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Keyword

meteorological normalization

Description: A statistical method that adjusts air pollution measurements to account for weather variability when comparing pollutant levels across times or conditions.
OpenAlex ID: keywords/meteorological-normalization
Evaluating the meteorological normalized PM2.5 trend (2014–2019) in the “2+26” region of China using an ensemble learning technique
2020 · Linglu Qu, Shijie Liu, et al. · Environmental Pollution · 80
Impact of soiling on Si and CdTe PV modules: Case study in different Brazil climate zones
2021 · Suellen C. Silva Costa, Lawrence L. Kazmerski, et al. · Energy Conversion and Management X · 63
Quantifying the impacts of emissions and meteorology on the interannual variations of air pollutants in major Chinese cities from 2015 to 2021
2023 · Qili Dai, Tianjiao Dai, et al. · Science China Earth Sciences · 40
Slower than expected reduction in annual PM2.5 in Xi'an revealed by machine learning-based meteorological normalization
2022 · Meng Wang, Zhuozhi Zhang, et al. · The Science of The Total Environment · 38
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Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods
2023 · Yong Jie Wong, Ali Yeganeh, et al. · Atmospheric Environment · 35
Estimate of Soiling Rates Based on Soiling Monitoring Station and PV System Data: Case Study for Equatorial-Climate Brazil
2021 · Suellen C. S. Costa, Lawrence L. Kazmerski, et al. · IEEE Journal of Photovoltaics · 35
Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020
2023 · Shuai Wang, Peng Wang, et al. · Chemosphere · 33
Ozone Concentration Estimation and Meteorological Impact Quantification in the Beijing‐Tianjin‐Hebei Region Based on Machine Learning Models
2024 · Zheng Luo, Peilan Lu, et al. · Earth and Space Science · 30
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Meteorological normalization of NO2 concentrations in the Province of Bolzano (Italian Alps)
2020 · Marco Falocchi, Dino Zardi, et al. · Atmospheric Environment · 30
Meteorology-normalized variations of air quality during the COVID-19 lockdown in three Chinese megacities
2022 · Yunqian Lv, Hezhong Tian, et al. · Atmospheric Pollution Research · 29
Quantifying the drivers of surface ozone anomalies in the urban areas over the Qinghai-Tibet Plateau
2022 · Hao Yin, Youwen Sun, et al. · Atmospheric chemistry and physics · 28
Increased contribution to PM2.5 from traffic-influenced road dust in Shanghai over recent years and predictable future
2022 · Meng Wang, Yusen Duan, et al. · Environmental Pollution · 28
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Dramatic changes in atmospheric pollution source contributions for a coastal megacity in northern China from 2011 to 2020
2022 · Baoshuang Liu, Yanyang Wang, et al. · Atmospheric chemistry and physics · 27
Trade-offs between short-term mortality attributable to NO2 and O3 changes during the COVID-19 lockdown across major Spanish cities
2021 · Hicham Achebak, Hervé Petetin, et al. · Environmental Pollution · 27
Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning
2025 · Yuqing Qiu, Xin Li, et al. · Atmospheric chemistry and physics · 26
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Machine Learning and Meteorological Normalization for Assessment of Particulate Matter Changes during the COVID-19 Lockdown in Zagreb, Croatia
2022 · Mario Lovrić, Mario Antunović, et al. · International Journal of Environmental Research and Public Health · 25
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Evaluation of NOx emissions before, during, and after the COVID-19 lockdowns in China: A comparison of meteorological normalization methods
2022 · Qinhuizi Wu, Tao Li, et al. · Atmospheric Environment · 21
Machine learning-based quantification and separation of emissions and meteorological effects on PM2.5 in Greater Bangkok
2025 · Nishit Aman, Sirima Panyametheekul, et al. · Scientific Reports · 19
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Evaluating urban and nonurban PM 2.5 variability under clean air actions in China during 2010–2022 based on a new high-quality dataset
2024 · Boya Liu, Lili Wang, et al. · International Journal of Digital Earth · 19
A machine learning approach to address air quality changes during the COVID-19 lockdown in Buenos Aires, Argentina
2023 · Melisa Diaz Resquin, Pablo Lichtig, et al. · Earth system science data · 19
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Has the Three-Year Action Plan improved the air quality in the Fenwei Plain of China? Assessment based on a machine learning technique
2022 · Xingliang Dai, Bo Zhang, et al. · Atmospheric Environment · 19
A comparison of meteorological normalization of PM2.5 by multiple linear regression, general additive model, and random forest methods
2024 · Ling Qi, Haotian Zheng, et al. · Atmospheric Environment · 17
Annual variations in characteristics and sources analysis of VOCs during the ozone season in the Taiyuan Basin, China, from 2020 to 2022
2024 · Zhentao Wang, Tengfei Long, et al. · Air Quality Atmosphere & Health · 15
Prolonged Power Outages and Air Quality: Insights from Quito’s 2023–2024 Energy Crisis
2025 · Fidel Vallejo, Patricio Villacrés, et al. · Atmosphere · 13
Meteorologically normalized spatial and temporal variations investigation using a machine learning-random forest model in criteria pollutants across Tehran, Iran
2023 · Mohammad Saleh Ali-Taleshi, Alireza Riyahi Bakhtiari, et al. · Urban Climate · 13
Works count: 114
Citation count: 821
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