Results 81 to 90 of about 41,913 (212)
Epistemic and aleatoric uncertainty quantification in weather and climate models
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
wiley +1 more source
This study reveals that the combined effects of the North Atlantic Oscillation (NAO) and anomalous Indo‐Pacific Walker circulation on the excitation of the wave train along the wintertime subtropical jet strongly depend on their phase combination. Their impacts interfere constructively or destructively over South Asia, leading to notable differences in
Yuki Asazuma +2 more
wiley +1 more source
El peso del recién nacido sano según edad gestacional en una población de Lima
Objetivo: Establecer los valores del peso al nacer de un grupo de recién nacidos sanos hijos de mujeres residentes en Lima que tuvieron embarazos simples sin complicaciones obstétricas ni neonatales.
Percy Pacora +3 more
doaj
Ensemble reliability and the signal‐to‐noise paradox in ECMWF subseasonal forecasts
We derive a general expression for the ratio of predictable components (RPC) in terms of correlation, spread–error ratio, and total variance ratio. Physical constraints on the admissible solutions (i.e., real‐valued and non‐negative variances) provide a mechanism to identify statistically paradoxical sample combinations of reliability and correlation ...
Christopher D. Roberts, Frederic Vitart
wiley +1 more source
This study investigates the statistical characteristics of recurving tropical cyclones (TCs) over the western North Pacific (WNP). We find that recurving TCs are, on average, 38% stronger than non‐recurving TCs, owing to longer ocean exposure, fewer landfalls, and passage through warmer, more favorable thermal environments.
Md Afjal Hossain +3 more
wiley +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
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 +6 more
wiley +1 more source
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves +4 more
wiley +1 more source
ABSTRACT Sustainable Development interventions must deal with rapid and novel changes affecting complex social‐ecological systems, calling for design based on a resilience approach. However, limited analytical attention has been paid to the design settings in which such approaches are deployed.
Yiheyis Maru +6 more
wiley +1 more source
ABSTRACT Climate‐smart agriculture (CSA) is widely promoted to enhance resilience and productivity among smallholder farmers, yet its diffusion remains uneven due to structural barriers and heterogeneous adoption contexts. Existing forecasting tools, such as the Adoption and Diffusion Outcome Prediction Tool (ADOPT), estimate adoption trajectories but ...
Denis Momanyi +6 more
wiley +1 more source

