Seasonal variation in oxygenated organic molecules in urban Beijing and their contribution to secondary organic aerosol by Y. Guo, C. Yan, C. Yan, C. Yan, Y. Liu, X. Qiao, F. Zheng, Y. Zhang, Y. Zhou, C. Li, X. Fan, Z. Lin, Z. Feng, Y. Zhang, P. Zheng, P. Zheng, L. Tian, W. Nie, Z. Wang, D. Huang, K. R. Daellenbach, K. R. Daellenbach, L. Yao, L. Yao, L. Dada, L. Dada, F. Bianchi, J. Jiang, Y. Liu, V.-M. Kerminen, M. Kulmala, M. Kulmala

“…Among them, aromatic OOMs (29 %–41 %) and aliphatic OOMs (26 %–41 %) were the main contributors in all seasons, indicating that OOMs in Beijing were dominated by anthropogenic sources. …”
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<i>Rolling</i> vs. <i>seasonal</i> PMF: real-world multi-site and synthetic dataset comparison by M. Via, M. Via, G. Chen, G. Chen, F. Canonaco, F. Canonaco, K. R. Daellenbach, B. Chazeau, H. Chebaicheb, H. Chebaicheb, J. Jiang, H. Keernik, H. Keernik, C. Lin, N. Marchand, C. Marin, C. Marin, C. O'Dowd, J. Ovadnevaite, J.-E. Petit, M. Pikridas, V. Riffault, J. Sciare, J. G. Slowik, L. Simon, L. Simon, J. Vasilescu, Y. Zhang, Y. Zhang, O. Favez, A. S. H. Prévôt, A. Alastuey, M. Cruz Minguillón

“…As far as correlation with external measurements is concerned, <i>rolling</i> PMF performed better than <i>seasonal </i>PMF globally for the ambient datasets investigated here, especially in periods between seasons. …”
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High frequency of new particle formation events driven by summer monsoon in the central Tibetan Plateau, China by L. Tang, M. Hu, M. Hu, D. Shang, X. Fang, J. Mao, W. Xu, J. Zhou, W. Zhao, Y. Wang, C. Zhang, Y. Zhang, J. Hu, L. Zeng, L. Zeng, C. Ye, S. Guo, S. Guo, Z. Wu, Z. Wu

“…In this study, intensive measurements were conducted at the Nam Co station (4730 m a.s.l.) in the central TP during both the pre-monsoon and summer monsoon seasons. The frequencies of NPF events exhibited evident seasonal differences with 15 % in the pre-monsoon season and 80 % in the monsoon season. …”
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The unexpected high frequency of nocturnal surface ozone enhancement events over China: characteristics and mechanisms by C. He, C. He, X. Lu, X. Lu, H. Wang, H. Wang, H. Wang, H. Wang, Y. Li, G. He, G. He, Y. He, Y. He, Y. Wang, Y. Zhang, Y. Zhang, Y. Liu, Y. Liu, Q. Fan, Q. Fan, S. Fan, S. Fan

“…The NOE event frequency is higher in industrialized city clusters (<span class="inline-formula">&gt;50</span> %) than in regions with lighter ozone pollution, and it is higher in the warm season (46 %) than in the cold season (36 %), consistent with the spatiotemporal evolution of ozone levels. …”
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How large is the design space for stratospheric aerosol geoengineering? by Y. Zhang, D. G. MacMartin, D. Visioni, B. Kravitz, B. Kravitz

“…However, different choices for the aerosol injection latitude(s) and season(s) have been shown to lead to significant differences in regional surface climate, introducing a design aspect to SAI. …”
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O₃ and PAN in southern Tibetan Plateau determined by distinct physical and chemical processes by W. Xu, Y. Bian, W. Lin, Y. Zhang, Y. Zhang, Y. Wang, Y. Wang, Z. Ma, X. Zhang, X. Zhang, G. Zhang, C. Ye, X. Xu

“…During the dry spring season, air masses rich in O<span class="inline-formula">₃</span> were associated with high-altitude westerly air masses that entered the TP from the west or the south, which frequently carried high loadings of stratospheric O<span class="inline-formula">₃</span> to NMC. …”
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ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY by Y. Zhang, Y. Zhang, F. Li, F. Li, F. Li, S. Zhang, S. Zhang, W. Hao, W. Hao, T. Zhu, L. Yuan, L. Yuan, F. Xiao, F. Xiao

