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  1. 4341
    “…During analyzed period 1 January 2020–1 July 2021, for each of the four COVID-19 waves in Madrid were recorded anomalous anticyclonic synoptic meteorological patterns in the mid-troposphere and favorable stability conditions for COVID-19 disease fast spreading. …”
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    Assessing the impact of air pollution and climate seasonality on COVID-19 multiwaves in Madrid, Spain
  2. 4342
    “…The broad themes are environmental changes, and social and demographic factors. The meteorological impacts of climate change yield a complex cascade of environmental and weather events that affect ambient temperatures, air quality, drought, wildfires, precipitation, and vector-, food-, and water-borne pathogens. …”
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    Factors That Influence Climate Change-Related Mortality in the United States: An Integrative Review
  3. 4343
    “…These findings demonstrate that in addition to visibility prediction, relationships between PMs and meteorological variables influence light scattering PM sensing.…”
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    Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
  4. 4344
    “…With the coupled model, “Envi-met + TRNSYS”, fixed meteorological parameters around the exterior walls are replaced by varied data provided by Envi-met. …”
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    Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day
  5. 4345
    por Jiao, Donglai, Xu, Nannan, Yang, Fan, Xu, Ke
    Publicado 2021
    “…This study evaluates the temporal-spatial performance of ERA5 precipitation data from 1979 to 2018 based on gridded-ground meteorological station observational data across China. …”
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    Evaluation of spatial-temporal variation performance of ERA5 precipitation data in China
  6. 4346
    “…The spatial distribution of PPR was predicted in the THR for the first time using a niche model that was constructed with a combination of eco-geographical, anthropoid, meteorological, and host variables. The transboundary least-cost paths (LCPs) of small ruminants in the THR were also calculated. …”
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    A predictive analysis on the risk of peste des petits ruminants in livestock in the Trans-Himalayan region and validation of its transboundary transmission paths
  7. 4347
    “…Mines growing on leaves of mature host plants (Aesculus hippocastanum L.) in their natural conditions were photographed for two consecutive generations of the pest and in two separated vegetation periods. Apart from meteorological data obtained from the nearest station, the temperature of intact and mined parts of sun-exposed and shaded leaf blades was measured at various daytimes throughout the experiment. …”
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    Towards understanding Cameraria ohridella (Lepidoptera: Gracillariidae) development: effects of microhabitat variability in naturally growing horse-chestnut tree canopy
  8. 4348
    “…Consequently, we combine Principal Component Analysis with feature selection methods from several regression‐based approaches to identify the main demographic and meteorological drivers behind R (0). We robustly obtain that country's wealth/development (GDP per capita or Human Development Index) is the most important R (0) predictor at the global level, probably being a good proxy for the overall contact frequency in a population. …”
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    Inferring the Main Drivers of SARS‐CoV‐2 Global Transmissibility by Feature Selection Methods
  9. 4349
    “…Our study indicates a critical role of meteorological factors, ambient air pollutants and wastewater in severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) transmission-spread dynamics. …”
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    COVID-19 and environment: a poignant reminder of sustainability in the new normal
  10. 4350
    por Shao, Qi, Xu, Yongming, Wu, Hanyi
    Publicado 2021
    “…In this study, we predicted the cumulative confirmed cases (CCCs) from Jan 17 to Mar 1, 2020, in mainland China at the city level, using machine learning algorithms, geographically weighted regression (GWR), and partial least squares regression (PLSR) based on population flow, geolocation, meteorological, and socioeconomic variables. The validation results showed that machine learning algorithms and GWR achieved good performances. …”
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    Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression
  11. 4351
    “…Most studies on USTE research progress have focused on meteorological observations and remote sensing methods, and few studies on USTE are based on computational fluid dynamics (CFD). …”
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    Simulation of the Urban Space Thermal Environment Based on Computational Fluid Dynamics: A Comprehensive Review
  12. 4352
    “…Ozone and oxides of nitrogen (NO(x) = NO + NO(2)) concentration data were obtained from continuous measurement of O(3) and NO(x) housed at the MAPAN-AQM station at Tezpur University. The meteorological parameters were obtained from the same station. …”
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    Ambient ozone over mid-Brahmaputra Valley, India: effects of local emissions and atmospheric transport on the photostationary state
  13. 4353
    “…This study provides a broad overview of changes in patterns of vegetation, snow covers and temperature in Uttarakhand state of India through bulk processing of remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data, meteorological records and simulated global climate data. …”
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    Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region
  14. 4354
    “…Using an ensemble constructed flow analogue approach, we have employed observations to estimate vapor pressure deficit (VPD), the leading meteorological variable that controls wildfires, associated with different atmospheric circulation patterns. …”
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    Quantifying contributions of natural variability and anthropogenic forcings on increased fire weather risk over the western United States
  15. 4355
    por Dai, Xin, Liu, Qingsheng, Huang, Chong, Li, He
    Publicado 2021
    “…As a highly important meteorological hazard, heat waves notably impact human health and socioeconomics, and accurate heat wave risk identification and assessment are effective ways to address this issue. …”
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    Spatiotemporal Variation Analysis of the Fine-Scale Heat Wave Risk along the Jakarta-Bandung High-Speed Railway in Indonesia
  16. 4356
    “…Zimbabwe suffered a devastating meteorological disaster when Cyclone Idai affected the southeast part of the country in March 2019. …”
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    From the Cyclone Idai disaster to the COVID-19 pandemic: An account of inadvertent social capital enhancement in Eastern Chimanimani, Zimbabwe
  17. 4357
    “…Intensive transects and plots were designed to be proxies for extant fern and fern allies, and their habitats. Fifty years of meteorological records of precipitation and temperature along altitude and river running direction (latitudinal) were employed. …”
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    How fern and fern allies respond to heterogeneous habitat — a case in Yuanjiang dry-hot valley
  18. 4358
    “…Secondly, the field of disaster risk perception was mainly concentrated in the disciplines of engineering, natural science, and management science. Thirdly, meteorological disasters, earthquakes, nuclear radiation, and epidemics were the main disasters in the field of disaster risk perception. …”
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    Scientometric Analysis of Disaster Risk Perception: 2000–2020
  19. 4359
    “…Simulated track and intensity of three cyclonic cases are compared with the India Meteorological Department (IMD) observations. One-way analysis of variance (ANOVA) is applied to check the significance of the data obtained from the model. …”
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    Optimization of physical schemes in WRF model on cyclone simulations over Bay of Bengal using one-way ANOVA and Tukey’s test
  20. 4360
    “…The primary outcome was the probability of having an Eczema Area and Severity Index score > 10 after previous ambient exposure to commonly studied meteorological variables and pollutants. There were 430 participants in the groups with Eczema Area and Severity Index ≤ 10 and 149 in those with Eczema Area and Severity Index > 10. …”
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    Modeling of Temporal Exposure to the Ambient Environment and Eczema Severity
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