Results 161 to 170 of about 156,269 (241)

How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood   +3 more
wiley   +1 more source

Suggestions for unifying the parametrizations of turbulent orographic form drag, mountain wave drag, and flow blocking

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
A theory for the interaction between a boundary layer and a low mountain is used to provide estimates of the turbulent orographic form drag, upward‐propagating mountain gravity‐wave drag, and trapped lee‐wave drag (case shown in the figure). After reviewing briefly how these processes are represented in weather and climate models, we propose a ...
Francois Lott   +2 more
wiley   +1 more source

A structurally localized ensemble Kalman filtering approach

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih   +1 more
wiley   +1 more source

Modulation of wind drag by tidal currents in an embayment

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate   +1 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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