traditional numerical weather prediction (NWP) models. We evaluated Bris against the operational MetCoOp Ensemble Prediction System (MEPS) during extratropical cyclone Poly (July 5, 2023).
Francesco Pasquini   +4 more
wiley   +1 more source

Improving heavy precipitation forecasts through phase‐aware nonlinear bias correction of all‐sky infrared radiances using cloud top temperature differences

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study proposes a phase‐aware bias correction framework for all‐sky infrared radiance assimilation. Cloud top temperature differences between observations and model background fields are used to identify cloud‐phase mismatch and cold‐cloud regimes.
Jiwon Hwang   +5 more
wiley   +1 more source

Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study. [PDF]

open access: yesJMIR Med Inform
Dang C   +9 more
europepmc   +1 more source

Map showing rainfall and temperature statistics of the proposed site for the Federal Capital and the surrounding districts [cartographic material] /

open access: yes, 1910
Also issued with: On the climate of the Yass-Canberra district. Melbourne : Bureau of Meteorology, 1910. (Bulletin (Commonwealth Bureau of Meteorology (Australia) ; no.
Commonwealth Bureau of Meteorology (Australia)
core  

Investigating precipitation growth and decay due to orography using radar rainfall observations in Great Britain

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Precipitation growth and decay due to orography was analyzed using the radar network in Great Britain. Storm direction and speed modulate the intensity of precipitation growth or decay. Windward slopes predominantly exhibit precipitation growth, while leeward areas show precipitation decay.
Chen Li, Miguel Angel Rico‐Ramirez
wiley   +1 more source

Trends in rainfall and temperature extremes during 1954-2019 in Addis Ababa, Ethiopia

open access: yesJournal of Agrometeorology
ELIAS FISEHA MEKONNEN   +2 more
doaj   +1 more source

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