“…The STA-CRF methods are tested on 2 scenes around Prydz Bay and Adélie Depression, where contain a variety of ice types during melt season. Experimental results indicate that the proposed method can resolve sea ice edge well in Marginal Ice Zone (MIZ) and show a robust distinction of ice and water.…”
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Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 by K. Yahya, K. Wang, P. Campbell, T. Glotfelty, J. He, Y. Zhang

“…Biases in other meteorological variables including relative humidity at 2 m, wind speed at 10 m, and precipitation tend to be site- and season-specific; however, with the exception of T2, consistent annual biases exist for most of the years from 2001 to 2010. …”
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Measurement report: Exchange fluxes of HONO over agricultural fields in the North China Plain by Y. Song, Y. Song, C. Xue, Y. Zhang, Y. Zhang, P. Liu, P. Liu, F. Bao, X. Li, Y. Mu, Y. Mu

“…Additionally, we estimate the HONO emission factor of <span class="inline-formula">0.68±0.07</span> % relative to the applied nitrogen during the whole growing season of summer maize. Accordingly, the fertilizer-induced soil HONO emission is estimated to be 22.3 and 60.8 Gg N yr<span class="inline-formula">⁻¹</span> in the North China Plain (NCP) and mainland China, respectively, representing a significant reactive nitrogen source. …”
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Ground cover rice production systems increase soil carbon and nitrogen stocks at regional scale by M. Liu, M. Dannenmann, S. Lin, G. Saiz, G. Yan, Z. Yao, D. E. Pelster, H. Tao, S. Sippel, Y. Tao, Y. Zhang, X. Zheng, Q. Zuo, K. Butterbach-Bahl

“…Covering paddy rice soils with films (so-called ground cover rice production system: GCRPS) can significantly reduce water demand as well as overcome temperature limitations at the beginning of the growing season, which results in greater grain yields in relatively cold regions and also in those suffering from seasonal water shortages. …”
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WHU VHF radar observations of the diurnal tide and its variability in the lower atmosphere over Chongyang (114.14° E, 29.53° N), China by C. Huang, C. Huang, C. Huang, C. Huang, S. Zhang, S. Zhang, S. Zhang, S. Zhang, Q. Zhou, F. Yi, F. Yi, F. Yi, F. Yi, K. Huang, K. Huang, K. Huang, K. Huang, Y. Gong, Y. Gong, Y. Gong, Y. Gong, Y. Zhang, Q. Gan, Q. Gan, Q. Gan, Q. Gan

“…We find that the DT was the dominant tidal component and showed remarkable height and season variations. A prominent seasonally dependent height variability characteristic is that maximum DT amplitude usually occurs around 6 km in the winter and spring months, which might be due to the tidal wave energy concentration arising from the reflections from the strong eastward tropospheric jet around 13 km and the ground surface. …”
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Volatile organic compounds at a rural site in Beijing: influence of temporary emission control and wintertime heating by W. Yang, W. Yang, Y. Zhang, Y. Zhang, X. Wang, X. Wang, X. Wang, S. Li, S. Li, M. Zhu, M. Zhu, Q. Yu, Q. Yu, G. Li, G. Li, Z. Huang, Z. Huang, H. Zhang, H. Zhang, Z. Wu, Z. Wu, W. Song, J. Tan, M. Shao, M. Shao

“…The results suggest that emission control in the industry and traffic sectors is more effective in lowering ambient reactive VOCs in non-heating seasons; however, during the winter heating season reducing emissions from residential burning of solid fuels would be of greater importance and would have health co-benefits from lowering both indoor and outdoor air pollution.…”
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The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results by Q. Tang, J.-C. Golaz, L. P. Van Roekel, M. A. Taylor, W. Lin, B. R. Hillman, P. A. Ullrich, A. M. Bradley, O. Guba, J. D. Wolfe, T. Zhou, K. Zhang, X. Zheng, Y. Zhang, M. Zhang, M. Wu, H. Wang, C. Tao, B. Singh, A. M. Rhoades, Y. Qin, H.-Y. Li, Y. Feng, Y. Zhang, C. Zhang, C. S. Zender, S. Xie, E. L. Roesler, A. F. Roberts, A. Mametjanov, M. E. Maltrud, N. D. Keen, R. L. Jacob, C. Jablonowski, O. K. Hughes, R. M. Forsyth, A. V. Di Vittorio, P. M. Caldwell, G. Bisht, R. B. McCoy, L. R. Leung, D. C. Bader

