Results 71 to 80 of about 759 (266)
Differences in Sandy forecasts due to cumulus parameterization [PDF]
One reason for Hurricane Sandy's noteworthy impact was a discrepancy in its forecasting. Scientists knew of the hurricane days before it made landfall, but two different models consistently made two different predictions for its track. One week in advance of the actual landfall, the European Centre for Medium‐Range Weather Forecasts (ECMWF) predicted ...
openaire +1 more source
Design Optimization of Soft Fabric Pneumatic Actuators
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou +2 more
wiley +1 more source
In recent years, the Weather Research and Forecasting (WRF) model has been used to obtain reliable rainfall with higher spatial and temporal resolutions. The selection of physical parameterization schemes largely influences the WRF simulation.
Jinru Wu, Jianzhong Lu, Xiaoling Chen
doaj +1 more source
Errors caused by draft fraction in cumulus parameterization [PDF]
The assumption that the draft fraction is negligible in cumulus parameterization can be a major source of error in the parameterized tendencies of thermodynamic quantities. This study estimates the errors arising from this assumption based on an analysis of high‐resolution cloud‐resolving model output.
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Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation
Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang +5 more
wiley +1 more source
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source
Abstract This paper derives a firm‐level threshold, the Herfindahl Neutral Point, from the standard concentration index used in merger review. At this threshold, a marginal expansion leaves the index unchanged. Firms below the threshold reduce concentration when they expand; firms above it increase concentration.
Andrew J. Keller, Krishna P. Paudel
wiley +1 more source
The representation of clouds and organized tropical convection remains one of the biggest sources of uncertainties in climate and long‐term weather prediction models.
Boualem Khouider, Etienne Leclerc
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ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan +10 more
wiley +1 more source
Momentum Transport in Shallow Cumulus Clouds and Its Parameterization by Higher‐Order Closure
It is challenging to parameterize subgrid vertical momentum fluxes in marine shallow cumulus layers that contain a jet in the profile of horizontal wind.
Vincent E. Larson +2 more
doaj +1 more source

