The Critical Role of Sea Ice Products for Accurate Wind‐Wave Simulations in the Arctic by Tyler W. Miesse, Martin Henke, Andre deSouza de Lima, Celso M. Ferreira, Thomas Ravens

“…The Simulating WAves Nearshore (SWAN) model's accuracy in simulating waves using these sea ice products was evaluated against Sea State Daily Multisensor L3 satellite observations. Results show wave simulations using ERA5 consistently exhibited high correlation with observations, maintaining an accuracy above 0.83 to the observations across all events. …”
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Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

“…A 5½-inch standard casing (inner diameter 124.26 mm) and high-precision pressure monitoring equipment were used to carry out the 70 MPa holding pressure test. The results show that the pressure fluctuation rate of the optimized sealing ring is less than 0.5% during the holding pressure period, the mass of the bucket before and after weighing remains constant at 2.689 kg, and the disassembly observation shows that there is no liquid residue in the inner wall of the casing, and the metal sealing ring has no plastic deformation or fracture. …”
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Multi-Objective Optimization Design of Low-Frequency Band Gap for Local Resonance Acoustic Metamaterials Based on Genetic Algorithm by Jianjiao Deng, Yunuo Qin, Xi Chen, Yanyong He, Yu Song, Xinpeng Zhang, Wenting Ma, Shoukui Li, Yudong Wu

“…Within a COMSOL Multiphysics 6.2 with MATLAB R2024b co-simulation framework, a parameterized unit cell model of the metamaterial is constructed. …”
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Putting the spotlight on small cloud droplets with SmHOLIMO – a new holographic imager for in situ measurements of clouds by C. Fuchs, F. Ramelli, D. Schweizer, U. Lohmann, J. Henneberger

“…This can lead to uncertainties in the microphysics and thus in weather and climate models, which are based on parameterizations often derived from these measurements.…”
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ELM‐Wet: Inclusion of a Wet‐Landunit With Sub‐Grid Representation of Eco‐Hydrological Patches and Hydrological Forcing Improves Methane Emission Estimations in the E3SM Land Model... by Theresia Yazbeck, Gil Bohrer, Madeline E. Scyphers, Justine E. C. Missik, Oleksandr Shchehlov, Eric J. Ward, Sergio L. Merino, Robert Bordelon, Diana Taj, Jorge A. Villa, Kelly Wrighton, Qing Zhu, William J. Riley

“…We use Bayesian Optimization to parameterize CO2 and CH4 fluxes in the developed wet‐landunit. …”
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Improved Representations of Land‐Atmosphere Interactions Over the Continental U.S. Through Dynamic Root Modeling by Zhao Yang, Guo‐Yue Niu, Yun Qian, Larry K. Berg, Jerome Fast, Colleen M. Kaul, Jingyi Chen, Koichi Sakaguchi, Sheng‐Lun Tai, Brian Gaudet, Ye Liu, Heng Xiao

“…When compared with reference data sets, the DynRt simulations show improved results than the StcRt simulations, reducing biases in the simulated leaf area index, surface energy fluxes, soil moisture and precipitation. …”
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Optimizing the Radiative Transfer Model Using Deep Neural Networks for NISAR Soil Moisture Retrieval by Xiaodong Huang, Lorenzo Giuliano Papale, Marco Lavalle, Fabio Del Frate, Heresh Fattahi, Steven K. Chan, Rowena B. Lohman, Xiaolan Xu, Yunjin Kim

“…The retrieved volumetric soil moisture also shows a very high agreement with the in situ soil moisture, achieving the RMSE of 5.65&#x0025; and <italic>R</italic>² of 0.7.…”
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The global mapping of electron precipitation and ionospheric conductance from whistler-mode chorus waves by Dillon Gillespie, Hyunju Kim Connor, Qianli Ma, Qianli Ma, Xiao-Jia Zhang, Xiao-Jia Zhang, Xiao-Chen Shen, Dogacan Ozturk, Nigel P. Meredith

“…This paper quantifies the impact of chorus waves on the diffuse aurora and the ionospheric conductance during quiet, medium, and strong geomagnetic activities, parameterized by AE &lt;100, 100 &lt; AE &lt; 300, and AE &gt; 300, respectively. …”
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Propagation Speeds of Relativistic Conformal Particles from a Generalized Relaxation Time Approximation by Alejandra Kandus, Esteban Calzetta

“…We seek a solution of the kinetic equation by assuming a parameterized one-particle distribution function (1-pdf) which generalizes the Chapman–Enskog (Ch-En) solution to the RTA. …”
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Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations by L.-S. Höyns, L.-S. Höyns, L.-S. Höyns, T. Kleiner, A. Rademacher, M. Rückamp, M. Wolovick, M. Wolovick, A. Humbert, A. Humbert

“…Further comparison reveals that the basal drag coefficient field has a less variable spatial structure when an effective pressure from the hydrology model is used instead of a parameterized effective pressure, allowing us to interpret the inverted drag coefficient more precisely in terms of the basal properties rather than the basal hydrology.…”
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Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model by Xun Zhao, Jianbo Qi, Jingyi Jiang, Shangbo Liu, Haifeng Xu, Simei Lin, Zhexiu Yu, Linyuan Li, Huaguo Huang

