GPU-accelerated rendering of vector strokes with piecewise quadratic approximation by Xuhai Chen, Guangze Zhang, Wanyi Wang, Juan Cao, Zhonggui Chen

“…Additionally, we propose an efficient Newton iteration-based method for arc-length parameterization of quadratic curves, along with an error estimation technique. …”
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Evaluation of Autoconversion Representation in E3SMv2 Using an Ensemble of Large‐Eddy Simulations of Low‐Level Warm Clouds by Mikhail Ovchinnikov, Po‐Lun Ma, Colleen M. Kaul, Kyle G. Pressel, Meng Huang, Jacob Shpund, Shuaiqi Tang

“…The analysis of an ensemble of warm low‐level cloud cases shows that the E3SMv2 formulation represents the Au reasonably well compared to the horizontally averaged explicitly computed rate from LES. …”
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Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…First, the enhanced re-parameterized structure across multiple stages and branches achieves an effect equivalent to variable convolution. …”
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Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning by Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet

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Heterogeneity Impacts Urban Roughness for Earth System Modeling by Shaofeng Liu, Qingche Shi, Lingke Li, Hua Yuan, Zhongwang Wei, Nan Wei, Xingjie Lu, Shupeng Zhang, Xian‐Xiang Li, Yongjiu Dai

“…Evaluation over real urban surfaces shows that RUR generally outperforms the classical schemes, especially for the estimate of z0. …”
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Mesoscale Eddy‐Induced Sharpening of Oceanic Tracer Fronts by Yueyang Lu, Igor Kamenkovich

“…A functional form of EEIV in terms of large‐scale variables effectively represents the frontogenesis in a coarse‐resolution simulation. This study shows promise for using an advective framework to parameterize eddy‐driven frontogenesis in numerical models that are not eddy‐resolving.…”
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Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring by Luis Miguel Pires, João Figueiredo, Ricardo Martins, João Nascimento, José Martins

“…The system was evaluated under both room temperature and refrigeration conditions, demonstrating high accuracy with the internal sensor showing an average error of 0.041 °C and −0.36 °C, respectively, and absolute errors below ±0.5 °C. …”
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Energetically Consistent Eddy‐Diffusivity Mass‐Flux Convective Schemes: 2. Implementation and Evaluation in an Oceanic Context by M. Perrot, F. Lemarié

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Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment by Brenda Y. Angulo-Ruiz, Elena I. Rodríguez-Martínez, Francisco J. Ruiz-Martínez, Ana Gómez-Treviño, Vanesa Muñoz, Sheyla Andalia Crespo, Carlos M. Gómez

“…The results showed increases in complexity across scales in both groups. …”
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Parametric design and multiple objective intelligent optimization of marine nuclear turbine aerothermodynamics under variable conditions by Lei Zhang, Guobing Chen, Yu-Ang Shi, LuoTao Xie

“…We propose a method for parameterized reconstruction of steam turbine blade profiles based on their geometric parameters using a coordinate equation developed based on the third-order Bezier curve. …”
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Sub‐Cloud Turbulence Explains Cloud‐Base Updrafts for Shallow Cumulus Ensembles: First Observational Evidence by Youtong Zheng, Daniel Rosenfeld, Zhanqing Li

“…Abstract Sub‐cloud turbulent kinetic energy has been used to parameterize the cloud‐base updraft velocity (wb) in cumulus parameterizations. …”
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A Scale‐Adaptive Urban Hydrologic Framework: Incorporating Network‐Level Storm Drainage Pipes Representation by Taher Chegini, Hong‐Yi Li, Y. C. Ethan Yang, Günter Blöschl, L. Ruby Leung

“…Comparisons with the National Water Model show better performance in predicting flood peaks and overall water balance, underscoring the promises of our new framework for urban hydrologic modeling at large scales. …”
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Are the Largest Benefits of Kilometer‐Scale Climate Models Over Mountains or Over Flatland? by Basile Poujol, Junhong Lee, Thomas Rackow, Mathias W. Rotach, Nikolina Ban

“…Using several models and configurations, we identify the choice of parameterizations as a possible important factor controlling mesoscale influences on mountain climate. …”
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Landscape sightline analysis on height control of land around architectural heritage sites: Nanshan Temple and Nanping Academy in Zhangzhou, China by Lina Yan, Liang Zheng, Yile Chen

“…This article uses the Nanshan Temple and Nanping Academy of Classical Learning and its surrounding architectural planning as the research objects, constructs a digital elevation model through geospatial technology combined with Grasshopper parameterization, and calculates the visible area when viewed from different positions. …”
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RESEARCH ON PARAMETRIC MODELING METHOD FOR RESIDUAL STRENGTH OF SUBSEA OIL AND GAS PIPELINE by ZHOU HongMing, ZHOU WenQing, MAO ZhenHua, LV ChaoQun

“…The experimental results show that the model is more reliable than the existing pipeline assessment criteria,it can be effectively used in residual strength analysis for subsea pipeline,the analysis results can provide theoretical basis for pipeline safety assessment.…”
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Architecture of the discrete sosine transformation processor for image compression systems on the losless-to-lossy circuit by V. V. Kliuchenia

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Linear Quadratic Optimal Modeling for Metro Train Operation and Solving with Interior-point Algorithm by FENG Jianghua, WANG Bin, HU Yunqing, XU Shaolong, LI Xiangyu

“…A state variable parameterization strategy in time domain was proposed, hence the original problem is transformed into a convex quadratic programming problem, furthermore an approximate solution of the energy optimal control problem can be obtained by applying primal-dual predictor-corrector interior-point algorithm.Two simulation cases show that the proposed strategy and algorithm can reach minimal energy consumption for the metro train operation process.…”
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Impacts of Air-Sea Energy Transfer on Typhoon Modelling by Difu Sun, Junqiang Song, Hongze Leng, Kaijun Ren, Xiaoyong Li

“…The results show that the track of Yutu is not sensitive to the choice of parameterization scheme, while the combinations of different parameterization schemes affect the intensity of Yutu. …”
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Revisiting the Role of SMAP Soil Moisture Retrievals in WRF-Chem Dust Emission Simulations over the Western U.S. by Pedro A. Jiménez y Muñoz, Rajesh Kumar, Cenlin He, Jared A. Lee

“…Sensitivity experiments show that emissions reduced to 25% in the GOCART-AFWA simulations largely reduced the AOD bias over the Southwest and lead to better agreement with the standard WRF-Chem parameterization of dust emissions (GOCART) and with observations. …”
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Muted Amazon Rainfall Response to Deforestation in a Global Storm‐Resolving Model by Arim Yoon, Cathy Hohenegger

“…Our results show no significant reduction in annual mean precipitation. …”
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