Results 101 to 110 of about 1,819 (238)

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti, Philipp Griewank, Florian Meier, Martin Weissmann   +3 more
wiley   +1 more source

EnKF and expectation‐maximization based parameter estimation of a convective gravity‐wave parameterization using Strateole 2 constant‐level balloon data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley   +1 more source

Nonlinear Receding‐Horizon Differential Game for Drone Racing Along a Three‐Dimensional Path

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Drone racing requires high‐speed navigation through three‐dimensional paths, posing significant challenges in control engineering. Existing control methods lack a feedback control framework that simultaneously addresses nonlinear drone dynamics and multi‐agent competitive interactions, such as overtaking or obstructing opponents.
Kijin Sung, Kenta Hoshino, Akihiko Honda, Takeya Shima, Toshiyuki Ohtsuka   +4 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

FinTech and Environmental Sustainability: Evidence From Brazil

Sustainable Development, EarlyView.
ABSTRACT This study explores the dynamic interplay between economic growth and environmental sustainability from a FinTech perspective, using Brazil as a case study. While FinTech's contribution to green transformation, sustainable finance, and resource efficiency has gained increasing attention, a notable lack of empirical research remains to assess ...
Kemal Eyuboglu, Umut Uzar
wiley   +1 more source

Stress‐Adaptive Biomaterials With Tunable Yielding Architectures Regulate Organoid Morphogenesis

Small, EarlyView.
Granular hydrogels are developed to tune the yield stress levels at which 3D tissue culture matrices undergo plastic deformation. We use these materials to regulate growth‐induced stresses, with demonstrable effects on cancer spheroid invasion and brain organoid morphogenesis.
James P. W. Reeves, Sabra Rostami, Mostafa Rammal, Andrei Bocan, Paula Lépine, Matthew J. Harrington, Thomas M. Durcan, Christopher Moraes   +7 more
wiley   +1 more source

The Quantum Optimization Benchmarking Library. [PDF]

Nat Comput Sci
Koch T, Bernal Neira DE, Chen Y, Cortiana G, Egger DJ, Heese R, Hegade NN, Gomez Cadavid A, Huang R, Itoko T, Kleinert T, Maciel Xavier P, Mohseni N, Montanez-Barrera JA, Nakano K, Nannicini G, O'Meara C, Pauckert J, Proissl M, Ramesh A, Schicker M, Shimada N, Takeori M, Valls V, Van Bulck D, Woerner S, Zoufal C.   +26 more
europepmc   +1 more source

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

Southern Economic Journal, EarlyView.
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley   +1 more source

Stochastic-SplitGAS: A Quantum Monte Carlo Multi-Reference Perturbation Theory Based on the Imaginary-Time Evolution of Effective Hamiltonians. [PDF]

J Chem Theory Comput
Bonfirraro L, Weser O, Song M, Li Manni G.   +3 more
europepmc   +1 more source

Aligning Real‐Time Recurrence Computational Fluid Dynamics Simulations with Plant Data for the Ruhrstahl–Heraeus Degassing Process of Steel

steel research international, EarlyView.
Uncertainties exist in computational fluid dynamics (CFD) modeling of complex metallurgical processes, even when partly validated by laboratory experiments. rCFD enables computationally efficient prediction of long‐term RH degassing and can be adapted to vary flow conditions.
Xiaomeng Zhang, Maria Thumfart, Roman Rössler, Stefan Pirker   +3 more
wiley   +1 more source