Results 131 to 140 of about 29,275 (288)

Windows of opportunity in subseasonal weather regime forecasting: A statistical–dynamical approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study explores how the atmospheric state at initialisation creates windows of opportunity for improving week 3 forecasts of weather regime activity. Greenland blocking activity increases following Madden–Julian Oscillation phases 7, 8, and 1 and weak stratospheric polar vortex states, revealing patterns exploitable by statistical models.
Fabian Mockert, Christian M. Grams, Sebastian Lerch, Julian Quinting   +3 more
wiley   +1 more source

Assessing high‐resolution numerical models and bottom‐boundary factors for a Mediterranean heavy precipitation event

Quarterly Journal of the Royal Meteorological Society, EarlyView.
State‐of‐the‐art, convection‐permitting NWP models reproduced the main features of the October 22–23, 2019 heavy precipitation event in Catalonia. However, slight configuration changes yielded varying streamflow responses and statistical performance, highlighting the challenge of simulating these events in Mediterranean medium‐sized basins ...
D. Ramonell, D. S. Carrió, A. Amengual, R. Romero   +3 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

Structural Concrete, EarlyView.
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu, Nima Khodadadi, Anxiang Song, Tianyu Hu, Yang Yu, Antonio Nanni   +5 more
wiley   +1 more source

Lumen charge governs gated ion transport in β-barrel nanopores. [PDF]

Nat Nanotechnol
Mayer SF, Mitsioni MF, Robin P, van den Heuvel L, Ronceray N, Marcaida MJ, Abriata LA, Krapp LF, Anton JS, Soussou S, Jeanneret-Grosjean J, Fulciniti A, Möller A, Vacle S, Feletti L, Brinkerhoff H, Laszlo AH, Gundlach JH, Emmerich T, Dal Peraro M, Radenovic A.   +20 more
europepmc   +2 more sources

Efficiency increasing of Kuibyshevski refinery gas fractionation unit due to replacement of fractionation absorber to rectification column.

Тонкие химические технологии, 2007
The efficiency comparative analysis was carried out for fractionation absorber and rectification columns for feed deethanization at the Kuibyshevski Refinery gas fractionation unit for power inputs ...
M. L. Golovanov, A. V. Oskirko, A. V. Timoshenko, E. N. Voronov   +3 more
doaj  

Teaching Mishaps With Mistakes: A Peer‐Led Seminar Using Student Case Studies to Enhance Retention

Teaching Statistics, EarlyView.
ABSTRACT Traditional teaching often emphasizes correct methods, limiting opportunities to explore analytical errors and biases. We introduce a seminar framework that integrates peer‐to‐peer teaching with intentional exposure to statistical and machine learning mishaps through flawed, student‐designed case studies.
Elizabeth Y. Yuu, Bernhard Y. Renard
wiley   +1 more source