Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 by Z. Engberg, R. Teoh, T. Abbott, T. Dean, M. E. J. Stettler, M. L. Shapiro

“…Outputs are provided for <span class="inline-formula"><i>N</i></span> aircraft-engine groups, with groupings based on similarities in aircraft mass and engine particle number emissions: <span class="inline-formula"><i>N</i>=7</span> results in a 3 % mean error between the trajectory- and grid-based CoCiP, while <span class="inline-formula"><i>N</i>=3</span> facilitates operational simplicity but increases the mean error to 13 %. …”
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The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes by I. Wiekenkamp, A. K. Lehmann, A. Bütow, J. Hartmann, S. Metzger, S. Metzger, T. Ruhtz, C. Wille, M. Zöllner, T. Sachs, T. Sachs

“…The uncertainty of <span class="inline-formula"><i>w</i></span> is between 0.15 and 0.27 m s<span class="inline-formula">⁻¹</span> (median <span class="inline-formula">=</span> 0.23 m s<span class="inline-formula">⁻¹</span>), and the uncertainty of <span class="inline-formula"><i>u</i></span> and <span class="inline-formula"><i>v</i></span> ranges between 0.16 and 0.55 m s<span class="inline-formula">⁻¹</span> (median <span class="inline-formula">=</span> 0.25 m s<span class="inline-formula">⁻¹</span>). …”
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Development of a high-order global dynamical core using the discontinuous Galerkin method for an atmospheric large-eddy simulation (LES) and proposal of test cases: SCALE-DG v0.8.0 by Y. Kawai, H. Tomita, H. Tomita

“…By conducting several tests with various polynomial (<span class="inline-formula"><i>p</i></span>) orders, the impact of the high-order DGM on the accuracy of the numerical simulations of atmospheric flows was investigated. …”
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Evidence of slow millennial cliff retreat rates using cosmogenic nuclides in coastal colluvium by R. Bossis, R. Bossis, V. Regard, S. Carretier, S. Choy

“…We test this approach along the Mediterranean coast of the eastern Pyrenees (<span class="inline-formula"><i>n</i>=8</span>) and the desert coast in southern Peru (<span class="inline-formula"><i>n</i>=3</span>). …”
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Towards a high-quality in situ observation network for oxygenated volatile organic compounds (OVOCs) in Europe: transferring metrological traceability to the field by M. Iturrate-Garcia, T. Salameh, P. Schlauri, A. Baldan, M. K. Vollmer, E. Stratigou, S. Dusanter, J. Li, S. Persijn, A. Claude, R. Holzinger, C. Sutour, T. Macé, Y. Elshorbany, A. Ackermann, C. Pascale, S. Reimann

“…For the working standards based on certified spiked whole-air samples in pressurised cylinders, results showed a good agreement among the laboratories (i.e. differences within the measurement expanded uncertainty (<span class="inline-formula"><i>U</i></span>) ranging between 0.5 and 3.3 <span class="inline-formula">nmol mol⁻¹</span>) and with the certified amount of substance fraction for acetaldehyde (15.7 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 3.6 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>), acetone (17 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 1.5 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>) and MEK (12.3 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 2.3 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>). …”
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The surface tension and cloud condensation nuclei (CCN) activation of sea spray aerosol particles by J. Kleinheins, N. Shardt, U. Lohmann, C. Marcolli

“…In a sensitivity study we show that organic compounds can be categorized into weak, intermediate, and strong surfactants for CCN activation based on their separation factor in water <span class="inline-formula"><i>S</i>_1<i>i</i></span> and their pure component surface tension <span class="inline-formula"><i>σ</i>_<i>i</i></span>. …”
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Global decadal measurements of methanol, ethene, ethyne, and HCN from the Cross-track Infrared Sounder by K. C. Wells, D. B. Millet, J. F. Brewer, V. H. Payne, K. E. Cady-Pereira, R. Pernak, S. Kulawik, S. Kulawik, C. Vigouroux, N. Jones, E. Mahieu, M. Makarova, T. Nagahama, I. Ortega, M. Palm, K. Strong, M. Schneider, D. Smale, R. Sussmann, M. Zhou

