Results 31 to 40 of about 388,640 (338)
Aerospace, 2022 One possibility to reduce the climate impact of aviation is the avoidance of climate-sensitive regions, which is synonymous with climate-optimised flight planning.
Pratik Rao +7 more
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Atmosphere, 2022 China has experienced a series of COVID-19 recurrences in different cities across the country since 2020, and relatively strict (full lockdown) or lenient closure (semi-lockdown) strategies have been employed accordingly in each city.
Jing Yang +7 more
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Meteorology influencing springtime air quality, pollution transport, and visibility in Korea
Elementa: Science of the Anthropocene, 2019 In an environment with many local, remote, persistent, and episodic sources of pollution, meteorology is the primary factor that drives periods of unhealthy air quality and reduced visibility.
D. Peterson +10 more
semanticscholar +1 more source
Frontiers in Pharmacology, 2018 Ozone (O3) is a commonly known air pollutant that causes adverse health effects. This study developed a multi-level prediction model for conjunctivitis in outpatients due to exposure to O3 by using 3 years of ambient O3 data, meteorological data, and ...
Jeong-Won Seo +3 more
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Central European Journal of Sport Sciences and Medicine, 2020 Participation in Leisure-Time Physical Activity (LTPA) has declined among university undergraduate students in Nigeria. Studies have identified the physical environment of universities as a potential cause of the decline; however, this claim has not been
Alayode Ajibua, O.A. Onanuga
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Remote Sensing, 2021 Clouds play a significant role in regulating the Arctic climate and water cycle due to their impacts on radiative balance through various complex feedback processes.
Acharya Asutosh +4 more
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Atmosphere, 2021 (1) Background: Continuous monitoring of the tree stem increment throughout the year is crucial for the understanding of trees’ reactions to changes in meteorology, solar radiation and surface ozone and evaluating the adaptive capacity of prevailing tree
Algirdas Augustaitis
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International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source