Showing 1,421 - 1,440 results of 2,413 for search '"Meteorology"', query time: 0.08s Refine Results
  1. 1421
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    External particle mixing influences hygroscopicity in a sub-urban area by S. Deshmukh, L. Poulain, B. Wehner, S. Henning, J.-E. Petit, P. Fombelle, P. Fombelle, O. Favez, H. Herrmann, M. Pöhlker, M. Pöhlker

    Published 2025-01-01
    “…A cluster analysis based on backward trajectories and meteorological conditions gives valuable insights into the chemical composition and variations in the hygroscopicity of different air masses.…”
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    Article
  4. 1424

    A Global Empirical Model of Electron Density Profile in the F Region Ionosphere Basing on COSMIC Measurements by Qiaoling Li, Libo Liu, Maosheng He, He Huang, Jiahao Zhong, Na Yang, Man‐Lian Zhang, Jinzhe Jiang, Yiding Chen, Huijun Le, Jun Cui

    Published 2021-04-01
    “…In this study, a high precision Ne profile model, named α‐Chapman Based Electron Density Profile Model (α‐Chapman‐Based‐EDP), was built by using ∼4.5 million Ne profiles from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC‐1) radio occultations. …”
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  5. 1425
  6. 1426

    Physically based modelling of glacier evolution under climate change in the tropical Andes by J. D. Mackay, J. D. Mackay, N. E. Barrand, D. M. Hannah, E. Potter, E. Potter, N. Montoya, W. Buytaert

    Published 2025-02-01
    “…Specifically, the model cannot replicate the feedbacks between the driving meteorology, surface energy balance, ablation processes, and snow darkening. …”
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  7. 1427
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    Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory by Mumtaz Ali, Jesu Vedha Nayahi, Erfan Abdi, Mohammad Ali Ghorbani, Farzan Mohajeri, Aitazaz Ahsan Farooque, Salman Alamery

    Published 2025-03-01
    “…The modeling approach encompassed the implementation of Neural Network (NN), Deep Learning (DL), Recurrent Neural Networks (RNN), RNN based Long Short-Term Memory (RNN-LSTM), and Convolutional Neural Network based LSTM (CNN-LSTM) to forecast daily ETo using historical meteorology data. During the model development stage, the optimal variables were determined successfully via heatmaps for precise assessment of ETo in both stations. …”
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  10. 1430
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    Increased number concentrations of small particles explain perceived stagnation in air quality over Korea by S. Joo, J. Shin, M. Tesche, N. Dehkhoda, T. Kim, Y. Noh

    Published 2025-01-01
    “…Since visibility is influenced by particle size and composition as well as meteorological factors, light detection and ranging (lidar) data provided by the National Institute for Environmental Studies in Japan and PM<span class="inline-formula"><sub>2.5</sub></span> measurements retrieved from AirKorea are used to determine the trends in PM<span class="inline-formula"><sub>2.5</sub></span> mass extinction efficiency (MEE) in Seoul and Ulsan, South Korea, from 2015 to 2020. …”
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  12. 1432
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    Revealing Land-Use Dynamics on Thermal Environment of Riverine Cities Under Climate Variability Using Remote Sensing and Geospatial Techniques by Nazia Iftakhar, Fakhrul Islam, Mohammad Izhar Hussain, Muhammad Nasar Ahmad, Jinwook Lee, Nazir Ur Rehman, Saleh Qaysi, Nassir Alarifi, Youssef M. Youssef

    Published 2024-12-01
    “…While previous studies have investigated factors influencing land surface temperature (LST) variations, gaps persist in integrating Landsat imagery (7 and 8), meteorological data, and Geographic Information System (GIS) tools to evaluate the thermal effects of specific LULC types, including cooling and warming transitions, and their influence on air temperature under variable precipitation patterns. …”
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  14. 1434

    Particulate matter emission in agricultural biomass residue combustion by M.G. Nugraha, A. Sharfan, V.S.Y. Prakoso, M. Hidayat, H. Saptoadi

    Published 2024-07-01
    “…Additionally, the study aims to investigate potential enhancements in biomass burning practices through experimental campaigns conducted in both open and closed burning conditions.METHODS: The study evaluates Yogyakarta's regional air quality using data from the Meteorology, Climatology, and Geophysical Agency for the period spanning from 2020 to 2022. …”
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  15. 1435
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    Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation by E. Shehaj, E. Shehaj, S. Leroy, K. Cahoy, A. Geiger, L. Crocetti, G. Moeller, G. Moeller, B. Soja, M. Rothacher

    Published 2025-01-01
    “…We develop a feed-forward neural network applied to Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2) RO observations and evaluate the performance of BI and ML by analysis of residuals when applied to test data. …”
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