Results 181 to 190 of about 51,229 (231)

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

Quarterly 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, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 more
wiley   +1 more source

Stochastic properties of musical time series. [PDF]

Nat Commun
Nelias C, Geisel T.
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Read my LIPSS: organic lasers on micromachined resonators. [PDF]

Nat Commun
Dong T, Antrack T, Pietsch F, Lindenthal J, Löffler M, Rellinghaus B, Benduhn J, Sudzius M, Leo K.   +8 more
europepmc   +1 more source

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

Quarterly 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, Suzanne Gray, John Methven, Mark Rodwell   +3 more
wiley   +1 more source

Dynamic performance of quasi-zero-stiffness isolator with displacement-dependent electromagnetic shunt damping. [PDF]

Sci Rep
Hao P, Niu J, Zhang W.
europepmc   +1 more source

A structurally localized ensemble Kalman filtering approach

Quarterly 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, Ibrahim Hoteit   +1 more
wiley   +1 more source

Fluctuation Relations Associated to an Arbitrary Bijection in Path Space. [PDF]

Math Phys Anal Geom
Chétrite R, Marcantoni S.
europepmc   +1 more source

Modulation of wind drag by tidal currents in an embayment

Quarterly 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, Michael V. W. Cuttler   +1 more
wiley   +1 more source

Single-photon advantage in quantum cryptography beyond QKD. [PDF]

Nat Commun
Vajner DA, Kaymazlar K, Drauschke F, Rickert L, von Helversen M, Liu H, Li S, Ni H, Niu Z, Pappa A, Heindel T.   +10 more
europepmc   +1 more source