Research article 29 May 2019
Research article | 29 May 2019
Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products
Jing Wei et al.
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Cited
37 citations as recorded by crossref.
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- ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
- An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
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- Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol‐Cloud Interactions H. Bai et al. 10.1029/2019JD031598
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
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37 citations as recorded by crossref.
- Visibility as a proxy for air quality in East Africa A. Singh et al. 10.1088/1748-9326/ab8b12
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions V. Salamalikis et al. 10.1016/j.renene.2021.02.025
- ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
- An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
- The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol‐Cloud Interactions H. Bai et al. 10.1029/2019JD031598
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
- Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al. 10.3390/rs12142330
- Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China Y. Su et al. 10.1016/j.atmosenv.2021.118205
- Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
- Multidecadal trend analysis of in situ aerosol radiative properties around the world M. Collaud Coen et al. 10.5194/acp-20-8867-2020
- Solar UV radiation measurements in Marambio, Antarctica, during years 2017–2019 M. Aun et al. 10.5194/acp-20-6037-2020
- Spatiotemporal variations and relationships of aerosol-radiation-ecosystem productivity over China during 2001–2014 W. Xue et al. 10.1016/j.scitotenv.2020.140324
- Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. 10.1029/2019JD032097
- VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China L. He et al. 10.1016/j.atmosenv.2021.118265
- Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
- Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging Y. Wang et al. 10.1016/j.atmosenv.2020.117548
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Satellite-Derived 1-km-Resolution PM1 Concentrations from 2014 to 2018 across China J. Wei et al. 10.1021/acs.est.9b03258
- Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces J. Wei et al. 10.1109/TGRS.2019.2927432
- Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China W. Xue et al. 10.1016/j.scitotenv.2019.134577
- Anthropogenic and meteorological drivers of 1980–2016 trend in aerosol optical and radiative properties over the Yangtze River Basin L. He et al. 10.1016/j.atmosenv.2019.117188
- Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products J. Wei et al. 10.1016/j.scitotenv.2019.07.326
- Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas 10.1029/2020GL087132
- Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach J. Li et al. 10.1029/2019JD031884
- Spatiotemporal PM2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region W. Xue et al. 10.1016/j.jclepro.2020.123742
- Influence of Saharan Dust on the Large‐Scale Meteorological Environment for Development of Tropical Cyclone Over North Atlantic Ocean Basin Y. Sun & C. Zhao 10.1029/2020JD033454
- MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis J. Wei et al. 10.1016/j.atmosenv.2020.117768
- Distinct aerosol effects on cloud-to-ground lightning in the plateau and basin regions of Sichuan, Southwest China P. Zhao et al. 10.5194/acp-20-13379-2020
- Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
- Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China T. Zhang et al. 10.3390/rs12101684
- Improved 1 km resolution PM<sub>2.5</sub> estimates across China using enhanced space–time extremely randomized trees J. Wei et al. 10.5194/acp-20-3273-2020
- Oceanic Aerosol Loading Derived From MISR's 4.4 km (V23) Aerosol Product M. Witek et al. 10.1029/2019JD031065
- Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications J. Wei et al. 10.1016/j.rse.2020.112136
Latest update: 27 Feb 2021
Short summary
This study evaluates the suitability of 11 satellite-derived aerosol products in describing the spatio-temporal variations over the world. Our results show similar global patterns among these products but noticeable spatial heterogeneity and numerical differences over land regions. In general, MODIS products perform best at reflecting the spatial distributions and capturing the temporal trends of aerosol. This study help readers select a suitable aerosol dataset for their studies.
This study evaluates the suitability of 11 satellite-derived aerosol products in describing the...
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