“…The CrIS data are well correlated with ground-based Network for the Detection of Atmospheric Composition Change (NDACC) retrievals for methanol (<span class="inline-formula"><i>r</i></span> <span class="inline-formula">=</span> 0.77–0.84); HCN and ethyne exhibit lower correlations (<span class="inline-formula"><i>r</i></span> <span class="inline-formula">=</span> 0.36–0.44 and 0.56–0.65, respectively) with an apparent 40 % CrIS–NDACC disparity for ethyne. …”
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Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns by O. G. Norman, C. L. Heald, C. L. Heald, C. L. Heald, S. Bililign, P. Campuzano-Jost, H. Coe, H. Coe, M. N. Fiddler, J. R. Green, J. L. Jimenez, K. Kaiser, J. Liao, J. Liao, A. M. Middlebrook, B. A. Nault, B. A. Nault, B. A. Nault, J. B. Nowak, J. Schneider, A. Welti

“…Across all the campaigns, the model performance is best for sulfate (<span class="inline-formula"><i>R</i>²</span> <span class="inline-formula">=</span> 0.51; normalized mean bias (NMB) <span class="inline-formula">=</span> 0.11) and worst for nitrate (<span class="inline-formula"><i>R</i>²=0.22</span>; NMB <span class="inline-formula">=</span> 1.76), indicating substantive model deficiencies in the nitrate simulation. …”
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Ice-proximal sea ice reconstruction in the Powell Basin, Antarctica, since the Last Interglacial by W. W. Khoo, J. Müller, J. Müller, J. Müller, O. Esper, W. Xiao, C. Stepanek, P. Gierz, G. Lohmann, G. Lohmann, G. Lohmann, W. Geibert, J. Hefter, G. Mollenhauer, G. Mollenhauer, G. Mollenhauer

“…We analyze the novel sea ice biomarker IPSO<span class="inline-formula">₂₅</span> (a di-unsaturated highly branched isoprenoid (HBI)), open-water biomarkers (tri-unsaturated HBIs; <span class="inline-formula"><i>z</i></span>-/<span class="inline-formula"><i>e</i></span>-trienes), and the diatom assemblage and primary productivity indicators in a marine sediment core retrieved from the Powell Basin, NW Weddell Sea. …”
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Contrasting seasonal patterns in particle aggregation and dissolved organic matter transformation in a sub-Arctic fjord by M. G. Digernes, Y. V. Bodur, M. Amargant-Arumí, O. Müller, J. A. Hawkes, S. G. Kohler, U. Dietrich, M. Reigstad, M. L. Paulsen

“…The change in POC concentrations was significantly different between the biologically productive period and the winter period (<span class="inline-formula"><i>t</i></span> test; <span class="inline-formula"><i>p</i>&lt;0.05</span>). …”
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Development of wader-fish (Rasbora argyrotaenia) and kidney beans as a supplementary food: A source of protein and minerals for toddlers aged 12-24 months by Palupi Eny, Isni Oktaviani Rachmalia, Purnaningsih Ninuk, Saraswati Yudhistira, Eka Putri Wahyu, Chandra Iwansyah Ade

“…The ratio of 70:30 was chosen as the optimal formula. One serving (125 g) contained 23.3% energy, 81.35% protein, 86.80% calcium, 74.82% iron, and 102.08% zinc.…”
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ANALISIS PEMANFAATAN PEKARANGAN UNTUK MENDUKUNG KETAHANAN PANGAN DI KECAMATAN RUMBAI PESISIR KOTA PEKANBARU YARD UTILIZATION ANALYSIS IN SUPPORT OF FOOD SECURITY INRUMBAI PESI... by Niken Nurwati, Surtinah surtinah, Amalia Masykur

