Results 201 to 210 of about 15,174 (247)

Impact of small‐scale gravity waves on tracer transport

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We extend a gravity wave (GW) parametrization to calculate the tracer transport due to the GW–Stokes drift and next‐order effects, where the approach is validated by comparing coarse‐resolution simulations with parametrized GWs to high‐resolution, wave‐resolving reference simulations.
Irmgard Knop   +2 more
wiley   +1 more source

Turbulent snow transport and accumulation: New reduced‐order models and diagnostics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Our new reduced‐order models of snow particle transport provide high‐fidelity calculations of snow accumulation in turbulent flows at significantly reduced computational costs. Additional accumulation diagnostics from the reduced‐order model predict complex patterns of particle concentration in turbulent boundary layers via coherent flow structures in ...
Nikolas O. Aksamit   +3 more
wiley   +1 more source

Assimilation of European and global Mode‐S aircraft observations into the Met Office global deterministic numerical weather prediction model

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
European and global Mode‐S aircraft reports have been assimilated into the Met Office global deterministic numerical weather prediction model, improving forecast accuracy for wind, temperature, and geopotential height. This is the first time global Mode‐S network data have been assimilated, which include data from under‐observed regions, and has ...
Elliott Warren   +5 more
wiley   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson   +4 more
wiley   +1 more source

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley   +1 more source

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