Improvement of Ice Particle Spectral Relative Dispersion Parameterization in the BCC‐AGCM Model and Its Impact on Global Climate Simulation by Pengcheng Lin, Chunsong Lu, Xin He, Yiming Liu, Tongwen Wu, Yixiong Lu, Junjun Li, Jing Yang, Lei Zhu, Xiangjun Shi, Qinyao Zou, Ru Zhou

“…The study emphasizes the importance of ice particle spectral relative dispersion and provides valuable insights for improving cloud microphysics parameterization schemes.…”
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Wave-turbulence decomposition and turbulence parameterization in aquatic wave environments using improved Synchrosqueezed Wavelet Transform (iSWT) by Xingxing Zhao, Daobin Ji, Lianghong Long, Zhongyong Yang, Zhengjian Yang, Defu Liu, Andreas Lorke

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Using Betts-Miller-Janjic convective parameterization scheme in H14-31 model to forecast heavy rainfall in Vietnam by Vu Thanh Hang, Kieu Thi Xin

“…The study of William A. Gallus Jr. showed that the higher the model resolution and more detailed convective parameterizations, the better the skill in quantitative precipitation forecast (QPF) in general [16]. …”
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Comparative Analysis of Convection Permitting Model and Cumulus Parameterization for Simulation of Summer Precipitation over Qinghai-Xizang （Tibetan） Plateau by Ying CHEN, Xianyu YANG, Yaqiong LÜ, Jun WEN, Jianing ZHU

“…The Qinghai-Xizang （Tibetan） Plateau is known as the Asian water tower.The change of its water resources has an important impact on the weather and climate in the lower reaches.Precipitation is a key role in the water cycle.Therefore， it is of great significance to accurately simulate plateau precipitation for water resources security in China.In recent years， some studies have found that the convection-permitting model （the cumulus parameterization scheme could be turned off when grid scale is less than 4 km） could improve the precipitation simulation over the Qinghai-Xizang （Tibetan） Plateau.However， the previous studies only selected 1~3 cumulus parameterization schemes for comparison.It is still unknown whether convection-permitting model is superior to any cumulus parameterization scheme.In this paper， the ability of nine cumulus parameterization schemes in WRF and convection-permitting model （CPM） in simulating the precipitation over the Qinghai-Xizang （Tibetan） Plateau in the summer of 2009 was evaluated.The results showed that the simulations overestimate the summer precipitation over Qinghai-Xizang （Tibetan） Plateau in 2009， and the error was about 0.4~2 mm·d-1.The over simulation of CAPE and latent heat flux in Qinghai-Xizang （Tibetan） Plateau may be one of the reasons for the overestimations.Among all simulations， the G3 cumulus parameterization scheme has the best simulation of the mean precipitation the mean precipitation and the dinural cycles precipitation and it can can better capture the precipitation intensity， spatial distribution， precipitation area and diurnal cycles of the mean precipitation.CPM showed overall the second best precipitation simulation following G3 cumulus parameterization scheme， which can not effectively improve the simulation of diurnal cycles of precipitation， but can improve the simulation of precipitation frequency.In different plateau ecological regions， all simulations cannot reasonably simulate the precipitation in the desert area and the southern foot of the Himalaya， but compared with the cumulus parameterization schemes， CPM can greatly reduce the error in the desert area.In other regions， CPM and Tiedtke cumulus parameterization scheme performed well.Considering the mean precipitation and precipitation frequency， the CPM， Tiedtke and G3 cumulus parameterization scheme have the minimum simulation error for precipitation in different regions and intensity.Therefore， we recommend to adopt G3 or Tiedtke cumulus parameterization schemes in simulating summer precipitation over the Qinghai-Xizang （Tibetan） Plateau， and when the computational resources are allowed， the high-resolution CPM can be considered to improve the precipitation frequency simulations.…”
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Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes by Chen Zhang, Lingwei Chen, Michael T. Brett

“…A new wind‐induced wave‐dependent Cd parameterization was also established and validated in two lake studies. …”
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Parametric Modeling and Finite Element Analysis of the Gear of Helical Gear Antiskid Differential by Zhang Xuewen, Chu Yaxu, Xiao Hui

