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  1. 2581

    Comparisons and Analyses of Thermospheric Mass Densities Derived from Global Navigation Satellite System–Precise Orbit Determination and an Ionization Gauge–Orbital Neutral Atmosph... by Yujiao Jin, Xianguo Zhang, Maosheng He, Yongping Li, Xiangguang Meng, Jiangzhao Ai, Bowen Wang, Xinyue Wang, Yueqiang Sun

    Published 2024-12-01
    “…Over the long term, thermospheric mass densities derived from the two means of POD and the OAD show good agreements, yet prominent discrepancies emerge during specific periods and under different space-weather conditions. We propose possible interpretations as well as suggestions for utilizing these two means. …”
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  2. 2582

    Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

    Published 2022-01-01
    “…Air temperature (AT) prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system (DENFIS), hybrid neural-fuzzy inference system (HyFIS), and adaptive neurofuzzy inference system (ANFIS) for AT prediction. …”
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  3. 2583

    Characteristics and Meteorological Factors of Severe Haze Pollution in China by Chao He, Song Hong, Hang Mu, Peiyue Tu, Lu Yang, Biqin Ke, Jiayi Huang

    Published 2021-01-01
    “…A severe haze pollution incident caused by unfavorable weather conditions and a northern air mass occurred in eastern, northern, northwestern, and southwestern China from January 15 to January 22, 2018. …”
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  4. 2584

    WED-YOLO: A Detection Model for Safflower Under Complex Unstructured Environment by Zhenguo Zhang, Yunze Wang, Peng Xu, Ruimeng Shi, Zhenyu Xing, Junye Li

    Published 2025-01-01
    “…The growing environment of safflowers, including factors such as variable weather conditions in unstructured environments, shooting distances, and diverse morphological characteristics, presents significant difficulties for detection. …”
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    Article
  5. 2585

    Development of Analytical Method for Cable-stayed Bridges Considering Local Damages Caused by Failure of Supporting Cables by Ahmed Ramadan Ahmed, Qais Abdulrahman Ali Qais, Nikolay A. Yermoshin

    Published 2024-12-01
    “…Bridge structures are often subjected to extreme conditions such as rough weather, earthquakes, impacts from traffic accidents, and even blasts. …”
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  6. 2586

    Composites of Heavy Rain Producing Elevated Thunderstorms in the Central United States by Laurel P. McCoy, Patrick S. Market, Chad M. Gravelle, Charles E. Graves, Neil I. Fox, Scott M. Rochette, Joshua Kastman, Bohumil Svoma

    Published 2017-01-01
    “…Composites were created for five National Weather Service County Warning Areas (CWAs) in the region. …”
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  7. 2587

    Anti-aging effect of TMQ on EPDM for Various Cure Systems by Şehriban Öncel, Bağdagül Karaağaç, Hakan Erdoğan, Mahir Burak Efe, Gürcan Gül

    Published 2023-12-01
    “…Ethylene propylene diene rubber (EPDM) is a common raw material for weather resistant rubber products used in lots of areas such as cable, automotive, marine industry and aviation applications. …”
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    Article
  8. 2588

    Does water quality matter? Foraging activity of Daubenton’s bat (Myotis daubentonii) over three lakes with different trophy by Małgorzata Strzałka, Katarzyna Kozakiewicz, Postawa Tomasz

    Published 2024-12-01
    “…The higher foraging activity recorded over the small dystrophic lake may be explained by the isolation of this lake from adverse weather conditions (e.g. wind). Hence, the observed slow increase in the number of M. daubentonii over the past 20 years cannot be attributed to, as previously suggested, eutrophication, but, on the contrary, seems to be a result of a progressive improvement in the environment. …”
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    Article
  9. 2589

    Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

    Published 2025-01-01
    “…Traditional deep learning-based prediction methods predominantly rely on weather radar data to quantify precipitation, often neglecting the integration of the thermal processes involved in the formation and dissipation of precipitation, which leads to reduced prediction accuracy. …”
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  10. 2590

    Divergent response of grassland aboveground net primary productivity and precipitation utilization efficiency to altered precipitation patterns by process-based model by Chen Cheng, Lu Wu, Lu Wu, Hongyan Liu, Boyi Liang, Xinrong Zhu, Feiyun Yang

    Published 2025-01-01
    “…This study aims to quantitatively assess the impact of different precipitation scenarios on grassland productivity using the APSIM model. Historical weather data from 1968 to 2017 and observational data from three types of steppes (meadow, typical, and desert steppe) in Inner Mongolia Autonomous Region from 2004 to 2010 were collected to determine key crop variety parameters for the APSIM model. …”
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  11. 2591

