Results 201 to 210 of about 219,337 (309)

When tiny convective spread affects a midlatitude jet: Spread sequence

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We investigate spread evolution by mesoscale convection from tiny initial condition uncertainty during a real event. There is significant variation among the systems in their propensity to interact with the jet stream, whereby variability in one system (due to convective and long‐wave radiative heating tendencies) tightly relates to Rossby‐like ...
Edward Groot, Michael Riemer
wiley   +1 more source

Data assimilation with extremum Monte Carlo methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette   +3 more
wiley   +1 more source

Loss Behavior in Supervised Learning With Entangled States

open access: yesAdvanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl   +4 more
wiley   +1 more source

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