Results 51 to 60 of about 760 (262)

Evaluation of WRF cumulus parameterization schemes for precipitation simulation in Talesh watershed, Iran

Discover Geoscience
Extreme precipitation events frequently trigger destructive floods in mountainous regions with complex topography, where accurate rainfall prediction remains challenging. The Weather Research and Forecasting (WRF) model is widely used for high-resolution
Mohammad Reza Goodarzi, Mohammad Javad Poorattar, Majid Vazirian   +2 more
doaj   +1 more source

Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior

Advanced Science, EarlyView.
This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid, Maryam Ebrahimiazar, Mohammad Zargartalebi, David Sinton   +3 more
wiley   +1 more source

The WRF Simulation Influence of Assimilating GNSS Water Vapor and Parameterization Schemes on Typhoon Rumbia

Atmosphere
The Weather Research and Forecasting (WRF) model was used to simulate Typhoon Rumbia in this paper. The sensitivity experiments were conducted with 16 different parameterization combination schemes, including four microphysics (WSM6, WSM5, Lin, and ...
Li Li, Yixiang Ma, Kai Li, Jianping Pan, Mingsong Zhang   +4 more
doaj   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Aircraft Observations Reveal the Relationship Between Cumulus Entrainment Rate and Aerosol Loading

Geophysical Research Letters
The influence of entrainment, a key process characterized by the entrainment rate in cumulus parameterization, on aerosol‐cloud interactions has been widely recognized.
Lei Zhu, Chunsong Lu, Jingyi Chen, Yuan Wang, Xin He, Junjun Li, Xianghua Wu, Shang Wu   +7 more
doaj   +1 more source

Impacts of Physical Parameterization Schemes on Typhoon Doksuri (2023) Forecasting from the Perspective of Wind–Wave Coupling

Journal of Marine Science and Engineering
Tropical cyclones (TCs) form over warm ocean surfaces and are driven by complex air–sea interactions, posing significant challenges to their forecasting.
Lihua Li, Bo Peng, Weiwen Wang, Ming Chang, Xuemei Wang   +4 more
doaj   +1 more source

Multiscale Modelling of the Electrocatalysis of Microenzymes: Insights Into the Performance of Microperoxidase at an Aqueous/Graphene Interface and Their Exploitation to Improve Performance

Advanced Science, EarlyView.
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic, Cheng Hu, Yuhui Sun, Matthew J. Penna, Meisam V. Kiamahalleh, Wenrong Yang, Mark J. Biggs   +6 more
wiley   +1 more source

Understanding Negative Subtropical Shallow Cumulus Cloud Feedbacks in a Near‐Global Aquaplanet Model Using Limited Area Cloud‐Resolving Simulations

Journal of Advances in Modeling Earth Systems, 2019
Limited area cloud‐resolving model (CRM) simulations called LASAM are used to reproduce and understand negative subtropical shallow cumulus cloud feedbacks in a near‐global aquaplanet CRM (NGAqua) with 4‐K sea surface temperature (SST) warming.
Pornampai Narenpitak, Christopher S. Bretherton   +1 more
doaj   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Assessing the Impact of Cumulus Convection and Turbulence Parameterizations on Typhoon Precipitation Forecast

Geophysical Research Letters
Improving typhoon precipitation forecast with convection‐permitting models remains challenging. This study investigates the influence of cumulus parameterizations and turbulence models, including the Reconstruction and Nonlinear Anisotropy (RNA ...
Yueya Wang, Haobo Li, Xiaoming Shi, Jimmy C. H. Fung   +3 more
doaj   +1 more source