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  1. 161

    The Impacts of Vapor Transport on Land-atmospheric Water & Heat Exchanges over the Yarlung Zangbo Grand Canyon Area by Qiang ZHANG, jun WEN, yiting YANG, dongyu JIA, wenhui LIU, yaling CHEN, xuancheng LU

    Published 2023-06-01
    “…The Yarlung Zangbo Grand Canyon region (referred to as the YGC), located in the southeast Qinghai-Xizang Plateau, is the main channel of the warm and humid air transported from the India Ocean to the Qinghai-Xizang Plateau (referred to as the QXP), and it plays an important role in the water and energy cycle of the QXP.In order to explore the influences of the different horizontal water vapor transport on the water & heat exchanges flux, the water vapor intensity over the YGC from May 20, to July 9, 2013, was divided into three levels: strong, weak, and very weak based on the ECMWF Re-Analyses version5 data.And the fifth-generation public land model (Community Land Model version 5.0, CLM5.0) was deployed to simulate the impact of the horizontal water vapor transport on the YGC-atmospheric water and heat exchanges.The results show that the south (east) boundary of the YGC is the main input (output) boundary of water vapor, and the YGC valley over the south of the YGC is a strong water vapor transport belt.The YGC-atmospheric water & heat exchanges fluxes simulated by CLM5.0 has large errors compared to the actual measurements, the CLM5.0 simulated near-surface water & heat exchanges fluxes over the YGC have a high accuracy by optimizing the thermal roughness length (Z0h) parameterization schemes replacing the default soil attribute data-set.Compared with the simulations by using the CLM5.0 default parameterization scheme, the one developed by Zeng and Dickinson (1998).…”
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  2. 162

    Assessing changes in atmospheric circulation due to ecohydrological restoration: how can global climate models help? by Anastassia M. Makarieva, Anastassia M. Makarieva, Anastassia M. Makarieva, Andrei V. Nefiodov, Andrei V. Nefiodov, Andrei V. Nefiodov, Luz Adriana Cuartas, Luz Adriana Cuartas, Antonio Donato Nobre, Antonio Donato Nobre, Felipe Pasini, Felipe Pasini, Dayana Andrade, Dayana Andrade, Paulo Nobre, Paulo Nobre

    Published 2025-07-01
    “…Here, based on the law of mass conservation, we show that a necessary condition for runoff to increase alongside evapotranspiration is an increase in precipitation coupled to a change in air circulation. …”
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  3. 163

    Characteristics and Mechanisms of Non‐Stationary Turbulence in a Megacity Area by Jiesheng Xue, Lu Zhang, Linlin Wang, Alexander Baklanov, Yuanjian Yang

    Published 2025-07-01
    “…Based on the observational data in Beijing, we investigated the characteristics and potential physical mechanisms of turbulent non‐stationarity in a megacity area. The results show that the proportion of non‐stationary turbulence in Beijing reached 52.41% in 2017. …”
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  4. 164

    The importance of degradation mode analysis in parameterising lifetime prediction models of lithium-ion battery degradation by Ruihe Li, Niall D. Kirkaldy, Fabian F. Oehler, Monica Marinescu, Gregory J. Offer, Simon E. J. O’Kane

    Published 2025-03-01
    “…This work proves that parameterizing using only capacity and power fade is no longer sufficient, and experimental and modelling degradation studies should include degradation mode analysis for parameterization in the future.…”
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  5. 165

    Airfoil Optimization and Analysis Using Global Sensitivity Analysis and Generative Design by Pablo Rouco, Pedro Orgeira-Crespo, Guillermo David Rey González, Fernando Aguado-Agelet

    Published 2025-02-01
    “…The research employs Kulfan CST and Bézier surface parameterization methods combined with global sensitivity analysis (GSA) and machine learning techniques to improve airfoil performance under various operational conditions. …”
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  6. 166

    Constraining Black Carbon Aging in Global Models to Reflect Timescales for Internal Mixing by Laura Fierce, Yinrui Li, Yan Feng, Nicole Riemer, Nick A. J. Schutgens, Allison C. Aiken, Manvendra K. Dubey, Po‐Lun Ma, Donald Wuebbles

    Published 2025-06-01
    “…We show that, while highly variable, the average timescale for internal mixing is approximately 3 hr, which is much shorter than the 24‐hr aging timescale traditionally applied in bulk aerosol models. …”
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  7. 167

    Brownness of organics in anthropogenic biomass burning aerosols over South Asia by C. Navinya, T. S. Kapoor, G. Anurag, G. Anurag, C. Venkataraman, C. Venkataraman, H. C. Phuleria, H. C. Phuleria, R. K. Chakrabarty

    Published 2024-12-01
    “…This leads to oversimplified model parameterization and subsequent uncertainty in regional radiative forcing. …”
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  8. 168

    Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models by D. Storkey, P. Mathiot, M. J. Bell, D. Copsey, C. Guiavarc'h, H. T. Hewitt, J. Ridley, M. J. Roberts

    Published 2025-05-01
    “…This set of biases is largely absent with a non-eddying ocean model and reduced with an eddy-rich ocean model. We show that damping the gyres and the ASC in the eddy-permitting model, either by introducing a parameterization of baroclinic instability or by changing the lateral momentum boundary condition to increase bathymetric drag, acts to alleviate all the biases. …”
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  9. 169

    Parametric Optimization of Train Brake Pad Using Reverse Engineering with Digital Photogrammetry 3D Modeling Method by P Paryanto, Muhammad Faizin, R Rusnaldy