“…Some features appear insensitive to the resolution change analyzed here, for instance the diurnal propagation of organized mesoscale convective systems over CONUS and the warm-season land–atmosphere coupling at the southern Great Plains. …”
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In-depth study of the formation processes of single atmospheric particles in the south-eastern margin of the Tibetan Plateau by L. Li, L. Li, Q. Wang, Q. Wang, Q. Wang, J. Tian, H. Liu, Y. Zhang, S. Sai Hang Ho, W. Ran, J. Cao

“…<p>The unique geographical location of the Tibetan Plateau (TP) plays an important role in regulating global climate change, but the impacts of the chemical components and atmospheric processing on the size distribution and mixing state of individual particles are rarely explored in the south-eastern margin of the TP, which is a transport channel for pollutants from Southeast Asia to the TP during the pre-monsoon season. Thus a single-particle aerosol mass spectrometer (SPAMS) was deployed to investigate how the local emissions of chemical composition interact with the transporting particles and assess the mixing state of different particle types and secondary formation in this study. …”
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Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States by E. Towler, S. S. Foks, A. L. Dugger, J. E. Dickinson, H. I. Essaid, D. Gochis, R. J. Viger, Y. Zhang

“…Although this study focused on model diagnostics for underperforming sites based on the seasonal climatological benchmark, metrics for all sites for both model applications are openly available online.…”
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Modeling biogenic and anthropogenic secondary organic aerosol in China by J. Hu, P. Wang, Q. Ying, H. Zhang, J. Chen, X. Ge, X. Li, J. Jiang, S. Wang, J. Zhang, Y. Zhao, Y. Zhang

“…The Sichuan Basin had the highest predicted SOA concentrations in the country in all seasons, with hourly concentrations up to 50 µg m⁻³. …”
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Ocean Modeling with Adaptive REsolution (OMARE; version 1.0) – refactoring the NEMO model (version 4.0.1) with the parallel computing framework of JASMIN – Part 1: Adaptive grid re... by Y. Zhang, X. Wang, Y. Sun, C. Ning, S. Xu, S. Xu, H. An, D. Tang, H. Guo, H. Yang, Y. Pu, B. Jiang, B. Wang, B. Wang

“…Results show that temporally changing features at the ocean's mesoscale, as well as submesoscale process and its seasonality, are captured well through AMR. Related topics and future plans of OMARE, including the upscaling of small-scale processes with AMR, are further discussed for further oceanography studies and applications.…”
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RESEARCH ON URBAN CONSTRUCTION LAND CHANGE DETECTION METHOD BASED ON DENSE DSM AND TDOM OF AERIAL IMAGES by X. Zhu, G. Pang, P. Chen, Y. Tao, Y. Zhang, X. Zuo

“…The segmentation and tree extraction of TDOM are proposed to reduce the change errors caused by the crown influence of different seasons. Based on this method, 2 experiments were carried out. …”
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Isotopic variations in surface waters and groundwaters of an extremely arid basin and their responses to climate change by Y. Zhang, H. Tan, P. Cong, D. Shi, W. Rao, X. Zhang

“…In the eastern and southwestern Qaidam Basin, precipitation and meltwater infiltrate along preferential flow paths, such as faults, volcanic channels, and fissures, permitting rapid seasonal groundwater recharge and enhanced terrestrial water storage. …”
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Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0 by R. Tang, R. Tang, M. Jin, J. Mao, D. M. Ricciuto, A. Chen, Y. Zhang

“…We found that (1) the adopted oversampling algorithm effectively addressed the unbalanced data and improved the recall rate by 26.88 %–48.62 % when using multiple datasets, and the error-correcting technique tackled the overestimation of fire sizes during fire seasons; (2) nonparametric models outperformed parametric models in predicting fire occurrences, and the random forest machine learning model performed the best, with the area under the receiver operating characteristic curve ranging from 0.83 to 0.93 across multiple fire datasets; and (3) four sets of factor-control simulations consistently indicated the dominant role of temperature, air dryness, and climate extreme (i.e., frost) for boreal peatland fires, overriding the effects of precipitation, wind speed, and human activities. …”
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