    Forest fire risk assessment model optimized by stochastic average gradient descent by Zexin Fu, Adu Gong, Jinhong Wan, Wanru Ba, Haihan Wang, Jiaming Zhang

    Published 2025-01-01
    “…The model is based on the Regional Disaster System Theory (RDST), and incorporates 11 indicators of meteorological, vegetation, and human activity factors from the aspects of hazard-formative factor, hazard-formative environment, and hazard-affected body, and achieves a prediction accuracy of 94.38% and a coefficient of determination of 0.9581 when compared with historical data and the Global Fire Weather Index (FWI). The results demonstrate that the SAGD optimization improves the performance of the BPNN, offers a pragmatic solution for forest fire risk assessment in the Guangxi Zhuang Autonomous Region, and facilitates the enhancement of its disaster preparedness and response capabilities, thereby mitigating the adverse effects of forest fires.…”
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  12. 2592

    Seasonal Variations and Long-term Trend of Mineral Dust Aerosols over the Taiwan Region by Yanda Zhang, Yi-Jhen Cai, Fangqun Yu, Gan Luo, Charles C. K. Chou

    Published 2020-11-01
    “…Abstract Atmospheric dust aerosols are known to affect the air quality and public health as well as climate and weather systems. An increasing number of modeling studies have related ice nucleation with the number concentrations of dust particles with a diameter larger than 500 nm (ND,d>500nm). …”
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  13. 2593
  14. 2594

    Solar photovoltaic panel cells defects classification using deep learning ensemble methods by H. Tella, A. Hussein, S. Rehman, B. Liu, A. Balghonaim, M. Mohandes

    Published 2025-02-01
    “…Solar photovoltaic (PV) systems are essential for sustainable energy production; however, their reliability may be undermined by unfavorable weather conditions, resulting in defects in the individual cells. …”
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    Article
  15. 2595

    Effect of topographical and soil complexity on potato yields in irrigated fields by Michael Kehoe, Adele Harding, Seinfeld Joshua Pagdilao, Willemijn M. Appels

    Published 2025-02-01
    “…Findings are likely specific to the geographical and weather conditions encountered in the study area. …”
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    Article
  16. 2596

    CLINICAL PROFILES OF FROSTBITE IN DR. SOETOMO GENERAL ACADEMIC HOSPITAL: A CASE SERIES by Thomas Eduardus Sudrajat Wahyu Nugroho, Beta Subakti Nata’atmadja

    Published 2019-06-01
    “…While frostbite is rare in tropical areas, it can impact individuals in cold-weather activities like mountain climbing and winter sports. …”
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  17. 2597

    A study of introduced apple cultivars according to the main components of winter hardiness by simulating damaging factors under controlled conditions by А. M. Galasheva, N. G. Krasova, Z. E. Ozherelieva

    Published 2022-04-01
    “…In the European part of Russia, in winter, fruit crops are affected by the impacts of weather conditions (spring frosts, droughts, early frosts, low-temperature stress, a short growing season, and thaws). …”
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  18. 2598

    Establishment and Evaluation of Atmospheric Water Vapor Inversion Model Without Meteorological Parameters Based on Machine Learning by Ning Liu, Yu Shen, Shuangcheng Zhang, Xuejian Zhu

    Published 2025-01-01
    “…This shows that the PWV inverted by the new model can respond well to extreme rainstorm events, which proves the feasibility and reliability of the new model and provides a reference method for meteorological monitoring and weather forecasting.…”
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  19. 2599

    Enhancing water use efficiency and fruit quality in jujube cultivation: A review of advanced irrigation techniques and precision management strategies by Yingying Xing, Mengru Chen, Xiukang Wang

    Published 2025-02-01
    “…Innovative contributions highlighted in the review include the integration of advanced intelligent irrigation systems that utilize soil moisture monitoring, weather data analysis, and combined water-fertilizer management. …”
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    Article
  20. 2600

    Evalu ation of potato hybrids according to tuber flesh darkening and other useful agronomic characters under the conditions of Kirov Province by N. F. Sintsova, I. V. Lyskova, E. I. Kratyuk, V. M. Arkhipov

    Published 2021-10-01
    “…Manifestation of tuber flesh darkening was found to depend on weather conditions during the growing season: the higher was the air temperature, the weaker was the darkening of raw tuber flesh, but when the soil moisture during tuberization was high, tuber flesh became more darkened. …”
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