“…The parameterized geometric model of gear of helical gear limited slip differential is built by using CATIA software,which can modification quickly according to the input parameters that improved the design quality and efficiency greatly. …”
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Enhanced Convective Microphysics Scheme and Its Impacts on Mean Climate in E3SM by Xiaoliang Song, Guang J. Zhang, Chris Terai, Shaocheng Xie

“…Simulations show that the cloud microphysical properties simulated by the CMP are generally in good agreement with observations. …”
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Parameterised analysis of blade profiles within electric submersible pump for enhancing energy conversion efficiency by Hui Wang, Yang Yang, Qingchen Che, Jinghe Hou, Dunwei Liu, Leilei Ji, Ling Zhou, Hui Li, Zhaoming He

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Impacts of Different Physical Parameterization Configurations on Widespread Heavy Rain Forecast over the Northern Area of Vietnam in WRF-ARW Model by Tien Du Duc, Cuong Hoang Duc, Lars Robert Hole, Lam Hoang, Huyen Luong Thi Thanh, Hung Mai Khanh

“…Both configurations using KF or BMJ schemes show that more complex cloud microphysics schemes can also improve the heavy rain forecast with the WRF-ARW model for the Bac Bo area of Vietnam.…”
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Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru by Aldo S. Moya-Álvarez, Daniel Martínez-Castro, José L. Flores, Yamina Silva

“…Spatial verification showed that, even if all the configurations overestimated precipitation in some degree, spatial patterns of rainfall match the TRMM and PISCO rainfall data. …”
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A comprehensive characterization of empirical parameterizations for OH exposure in the Aerodyne Potential Aerosol Mass Oxidation Flow Reactor (PAM-OFR) by Q. Liu, Q. Liu, Q. Liu, D. D. Huang, A. T. Lambe, S. Lou, L. Zeng, L. Zeng, Y. Wu, C. Huang, S. Tao, X. Cheng, Q. Chen, K. I. Hoi, K. I. Hoi, H. Wang, K. M. Mok, K. M. Mok, C. Huang, C. Huang, Y. J. Li, Y. J. Li

“…Several models have been developed to quantify the OH<span class="inline-formula">_exp</span> in OFRs, and empirical equations have been proposed to parameterize OH<span class="inline-formula">_exp</span>. …”
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Deep learning approaches for bias correction in WRF model outputs for enhanced solar and wind energy estimation: A case study in East and West Malaysia by Abigail Birago Adomako, Ehsan Jolous Jamshidi, Yusri Yusup, Emad Elsebakhi, Mohd Hafiidz Jaafar, Muhammad Izzuddin Syakir Ishak, Hwee San Lim, Mardiana Idayu Ahmad

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Sensitivity Analysis of Noah-MP Model Parameterization Schemes for Soil Moisture Simulation in the High-Cold Region of the Upper Heihe River Basin by Kexiu HUANG, Yuanhong YOU, Yanyu LU, Ying HAO, Zuo WANG, Jing SUN

