Climate Dynamics, Journal Year: 2020, Volume and Issue: 54(9-10), P. 3977 - 3989
Published: March 21, 2020
Language: Английский
Science, Journal Year: 2020, Volume and Issue: 369(6504), P. 702 - 706
Published: June 17, 2020
Air pollution epidemic The lockdown enforced in most cities China response to the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted virtual absence motor vehicle traffic and sharply reduced manufacturing activity for several weeks. Le et al. report some anticipated unanticipated effects that this had on air there, including unexpectedly high levels particulate matter abundances haze formation areas. This natural experiment will help assessment mitigation strategies. Science , issue p. 702
Language: Английский
Citations
894
Remote Sensing of Environment, Journal Year: 2020, Volume and Issue: 252, P. 112136 - 112136
Published: Oct. 30, 2020
Language: Английский
Citations
829
Journal of Geophysical Research Atmospheres, Journal Year: 2020, Volume and Issue: 125(7)
Published: March 2, 2020
Abstract Following the description of basic climatic characteristics Meiyu in East Asia, we present a comprehensive review multi–time scale variabilities together with long‐term change extreme precipitation during this paper. The dynamic prediction skills on subseasonal to seasonal time scales are further described and illustrated by using numerical models. For Asian Meiyu, they closely related impacts both quasi‐biweekly 30–60 day oscillation from tropics middle high latitudes intraseasonal scale, influences El Niño–Southern Oscillation Tropospheric Biennial interannual variations summer monsoon decadal continued global warming, Pacific Decadal Atlantic Multidecadal interdecadal trend. Under background warming urbanization aerosol effects, shows some specific including significantly weakened continuous rain, uneven spatial distribution precipitation, increased (decreased) number strong (weak) days. Improvements rain belt location, total amount, persistent heavy events, low‐frequency variability season have been achieved improved models Beijing Climate Center since 2010.
Language: Английский
Citations
174
Atmospheric chemistry and physics, Journal Year: 2021, Volume and Issue: 21(10), P. 7863 - 7880
Published: May 25, 2021
Abstract. Fine particulate matter with a diameter of less than 2.5 µm (PM2.5) has been used as an important atmospheric environmental parameter mainly because its impact on human health. PM2.5 is affected by both natural and anthropogenic factors that usually have strong diurnal variations. Such information helps toward understanding the causes air pollution, well our adaptation to it. Most existing products derived from polar-orbiting satellites. This study exploits use next-generation geostationary meteorological satellite Himawari-8/AHI (Advanced Himawari Imager) document variation in PM2.5. Given huge volume data, based idea gradient boosting, highly efficient tree-based Light Gradient Boosting Machine (LightGBM) method involving spatiotemporal characteristics namely space-time LightGBM (STLG) model, developed. An hourly dataset for China (i.e., ChinaHighPM2.5) at 5 km spatial resolution aerosol additional variables. Hourly estimates (number data samples = 1 415 188) are correlated ground measurements (cross-validation coefficient determination, CV-R2 0.85), root-mean-square error (RMSE) mean absolute (MAE) 13.62 8.49 µg m−3, respectively. Our model captures variations showing pollution increases gradually morning, reaching peak about 10:00 LT (GMT+8), then decreases steadily until sunset. The proposed approach outperforms most traditional statistical regression machine-learning models much lower computational burden terms speed memory, making it suitable routine monitoring.
Language: Английский
Citations
155
Atmospheric chemistry and physics, Journal Year: 2022, Volume and Issue: 22(1), P. 641 - 674
Published: Jan. 17, 2022
Aerosol-cloud interactions (ACIs) are considered to be the most uncertain driver of present-day radiative forcing due human activities. The nonlinearity cloud-state changes aerosol perturbations make it challenging attribute causality in observed relationships forcing. Using correlations infer can when meteorological variability also drives both and cloud independently. Natural anthropogenic from well-defined sources provide "opportunistic experiments" (also known as natural experiments) investigate ACI cases where may more confidently inferred. These cover a wide range locations spatiotemporal scales, including point such volcanic eruptions or industrial sources, plumes biomass burning forest fires, tracks individual ships shipping corridors. We review different experimental conditions conduct synthesis available satellite datasets field campaigns place these opportunistic experiments on common footing, facilitating new insights clearer understanding key uncertainties Cloud albedo strongly sensitive background conditions. Strong liquid water path increases largely ruled out by averaging across experiments. Opportunistic have significantly improved process-level ACI, but remains unclear how reliably found scaled global level, thus demonstrating need for deeper investigation order improve assessments climate change.
Language: Английский
Citations
113
Earth system science data, Journal Year: 2022, Volume and Issue: 14(2), P. 907 - 927
Published: Feb. 24, 2022
Abstract. Developing a big data analytics framework for generating the Long-term Gap-free High-resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great significance environmental management and Earth system science analysis. By synergistically integrating multimodal aerosol acquired from diverse sources via tensor-flow-based fusion method, gap-free optical depth (AOD) with daily 1 km resolution covering period 2000–2020 in China was generated. Specifically, gaps AOD imageries Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Terra were reconstructed based on set tensors satellites, numerical analysis, situ air quality measurements integrative efforts spatial pattern recognition high-dimensional gridded image analysis knowledge transfer statistical mining. To our knowledge, this first long-term high-resolution China, which spatially contiguous PM2.5 PM10 concentrations then estimated using an ensemble learning approach. Ground validation results indicate that LGHAP are good agreement observations Aerosol Robotic Network (AERONET), R 0.91 RMSE equaling 0.21. Meanwhile, estimations also agreed well ground measurements, values 0.95 0.94 RMSEs 12.03 19.56 µg m−3, respectively. The provides suite maps high to better examine changes over past 2 decades, three major variation periods haze pollution revealed. Additionally, proportion population exposed unhealthy increased 50.60 % 2000 63.81 2014 across reduced drastically 34.03 2020. Overall, generated has potential trigger multidisciplinary applications observations, climate change, public health, ecosystem assessment, management. AOD, PM2.5, datasets publicly available at https://doi.org/10.5281/zenodo.5652257 (Bai et al., 2021a), https://doi.org/10.5281/zenodo.5652265 2021b), https://doi.org/10.5281/zenodo.5652263 2021c), Monthly annual can be https://doi.org/10.5281/zenodo.5655797 2021d) https://doi.org/10.5281/zenodo.5655807 2021e), Python, MATLAB, R, IDL codes provided help users read visualize these data.
Language: Английский
Citations
97
Environmental Research, Journal Year: 2023, Volume and Issue: 240, P. 117537 - 117537
Published: Oct. 30, 2023
Language: Английский
Citations
55
Renewable Energy, Journal Year: 2024, Volume and Issue: 223, P. 119961 - 119961
Published: Jan. 10, 2024
Language: Английский
Citations
34
Science Bulletin, Journal Year: 2024, Volume and Issue: 69(10), P. 1569 - 1580
Published: March 6, 2024
Language: Английский
Citations
20
Atmospheric Environment, Journal Year: 2021, Volume and Issue: 254, P. 118415 - 118415
Published: April 15, 2021
Language: Английский
Citations
88