“…Net income of farm yard using the formula : I = TR - TC . The utilization of research results in the District Rumbai yard Pesisir city of Pekanbaru , for vegetables , fruit and food crops is low , and the District Rumbai Pesisir of Pekanbaru City potential for increased utilization of the yard , especially commodity shallow root vegetables in a narrow area . …”
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Pregled dimenzioniranja Peltonove turbine by Ivana Sušanj Čule, Doris Vračević, Nevenka Ožanić

“…S obzirom da postoji cijeli niz različitih formula i preporuka za dimenzioniranje, cilj ovoga rada bio je objediniti i dati pregled istih na jednom mjestu. …”
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Effect of dietary protein level and lamb breed on meat physicochemical traits, fatty acid profile and nutritional indices by H. Hajji, S. Smeti, I. Mekki, N. Atti

“…The <span class="inline-formula"><i>n</i>−3</span> and <span class="inline-formula"><i>n</i>−6</span> polyunsaturated FA (PUFA) contents were higher (<span class="inline-formula"><i>P</i><i>&lt;</i>0.001</span>) for meat of fat-tailed BB than other breeds, resulting in a higher total PUFA and higher PUFA <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="57ee8123d9c9aefcf23d9c7f6463c158"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-68-57-2025-ie00001.svg" width="8pt" height="14pt" src="aab-68-57-2025-ie00001.png"/></svg:svg></span></span> SFA ratio (0.135 vs. 0.09, where SFA represents saturated fatty acid). …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

“…The distribution of CT follows an exponential linear distribution and can be characterized by a single slope parameter <span class="inline-formula"><i>k</i></span>. This distribution is independent of the BC core's distribution. …”
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Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data by K. N. Reddy, S. Baidya Roy, S. S. Rabin, D. L. Lombardozzi, D. L. Lombardozzi, G. V. Varma, R. Biswas, D. C. Naik

“…The <span class="inline-formula"><i>r</i></span> value of the monthly sensible and latent heat fluxes improved from 0.76 and 0.52 to 0.9 and 0.88, respectively. …”
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Assessment framework to predict sensitivity of marine calcifiers to ocean alkalinity enhancement – identification of biological thresholds and importance of precautionary principle... by N. Bednaršek, H. van de Mortel, G. Pelletier, G. Pelletier, M. García-Reyes, R. A. Feely, A. G. Dickson, A. G. Dickson

“…The results show that 34.4 % of responses are predicted to be positive (<span class="inline-formula"><i>N</i>=33</span>), 26.0 % negative (<span class="inline-formula"><i>N</i>=25</span>), and 39.2 % (<span class="inline-formula"><i>N</i>=38</span>) neutral upon alkalinity addition. …”
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General Six-Step Discrete-Time Zhang Neural Network for Time-Varying Tensor Absolute Value Equations by Min Sun, Jing Liu

“…Firstly, based on the Taylor expansion theory, we derive a general Zhang et al. discretization (ZeaD) formula, i.e., a general Taylor-type 1-step-ahead numerical differentiation rule for the first-order derivative approximation, which contains two free parameters. …”
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A new method for calculating highway blocking due to high-impact weather conditions by D. Liu, T. Jing, T. Jing, T. Jing, M. Yan, I. Gultepe, Y. Bao, Y. Bao, Y. Bao, H. Wang, F. Zu

“…Based on the <span class="inline-formula"><i>K</i></span>-means cluster analysis and the CRITIC (criteria importance through intercriteria correlation) weight assignment method, we analyzed the highway-blocking events that occurred in Chinese provinces in 2020. …”
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Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal by A. Dunant, T. R. Robinson, A. L. Densmore, N. J. Rosser, R. M. Rajbhandari, M. Kincey, S. Li, P. R. Awasthi, M. Van Wyk de Vries, M. Van Wyk de Vries, R. Guragain, E. Harvey, S. Dadson

“…We apply this model to the 2015 <span class="inline-formula"><i>M</i>_w</span> 7.8 Gorkha earthquake in Nepal as a case study, demonstrating its ability to simulate the primary and secondary effects of the earthquake on buildings and roads across the whole earthquake-affected area. …”
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