Research graph
References from Estimating marine PM2.5 concentrations and exploring the drivers over the eastern China seas using multi-source data and machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Validation of MODIS C6.1 and MERRA-2 AOD using AERONET observations: a comparative study over Turkey
10.3390/atmos11090905 · 2020 · External reference
Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China
10.1016/j.atmosenv.2022.119297 · 2022 · External reference
Comparison of satellite-based PM2.5 estimation from aerosol optical depth and top-of-atmosphere reflectance
10.4209/aaqr.2020.05.0257 · 2021 · External reference
Enhanced PM2.5 estimation across China: an AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations
10.1016/j.jenvman.2024.122107 · 2024 · External reference
Influence of meteorological conditions on PM2.5 concentrations across China: a review of methodology and mechanism
10.1016/j.envint.2020.105558 · 2020 · External reference
Global distribution of column satellite aerosol optical depth to surface PM2.5 relationships
10.3390/rs12121985 · 2020 · External reference
Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection
10.1016/j.rse.2023.113901 · 2024 · External reference
Evaluation of MODIS combined DT and DB AOD retrievals and their association with meteorological variables over Qena, Egypt
10.1007/s10661-023-11118-8 · 2023 · External reference
Impacts of synoptic weather patterns and their persistency on free tropospheric carbon monoxide concentrations and outflow in Eastern China
10.1029/2017jd028172 · 2018 · External reference
Effects of particulate matter (PM2.5) on life history traits, oxidative stress, and defensome system in the marine copepod Tigriopus japonicus
10.1016/j.marpolbul.2022.113588 · 2022 · External reference
Interpolation-based fusion of Sentinel-5P, SRTM, and regulatory-grade ground stations data for producing spatially continuous maps of PM2.5 concentrations nationwide over Thailand
10.3390/atmos13020161 · 2022 · External reference
PM2.5 concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022
10.5194/essd-16-4051-2024 · 2024 · External reference
The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using MAIAC aerosol optical depth
10.5194/acp-21-18375-2021 · 2021 · External reference
Revealing the composition and optical properties of marine carbonaceous aerosols: a case of the eastern China marginal seas
10.1016/j.scitotenv.2024.178136 · 2025 · External reference
Impact of shipping emissions regulation on urban aerosol composition changes revealed by receptor and numerical modelling
10.1038/s41612-023-00364-9 · 2023 · External reference
Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model
10.1016/j.atmosres.2020.105146 · 2021 · External reference
A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia
10.5194/acp-23-8187-2023 · 2023 · External reference
Optimized retrievals of aerosol optical properties from directional polarimetric camera using optimal linear mixture of basis aerosol models supported by the non-negative matrix factorization
10.1016/j.rse.2026.115504 · 2026 · External reference
Synergistic estimation of surface particulate matter and ozone pollutants to enhance accuracy and interpretability by a deep learning approach
2026 · External reference
Machine learning for air quality prediction and data analysis: review on recent advancements, challenges, and outlooks
10.1016/j.scitotenv.2025.180593 · 2025 · External reference
Impacts of COVID-19 on air quality over China: links with meteorological factors and energy consumption
10.4209/aaqr.200668 · 2021 · External reference
Full coverage estimation of the PM2.5 concentration across China based on an adaptive spatiotemporal approach
2022 · External reference
The collection 6 MODIS aerosol products over land and ocean
10.5194/amt-6-2989-2013 · 2013 · External reference
How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States?
10.1016/j.atmosenv.2014.12.010 · 2015 · External reference
A validation approach considering the uneven distribution of ground stations for satellite-based PM2.5 estimation
10.1109/jstars.2020.2977668 · 2020 · External reference
Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability
10.1038/s41612-024-00692-4 · 2024 · External reference
A skillful hybrid framework for seamless subseasonal PM2.5 prediction over North China
10.1038/s44407-026-00074-5 · 2026 · External reference
Improved prediction model for daily PM2.5 concentrations with particle swarm optimization and BP neural network
2025 · External reference
Urban PM2.5 concentration monitoring: a review of recent advances in ground-based, satellite, model, and machine learning integration
10.1016/j.uclim.2025.102566 · 2025 · External reference
Black carbon amplifies haze over the North China Plain by weakening the East Asian winter monsoon
10.1029/2018gl080941 · 2019 · External reference
Impacts of shipping emissions on PM2.5 pollution in China
10.5194/acp-18-15811-2018 · 2018 · External reference
Characterization of secondary formation of wintertime PM2.5 in eastern China: the role of relative humidity
10.1016/j.jhazmat.2026.141401 · 2026 · External reference
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data
10.1016/j.rse.2021.112827 · 2022 · External reference
The impact of meteorological factors on fine particulate pollution in Northeast China
10.4209/aaqr.2019.10.0534 · 2020 · External reference
