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Long-term Characterization of Urban PM10 in Hungary
Published 2021-06-01“…An important aspect of studying the trends of air pollution is that the tendencies depend not only on the emissions of certain pollutants but also on the meteorological conditions in the area of interest. To analyse emission-related trends, the meteorological signal must be removed from the data series. …”
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Impact of secondary ice production on thunderstorm electrification under different aerosol conditions
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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning
Published 2023-10-01“…Therefore, PM estimation using meteorological observation data can help obtain meteorological and PM information simultaneously, making it useful for air quality monitoring.…”
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Carbon sequestration in different urban vegetation types in Southern Finland
Published 2025-02-01“…All models indicated notable year-to-year differences in annual sequestration rates, but since the same factors, such as temperature and soil moisture, affect processes both assimilating and releasing carbon, connecting the years of high or low carbon sequestration to single meteorological means failed. Overall, this research emphasizes the importance of integrating diverse vegetation types and the impacts of irrigation into urban carbon modelling efforts to inform sustainable urban planning and climate change mitigation strategies.…”
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Multisite Scenarios of Black Carbon and Biomass Burning Aerosol Characteristics in India
Published 2023-03-01“…The spatial distribution of BC aerosols depends on the combination of anthropogenic activities and meteorological conditions. In this study, we used the India Meteorological Department (IMD) Black Carbon Observational Network datasets to assess the diurnal, seasonal, and long-term BC trends for the period, 2016–2021. …”
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Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China
Published 2022-03-01“…Different air quality models use different parameters (e.g., meteorological fields, emission sources and the initial concentrations of pollutants) and therefore their forecast results tend to have large systematic and random errors. …”
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Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination.
Published 2025-01-01“…The primary cause of water shortages is inadequate precipitation, which can be influenced by meteorological factors such as temperature, humidity, and precipitation patterns. …”
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Uncertainties in the finite-time Lyapunov exponent in an ocean ensemble prediction model
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Impact of Biomass Burning on Air Quality in Temuco City, Chile
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A Synoptic- and Remote Sensing-based Analysis of a Severe Dust Storm Event over Central Asia
Published 2023-01-01“…Abstract A severe dust storm blanketing Central Asia on 3–4 November 2021 was investigated employing satellite remote-sensing, synoptic meteorological observations, reanalysis and HYSPLIT back-trajectories. …”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods
Published 2025-02-01“…The model integrated binary classification outcomes for each virus category and incorporated air quality and meteorological data to enhance its accuracy. The data was collected from 31 regions in China between 2016 and 2021, encompassing pathogen detection, air quality indices, and meteorological measurements. …”
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Characteristics of Carbonaceous Species of PM2.5 in Chiang Mai City, Thailand
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
Published 2024-07-01“…This is done in order to construct and develop a high-efficiency prediction model that uses actual meteorological data to predict daily solar irradiance for the town of Zaria, Nigeria. …”
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Short-term photovoltaic power prediction combination model considering seasonal characteristic and data window
Published 2025-01-01“…Thirdly, the effects of different input windows in the historical meteorological data on the prediction accuracy of GRU-XGboost model are analyzed to determine the optimal data window. …”
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Ground Water Quality Determination of former Lake Haramaya, Haramaya District, Eastern Haranghe Zone, Oroma Regional State, Ethiopia
Published 2013-07-01“…In order to determine the basic hydrologic parameters, meteorological data was collected from Haramaya meteorological station. …”
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