Results 71 to 80 of about 760 (262)

Sensitivity of WRF model parameterizations in simulating extreme rainfall over complex terrain – case of July 2020 over the Poyang Lake basin, China

Geomatics, Natural Hazards & Risk
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

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Differences in Sandy forecasts due to cumulus parameterization [PDF]

Eos, Transactions American Geophysical Union, 2014
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

Advanced Intelligent Systems, EarlyView.
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, Konstantina Tsintzira, Panagiotis Polygerinos   +2 more
wiley   +1 more source

Toward a Stochastic Relaxation for the Quasi‐Equilibrium Theory of Cumulus Parameterization: Multicloud Instability, Multiple Equilibria, and Chaotic Dynamics

Journal of Advances in Modeling Earth Systems, 2019
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
doaj   +1 more source

Sensitivity of Surface Ozone Simulation to Cumulus Parameterization

Journal of Applied Meteorology and Climatology, 2008
Abstract Different cumulus schemes cause significant discrepancies in simulated precipitation, cloud cover, and temperature, which in turn lead to remarkable differences in simulated biogenic volatile organic compound (BVOC) emissions and surface ozone concentrations.
Xin-Zhong Liang, Michael Caughey, Ho-Chun Huang, Allen Williams, Zhining Tao   +4 more
openaire   +1 more source

Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation

Advanced Intelligent Systems, EarlyView.
 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, Jiaqi Li, Tao Jing, Yang Yu, Yang Zhang, Xingpeng Yan   +5 more
wiley   +1 more source

Momentum Transport in Shallow Cumulus Clouds and Its Parameterization by Higher‐Order Closure

Journal of Advances in Modeling Earth Systems, 2019
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, Steffen Domke, Brian M. Griffin   +2 more
doaj   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
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, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source