“…In the context of climate change， accurately simulating soil moisture using land surface process models holds significant importance for weather forecasting， agricultural production， and hydrological processes.This study utilized meteorological observation data from the Arou site in the upper reaches of the Heihe River as the driving data for the Noah-MP model to conduct soil moisture simulation experiments， aiming to assess the soil moisture simulation performance of the Noah-MP model in the alpine mountainous area of the upper reaches of the Heihe River.Without considering uncertainties in model parameters and driving data， arbitrary combinations of the parameterization schemes for different physical processes of the Noah-MP model were made.A soil moisture multi-parameterization ensemble simulation experiment encompassing 17， 280 different combination schemes was designed.The Natural Selection sensitivity analysis method was employed to analyze the sensitivity of shallow soil moisture simulation results to the parameterization schemes and further quantify the uncertainty range of the simulation results of the soil moisture multi-parameterization ensemble.The results of this research indicate that the Noah-MP model can be applied to simulate soil moisture in the alpine mountainous area of the upper reaches of the Heihe river basin.The model demonstrates relatively high accuracy in simulating shallow soil moisture， and the simulated soil moisture change trends are generally consistent with the observed data.This consistency suggests that the Noah-MP model is well-suited for capturing the dynamics of shallow soil moisture in these regions.However， the simulation accuracy for deep soil moisture is relatively poor， with the simulated soil moisture change trends showing considerable deviations from the observed data.This suggests that there are still challenges in accurately modeling moisture dynamics at greater soil depths， potentially due to the complexity of subsurface hydrological processes in cold and mountainous environments.The analysis also reveals that shallow soil moisture simulation results are sensitive to the parameterization schemes of four physical processes： supercooled liquid water in frozen soil， frozen soil permeability， partitioning precipitation into rainfall and snowfall， and the first-layer snow or soil temperature time scheme.Among these， the parameterization scheme of frozen soil permeability is particularly sensitive， indicating that it plays a crucial role in determining the accuracy of the simulation results.During the soil freeze-thaw cycle in the alpine mountainous area of the upper reaches of the Heihe River， the simulation results of soil moisture during the freezing period showed increased sensitivity to parameterization schemes， making the selection of the parameterization scheme for the soil freezing process the main factor contributing to the uncertainty of the simulation results of the soil moisture multi-parameterization ensemble.…”
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Sensitivity of WRF model parameterizations in simulating extreme rainfall over complex terrain – case of July 2020 over the Poyang Lake basin, China by Jinru Wu, Jianzhong Lu, Xiaoling Chen

“…Increasing the horizontal resolution has a limited improvement in rainfall simulation (1.3%), while choosing a suitable parameterization schemes combination can significantly improve the simulation accuracy by 34.3%. (2) Among the 36 experiments, c5 containing parameterization schemes of Morrison, BMJ, YSU and Slab shows overall best performance in simulating accumulated areal rainfall as well as spatial and temporal distributions. (3) CU schemes have the largest impact on the rainfall simulation, followed by MP, PBL and LSM.…”
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Is Shallow Convection Sensitive to Environmental Heterogeneities? by Marcin J. Kurowski, Kay Suselj, Wojciech W. Grabowski

“…Abstract The key assumption underlying convection parameterizations is that rising plumes develop in a horizontally homogeneous environment. …”
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Effect of the Grell‐Freitas Deep Convection Scheme in Quasi‐Uniform and Variable‐Resolution Aquaplanet CAM Simulations by Jihyeon Jang, William C. Skamarock, Sang‐Hun Park, Colin M. Zarzycki, Koichi Sakaguchi, L. Ruby Leung

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Effect of salinity stress and genetical parameterers estimation of some burley (Hordeum Vulgare L.) Cultivars lines in seed germination and seedling primary growth stage by سید محمدرضا احتشامی, زهرا امین دلدار, خداداد مصطفوی, محمد گلباشی, علی ایزدی دربندی, مهدی ضرابی

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Direct measurement of N₂O₅ heterogeneous uptake coefficients on atmospheric aerosols in southwestern China and evaluation of current parameterizations by J. Li, T. Zhai, T. Zhai, X. Chen, H. Wang, S. Xie, S. Chen, C. Li, C. Li, Y. Gong, H. Dong, K. Lu

“…The aerosol water significantly promoted N<span class="inline-formula">₂</span>O<span class="inline-formula">₅</span> uptake, while particulate organics and nitrate showed suppression effects. We found that several parameterizations can capture the median of measured values, whereas none of the 10 parameterizations were able to reproduce the variabilities and showed poor correlations (<span class="inline-formula"><i>R</i>²=0.00</span>–0.09). …”
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Freezing Fog Microphysics and Visibility Based on CFACT Feb 19 Case by Onur Durmus, Ismail Gultepe, Orhan Sen, Zhaoxia Pu, Eric R. Pardyjak, Sebastian W. Hoch, Alexei Perelet, Anna G. Hallar, Gerardo Carrillo-Cardenas, Simla Durmus

“…Overall, comparisons suggested that Vis parameterizations are highly variable, and freezing fog conditions resulted in lower Vis values compared to warm fog microphysical parameterizations. …”
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Wing structural design of supersonic civil aircraft based on deep neural network by NIU Fanggan, MA Wenyuan, YANG Chao, WANG Yu, YIN Hailian

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