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  1. 5021
    “…The main objective of this work is to design and implement a flexible IoT-based platform for remote monitoring of agriculture farms of different scales, enabling continuous data collection from various IoT devices (sensors, actuators, meteorological masts, and drones). Such data will be available for end-users to improve decision-making and for training and validating advanced prediction algorithms. …”
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    LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile
  2. 5022
    “…Combining the observation of surface ozone, NO(2), meteorological parameters together with hourly electricity consumption data from volatile organic compounds (VOCs) emitting companies, a generalized additive model (GAM) is established for quantifying the influencing factors on the temporal and spatial distribution of surface ozone pollution from 2020 to 2021 in Anhui province, central China. …”
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    A potential controlling approach on surface ozone pollution based upon power big data
  3. 5023
    “…The tool simulates the hourly electricity and thermal energy generation, taking into account local meteorological conditions, local geographical data, and technical specifications of the solar power and heat generation systems. …”
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    Assessing the Environmental-Health-Economic Co-Benefits from Solar Electricity and Thermal Heating in Ulaanbaatar, Mongolia
  4. 5024
    “…CONCLUSION: The obtained results imply that a significant part of daily [Formula: see text] variations could be explained by meteorological factors and that further research should be done to quantify the effects of the atmospheric transport and anthropogenic emissions. …”
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    An empirical model for estimating daily atmospheric column-averaged CO(2) concentration above São Paulo state, Brazil
  5. 5025
    “…A random forest model was developed to estimate ground-level NO(2) concentrations in China at a monthly time scale based on ground-level observed NO(2) concentrations, tropospheric NO(2) column concentration data from the Ozone Monitoring Instrument (OMI), and meteorological covariates (the MAE, RMSE, and R(2) of the model were 4.16 µg/m(3), 5.79 µg/m(3), and 0.79, respectively, and the MAE, RMSE, and R(2) of the cross-validation were 4.3 µg/m(3), 5.82 µg/m(3), and 0.77, respectively). …”
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    Assessment of NO(2) population exposure from 2005 to 2020 in China
  6. 5026
    “…Finally, satellite based meteorological data supported epidemiological studies of environmental disease determinants. …”
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    The role of remote sensing during a global disaster: COVID-19 pandemic as case study
  7. 5027
    “…Machine learning algorithms are capable of learning linear and nonlinear patterns in complex agro-meteorological data. However, the application of machine learning methods for predictive analysis is lacking in the oil palm industry. …”
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    Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow
  8. 5028
    “…In this paper, based on meteorological data obtained online and LC obtained with an optical fiber sensor, installed in 500-kV insulator strings of a transmission line, the impact of weather conditions was studied. …”
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    Optical Sensor for Monitoring Leakage Current and Weather Conditions in a 500-kV Transmission Line
  9. 5029
    “…This suggests a need for adding the capability of replacing sections of global emission inventories with regional inventories, increasing the vertical resolution in the planetary boundary layer, and reducing model biases in meteorological variables such as temperature and clouds.…”
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    Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model
  10. 5030
    “…To deduce whether forests would be more thermodynamically advantageous than existing ecosystems beyond treelines, we construct and examine counterfactual scenarios in which trees exist beyond a treeline instead of the existing alpine meadow or Arctic tundra. Meteorological data from the Italian Alps, United States Rocky Mountains, and Western Canadian Taiga-Tundra are used as forcing for model computation of ecosystem work and temperature gradients at sites on both sides of each treeline with and without trees. …”
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    Thermodynamic basis for the demarcation of Arctic and alpine treelines
  11. 5031
    “…Forested environments feature a highly complex radiation regime, and solar radiation is hindered from penetrating into the forest by the 3D canopy structure; hence, canopy shortwave radiation varies spatiotemporally, seasonally, and meteorologically, making the radiant flux challenging to both measure and model. …”
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    Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
  12. 5032
    “…The relationship between air pollutants and meteorological parameters during the lockdown showed that air temperature and pressure were highly correlated with air pollutants, unlike precipitation and wind speed. …”
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    Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing
  13. 5033
    “…They are influenced and triggered by meteorological variables that could partially explain the effect on COVID-19. …”
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    Environmental contributions to the interactions of COVID-19 and asthma: A secondary publication and update
  14. 5034
    “…This analysis was performed using the hourly concentration data of SO(2), and meteorological variables (wind speed and direction), which were analyzed for a period of three years (2018–2020). …”
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    Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes
  15. 5035
    “…Therefore, a thorough understanding of the chemical effects of the emission reductions, changes in photolytic rates and boundary layer due to perturbation of solar radiation, and the effect of meteorological/seasonal changes are needed on a regional basis. …”
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    Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone
  16. 5036
    por Speranza, Antonio, Caggiano, Rosa
    Publicado 2022
    “…Moreover, the vehicular mobility, the emission classes of the vehicles, and the people mobility were taken into consideration along with meteorological variables. A compositional data analysis was used to evaluate the effect of pandemic measures on the fine- and coarse-size fractions of PM in the three considered sites. …”
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    Impacts of the COVID-19 lockdown measures on coarse and fine atmospheric aerosol particles (PM) in the city of Rome (Italy): compositional data analysis approach
  17. 5037
    “…A jacket type offshore met mast was installed at the site to measure wind and meteorological conditions for 1 year from 1 July 2015 to 30 June 2016. …”
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    Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
  18. 5038
    “…Meanwhile, selected meteorological data were obtained for statistical analysis. …”
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    Ecological Factors Influencing the Occurrence of Macrofungi from Eastern Mountainous Areas to the Central Plains of Jilin Province, China
  19. 5039
    “…Using multivariable logistic regression, adjusted for time-varying meteorological effects, we examined how AF modified the association between AIS and air pollutant exposure. …”
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    Ambient Air Pollution and Acute Ischemic Stroke—Effect Modification by Atrial Fibrillation
  20. 5040
    “…Here, we use this natural experiment to evaluate the effects of hot drought on GPP and further decompose those negative GPP anomalies into their constituent meteorological and hydrological drivers. We found a 122 Tg C (>25%) reduction in GPP below the 2015–2019 mean, by far the lowest regional GPP over the Soil Moisture Active Passive satellite record. …”
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    Exceptional heat and atmospheric dryness amplified losses of primary production during the 2020 U.S. Southwest hot drought
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