“…For comparison, we also trained an estimation model using a dataset generated from PROSAIL. The results show that estimation model trained with Semi-LESS surpasses PROSAIL in retrieving LCC from both simulation datasets and field measurements of two forest plots. …”
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Sensitivity studies of a four-dimensional local ensemble transform Kalman filter coupled with WRF-Chem version 3.9.1 for improving particulate matter simulation accuracy by J. Lin, J. Lin, T. Dai, L. Sheng, W. Zhang, S. Hai, Y. Kong

“…The promising results show that significant improvements have been made by analysis in the simulation of particulate matter during a severe haze event. …”
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Exploring HONO production from particulate nitrate photolysis in representative regions of China: characteristics, influencing factors, and environmental implications by B. Li, J. Gao, C. Chen, L. Wen, Y. Zhang, J. Li, Y. Zhang, X. Du, K. Zhang, J. Wang

“…We developed a method to correct and quantify the “shadowing effect” – potential light extinction within aerosol layers under heavy PM<span class="inline-formula">_2.5</span> loading conditions on the filters – for <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>J</mi><mrow class="chem"><msubsup><mi mathvariant="normal">NO</mi><mn mathvariant="normal">3</mn><mo>-</mo></msubsup><mo>-</mo><mi mathvariant="normal">HONO</mi></mrow></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="54pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="4edd2265d914d45ff748aea0203990f6"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-24-13183-2024-ie00002.svg" width="54pt" height="16pt" src="acp-24-13183-2024-ie00002.png"/></svg:svg></span></span> measurements, showing that elemental carbon (EC), the dominant light-absorbing component in PM<span class="inline-formula">_2.5</span>, plays a dominant role in it. …”
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WRF-Chem simulations of snow nitrate and other physicochemical properties in northern China by X. Wang, X. Wang, T. Che, T. Che, X. Ruan, S. Yue, S. Yue, J. Wang, J. Wang, C. Zhao, C. Zhao, C. Zhao, L. Geng, L. Geng, L. Geng

“…The model results show an underestimation especially in regions closes to large cities in northeastern China, most likely due to the underestimation of NO<span class="inline-formula">_<i>x</i></span> emissions in these regions. …”
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CCN estimations at a high-altitude remote site: role of organic aerosol variability and hygroscopicity by F. Rejano, F. Rejano, A. Casans, A. Casans, M. Via, J. A. Casquero-Vera, J. A. Casquero-Vera, S. Castillo, S. Castillo, H. Lyamani, A. Cazorla, A. Cazorla, E. Andrews, E. Andrews, D. Pérez-Ramírez, D. Pérez-Ramírez, A. Alastuey, F. J. Gómez-Moreno, L. Alados-Arboledas, L. Alados-Arboledas, F. J. Olmo, F. J. Olmo, G. Titos, G. Titos

“…This method also shows a large bias, especially during midday hours (up to 40 %), indicating that diurnal information about the oxygenation degree does not improve CCN predictions. …”
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Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study by P. A. Makar, P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. O. Bash, M. D. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. E. Clifton, O. E. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, A. Lupascu, J. A. Lynch, K. Momoh, J. L. Perez-Camanyo, J. Pleim, Y.-H. Ryu, R. San Jose, D. Schwede, D. Schwede, T. Scheuschner, M. W. Shephard, R. S. Sokhi, S. Galmarini

“…Annual sulfur and nitrogen deposition prediction variability was linked to SO<span class="inline-formula">₂</span> and HNO<span class="inline-formula">₃</span> dry-deposition parameterizations, and diagnostic analysis showed that the cuticle and soil deposition pathways dominate the deposition mass flux of these species. …”
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Biogeochemical versus biogeophysical temperature effects of historical land-use change in CMIP6 by A. A. Amali, C. Schwingshackl, A. Ito, A. Barbu, C. Delire, D. Peano, D. M. Lawrence, D. Wårlind, E. Robertson, E. L. Davin, E. L. Davin, E. L. Davin, E. Shevliakova, I. N. Harman, N. Vuichard, P. A. Miller, P. J. Lawrence, T. Ziehn, T. Hajima, V. Brovkin, V. Brovkin, Y. Zhang, V. K. Arora, J. Pongratz, J. Pongratz

“…To understand the regional drivers (and thus potential levers to alter the climate), we show the contribution of each grid cell to LUC-induced global temperature change, as a warming contribution over the tropics and subtropics with a nuanced cooling contribution over the mid-latitudes. …”
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Effects of Organic Acid Coagulants on the Textural and Physical–Chemical Properties of Tofu by Carolina Paz-Yépez, Mariana Gavilanes-Tomalá, Julio Palmay-Paredes, Grace Medina-Galarza, Sebastián Guerrero-Luzuriaga, Borja Velázquez Martí

“…The treatments with the lowest coagulation time were analyzed for texture by TPA, color through the CIEL*a*b scale, protein content, and moisture. The results showed that the rice vinegar + 3% white vinegar (T6C3) treatment showed the lowest coagulation time (0.78 min). …”
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The hyperfine splitting in QCD mesonic screening masses at asymptotically large temperatures by Marco Cè, Leonardo Giusti, Davide Laudicina, Michele Pepe, Pietro Rescigno

“…Indeed, the comparison with existing non-perturbative results shows that higher order (non-perturbative) contributions in g are needed to explain the data up to the highest temperature explored, which is of the order of the electroweak scale.…”
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Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma by Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti

“…In particular, quantum machine learning shows promising generalization capabilities, which we have exploited in the classification of hepatocellular carcinoma tissue based on microarray gene expressions. …”
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