Spatio-temporal pattern estimation of PM2.5 in Beijing-Tianjin-Hebei region based on MODIS AOD and meteorological data using the back propagation neural network
10.3390/atmos9030105 · 2018 · External reference
Vertical aerosol structure matters: improving the AOD-PM2.5 link for air quality and exposure
10.1021/acs.est.6c00095 · 2026 · External reference
Decade-low aerosol levels over the Bohai and Yellow Seas amid the COVID-19 lockdown
2022 · External reference
Spatiotemporal estimation and analysis of PM2.5 concentrations in Wuhan utilizing multisource remote sensing data and NOx as inputs for machine learning models
2025 · External reference
An intercomparison of AOD-converted PM2.5 concentrations using different approaches for estimating aerosol vertical distribution
10.1016/j.atmosenv.2017.07.054 · 2017 · External reference
Estimating PM2.5 from multisource data: a comparison of different machine learning models in the Pearl River Delta of China
10.1016/j.uclim.2020.100740 · 2021 · External reference
Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application
10.1289/ehp.0901623 · 2010 · External reference
Estimating ground‐level PM2.5 using aerosol optical depth determined from satellite remote sensing
10.1029/2005jd006996 · 2006 · External reference
Spatiotemporal distributions of ambient volatile organic compounds in China: characteristics and sources
10.4209/aaqr.210379 · 2022 · External reference
Impact analysis of meteorological variables on PM2.5 pollution in the most polluted cities in China
2023 · External reference
A full-coverage estimation of PM2.5 concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China
10.1016/j.envres.2021.111799 · 2022 · External reference
Estimating marine atmospheric PM2.5 over the Bohai Sea: spatiotemporal dynamics under policy transition in China's emission reduction
10.1016/j.jclepro.2026.147748 · 2026 · External reference
Characteristics of air pollutant distribution and sources in the East China Sea and the Yellow Sea in spring based on multiple observation methods
10.3390/rs15133262 · 2023 · External reference
First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact
10.1038/s41467-023-43862-3 · 2023 · External reference
The impacts of changes in anthropogenic emissions over China on PM2.5 concentrations in South Korea and Japan during 2013–2017
10.3389/fenvs.2022.841285 · 2022 · External reference
Long-range transport of anthropogenic air pollutants into the marine air: insight into fine particle transport and chloride depletion on sea salts
10.5194/acp-21-17715-2021 · 2021 · External reference
Review of satellite-driven statistical models PM2.5 concentration estimation with comprehensive information
10.1016/j.atmosenv.2021.118302 · 2021 · External reference
Two inversion layers and their impacts on PM2.5 concentration over the Yangtze River Delta, China
10.1175/jamc-d-19-0008.1 · 2019 · External reference
The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: about and behind the spatio-temporal variations
10.1016/j.envpol.2019.02.071 · 2019 · External reference
Capture of decline in spring phytoplankton biomass derived from COVID-19 lockdown effect in the Yellow Sea offshore waters
10.1016/j.marpolbul.2021.113175 · 2022 · External reference
Warming effects of reduced sulfur emissions from shipping
10.5194/acp-24-13681-2024 · 2024 · External reference
Changes in the impacts of ship emissions on PM2.5 and its components in China under the staged fuel oil policies
10.5194/acp-25-9497-2025 · 2025 · External reference
Long-range transport and source apportionment of marine fine particles in the Taiwan Strait and South China Sea intersection: spatiotemporal variations and chemical fingerprints
10.1016/j.atmosenv.2024.120867 · 2024 · External reference
Improving the quantification of fine particulates PM2.5 concentrations in Malaysia using simplified and computationally efficient models
10.1016/j.jclepro.2024.141559 · 2024 · External reference
Evaluating deep learning time series models for PM2.5 forecasting across diverse horizons
10.1016/j.isci.2026.114770 · 2026 · External reference
Estimating the daily PM2.5 concentration in the Beijing-Tianjin-Hebei region using a random forest model with a 0.01° × 0.01° spatial resolution
10.1016/j.envint.2019.105297 · 2020 · External reference
Spatiotemporal distribution prediction for PM2.5 based on STXGBoost model and high-density monitoring sensors in Zhengzhou High Tech Zone, China
10.1016/j.jenvman.2024.123682 · 2025 · External reference
Analysis of influential factors for the relationship between PM2.5 and AOD in Beijing
10.5194/acp-17-13473-2017 · 2017 · External reference
Assessing the intensity of marine biogenic influence on the lower atmosphere: an insight into the distribution of marine biogenic aerosols over the Eastern China Seas
10.1021/acs.est.3c04382 · 2023 · External reference
Anthropogenic air pollutants strongly interact with natural aerosols over the eastern China seas: key processes, size distributions, and seasonalities
10.5194/acp-25-13597-2025 · 2025 · External reference
Importance of aerosol composition and aerosol vertical profiles in global spatial variation in the relationship between PM2.5 and aerosol optical depth
10.5194/acp-24-11565-2024 · 2024 · External reference
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
10.1139/er-2022-0125 · 2023 · External reference
Estimating near-surface concentrations of major air pollutants from space: a universal estimation framework LAPSO
2023 · External reference