    Published 2025-05-01
    “…This suggested that reverse parameterization significantly accelerated computer-aided design (CAD) model reconstruction and reduced the part redesign development cycle. …”
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  10. 170

    YOLO-FDCL: Improved YOLOv8 for Driver Fatigue Detection in Complex Lighting Conditions by Genchao Liu, Kun Wu, Wei Lan, Yunjie Wu

    Published 2025-08-01
    “…Experimental results show that on the YAWDD dataset, compared to the baseline YOLOv8-S, precision increased from 97.4% to 98.8%, recall improved from 96.3% to 97.5%, mAP@0.5 increased from 98.0% to 98.8%, and mAP@0.5:0.95 increased from 92.4% to 94.2%. …”
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  11. 171

    Statistical resolution of ambiguous HLA typing data. by Jennifer Listgarten, Zabrina Brumme, Carl Kadie, Gao Xiaojiang, Bruce Walker, Mary Carrington, Philip Goulder, David Heckerman

    Published 2008-02-01
    “…Our improvements are achieved by using a parsimonious parameterization for haplotype distributions and by smoothing the maximum likelihood (ML) solution. …”
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  12. 172

    Quantitative Relationships Between Basalt Geochemistry, Shear Wave Velocity, and Asthenospheric Temperature Beneath Western North America by M. Klöcking, N. J. White, J. Maclennan, D. McKenzie, J. G. Fitton

    Published 2018-09-01
    “…This difference coincides with a westward decrease in average lithospheric thickness from ∼240 to <100 km. Tomographic models show that slow shear wave velocity anomalies lie beneath this region, coinciding with the pattern of basaltic magmatism. …”
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  13. 173

    Risk−Based Cost−Benefit Optimization Design for Steel Frame Structures to Resist Progressive Collapse by Feng Guo, Xuancen Li, Aiyan Xu, Yuchen Zhang, Wanping Pan

    Published 2024-12-01
    “…Finally, the model’s effectiveness is validated through a case study, where the refined single-frame structure shows a reduction in initial construction and collapse-related costs by 2.4% and 9.1%, respectively. …”
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  14. 174

    $$V_{cb}$$ V cb puzzle in semi-leptonic $$B\rightarrow D^*$$ B → D ∗ decays revisited by Shuang-Yi Li, Jie Xu, Rui-Xiang Shi, Li-Sheng Geng, Yi Zhang

    Published 2025-08-01
    “…We examine the commonly used Caprini–Lellouch–Neubert (CLN), Boyd–Grinstein–Lebed (BGL), and heavy quark effective theory (HQET) parameterizations. We demonstrate that these three parameterizations yield consistent results and reconfirm the $$V_{cb}$$ V cb puzzle. …”
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  15. 175

    MSKFaceNet: A Lightweight Face Recognition Neural Network for Low-Power Devices by Peng Zhang, Qinghua Ma, Yi Li, Min Cui

    Published 2025-01-01
    “…MSKFNet adopts a bottleneck design and introduces variable kernel convolutions from VarKNet, combined with channel shuffle and structural re-parameterization techniques, establishing an efficient CNN module for embedded systems. …”
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  16. 176

    The Role of Initial Soil Conditions in Shallow Landslide Triggering: Insights from Physically Based Approaches by L. Schilirò, G. Poueme Djueyep, C. Esposito, G. Scarascia Mugnozza

    Published 2019-01-01
    “…The results of the flume tests show that, for the same material, two different triggering mechanisms (i.e., uprise of a temporary water table and advance of the wetting front) occur by varying the initial water content only. …”
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  17. 177

    METHODOLOGICAL PRINCIPLES OF DEVELOPING THE STRUCTURE OF A DICTIONARY ENTRY FOR A “DICTIONARY OF THE LANGUAGE OF ORAL FOLKLORE” (STABLE AND TEXTUAL AND FIGURATIVE UNITS) by Ruslan L. Serdeha

    Published 2023-12-01
    “…In the future, we plan to pay more attention to various textual and figurative units of folklore and present more or less detailed samples of the parameterization of the abovementioned oral means. Text-figurative units can also be displayed in a separate dictionary dedicated to various artistic and figurative verbal means of oral folk art or only one of them.…”
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  18. 178

    Sensitivity Assessment on Satellite Remote Sensing Estimates of Primary Productivity in Shelf Seas by Xiaolong Zhao, Jianan Sun, Qingjun Fu, Xiao Yan, Lei Lin

    Published 2024-11-01
    “…The results showed that the sensitivity in the annual mean PP was approximately 40%. …”
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  19. 179

    Large eddy simulation of near-surface boundary layer dynamics over patchy snow by Michael Haugeneder, Michael Haugeneder, Michael Lehning, Michael Lehning, Océane Hames, Océane Hames, Mahdi Jafari, Dylan Reynolds, Dylan Reynolds, Rebecca Mott

    Published 2024-10-01
    “…However, the simulation underestimates vertical wind speed fluctuations, especially at high frequencies. Sensitivity analyses show that this is influenced by grid resolution and surface roughness representation but not much by subgrid-scale parameterization. …”
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  20. 180

    CONVERSION OF PROSODIC CHARACTERISTICS BASED ON THE PITCH CONTOUR PARAMETRIZATION by V. A. Zakharyeu, A. A. Petrovsky

    Published 2019-06-01
    “…The comparison analysis showed better quality of proposed method versus canonical method of pitch Gaussian normalization. …”
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