Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP by Jing Ren, Chunlin Huang, Jinliang Hou, Ying Zhang, Ling Yang

“…New hydrological insights for the region: DA_G&A showed a significant increase in deep snow area (SD >15 cm), and a decrease in shallow snow area (SD<5 cm). …”
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An object-based and Lagrangian view on an intense hailstorm day in Switzerland as represented in COSMO-1E ensemble hindcast simulations by K. P. Brennan, M. Sprenger, A. Walser, M. Arpagaus, H. Wernli

“…We show that COSMO-1E with HAILCAST produces realistic storm tracks and lifespans that are in good agreement with radar observations. …”
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LCAMNet: a lightweight model for apple leaf disease classification in natural environments by Yuanyuan Jiao, Honghui Li, Xueliang Fu, Buyu Wang, Buyu Wang, Kaiwen Hu, Shuncheng Zhou, Daoqi Han

“…The network integrates depthwise separable convolutions and structural re-parameterization techniques to achieve efficient modeling. …”
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Aerodynamic Optimization of Morphing Airfoil by PCA and Optimization-Guided Data Augmentation by Ao Guo, Jing Wang, Miao Zhang, Han Wang

“…Additionally, Shapley Additive Explanation (SHAP) analysis reveals interpretable correlations between principal component modes and aerodynamic performances. Experimental results show that the optimized airfoil achieves a 54.66% increase in low-speed cruise lift-to-drag ratio and 10.90% higher climb lift compared to the baseline. …”
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Impact on the stratocumulus-to-cumulus transition of the interaction of cloud microphysics and macrophysics with large-scale circulation by J.-Y. Chun, R. Wood, P. N. Blossey, S. J. Doherty, S. J. Doherty

“…</p> <p>Results show that the cloud response to aerosol injection differs significantly depending on whether stratified adjustments in the large-scale circulation in response to buoyancy perturbations are considered. …”
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Comparison of Analysis and Spectral Nudging Techniques for Dynamical Downscaling with the WRF Model over China by Yuanyuan Ma, Yi Yang, Xiaoping Mai, Chongjian Qiu, Xiao Long, Chenghai Wang

“…Moreover, dynamical downscaling is now performed at the convection-permitting scale to reduce the parameterization uncertainty and obtain the finer resolution. …”
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Mechanistic Impacts of a Scale‐Aware Convection Scheme on Typhoon Intensity: Diagnostics From Minimum Sea‐Level Pressure by Yanjie Liu, Xiaocong Wang, Yimin Liu, Hao Miao, Xuesong Zhu, Wei Huang, Yaxin Zhao, Kai Wang

“…The results of four typhoon cases show the scale‐aware CPS generally reduces the track error by about 15 km and the intensity error by about 10% compared to the default CPS. …”
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Dissipation Scaling with a Variable <i>C_ϵ</i> Coefficient in the Stable Atmospheric Boundary Layer by Marta Wacławczyk, Jackson Nzotungishaka, Paweł Jędrejko, Joydeep Sarkar, Szymon P. Malinowski

“…However, a series of recent theoretical works and laboratory experiments showed that <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>C</mi><mi>ϵ</mi></msub></semantics></math></inline-formula> depends on the local Reynolds number. …”
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Interaction-Temporal GCN: A Hybrid Deep Framework For Covid-19 Pandemic Analysis by Zehua Yu, Xianwei Zheng, Zhulun Yang, Bowen Lu, Xutao Li, Maxian Fu

“…Experimental results show that IT-GCN is able to capture the comprehensive interaction-temporal topology and achieve well-performed short-term prediction of the Covid-19 daily infected cases in the United States. …”
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High-resolution modeling of early contrail evolution from hydrogen-powered aircraft by A. Lottermoser, S. Unterstrasser

“…</p> <p>Our results show that vortex phase processes reduce the 4-order-of-magnitude difference in ice crystal number to 2 orders of magnitude. …”
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Evaluating the accuracy of nine canopy resistance models in estimating winter wheat evapotranspiration using the Penman–Monteith equation by Yingnan Wu, Qiaozhen Li, Xiuli Zhong, Xiaoying Liu

“…The results showed that the FA, KP, and ST models performed better in estimating daily ET with original parameters, achieving a root mean square error (RMSE) of 1.07–1.16 mm d−1 and a mean bias error (MBE) of −0.59–0.02 mm d−1. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…Multivariate probability density analysis confirms the model’s robustness through enhanced capture of nonlinear atmospheric-land interactions and reduced parameterization uncertainties via swarm intelligence optimization. …”
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Validation and uncertainty quantification of three state-of-the-art ammonia surface exchange schemes using NH₃ flux measurements in a dune ecosystem by T. Jongenelen, M. van Zanten, M. van Zanten, E. Dammers, E. Dammers, R. Wichink Kruit, A. Hensen, L. Geers, J. W. Erisman

“…The sensitivity analysis further reinforced these results, showing how uncertainty in essential model parameters in the external resistance (<span class="inline-formula"><i>R</i>_w</span>) and compensation point parameterization propagated into diverging model outcomes. …”
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Hybrid Hunger Games Search optimization using a neural networks approach applied to UAVs by Nadia Samantha Zuñiga-Peña, Salatiel Garcia-Nava, Norberto Hernandez-Romero, Juan Carlos Seck-Touh-Mora

“…Many engineering problems, such as controller parameterization, can be addressed using population-based algorithms since these parameters are usually found through essays, resulting in high time and resource consumption. …”
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The role of root dynamics on the climate sensitivity of ecohydrological processes of over- and understory in a semi-arid groundwater-dependent ecosystem by Qiyue Liu, Ana P. Barros

“…DCHM-VDR features a moisture-driven root parameterization that simulates dynamic root profiles and hydraulic redistribution (HR). …”
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Impact of modulating surface heat flux through sea ice leads on Arctic sea ice in EC-Earth3 in different climates by T. Tian, R. Davy, L. Ponsoni, S. Yang

“…We aim to assess how this parameterization (referred to as ECE3L) influences the persistent positive bias in Arctic sea ice (concentration and thickness) in the global climate model EC-Earth3 (ECE3). …”
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OKG-ConvGRU: A Domain Knowledge-Guided Remote Sensing Prediction Framework for Ocean Elements by Renhao Xiao, Yixiang Chen, Lizhi Miao, Jie Jiang, Donglin Zhang, Zhou Su

“…Physical models are constrained by modeling complexity and parameterization errors, while data-driven models lack interpretability and depend on high-quality data. …”
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Silkworm segmentation based on encoder-decoder structure by Huimin Zhuang, Zicheng Liu, Jianping Dong, Dequan Guo, Guoquan Yuan, Bo Liu, Yu Liu

“…Experimental results show that the improved model achieved an Intersection over Union (IoU) of 80.74 % and a Dice similarity coefficient (Dice) of 88.96 %, with an inference time of only 5.93 ms per image. …”
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Studies on the Climate Effects of Black Carbon Aerosols in China and Their Sensitivity to Particle Size and Optical Parameters by Xingxing Ma, Hongnian Liu, Xueyuan Wang, Zhen Peng

“…As a whole, the variations of circulation, pressure, and temperature show a good correspondence.…”
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Redshift Evolution of the X-Ray and Ultraviolet Luminosity Relation of Quasars: Calibrated Results from SNe Ia by Xiaolei Li, Ryan E. Keeley, Arman Shafieloo

“…Assuming all the quasar samples are reliable, our results show that there is about a 4 σ inconsistency between the quasar parameters inferred from the subsamples without considering evolution. …”
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