Articles | Volume 15, issue 18
https://doi.org/10.5194/acp-15-10597-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-10597-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Sep 2015
Research article |
| 25 Sep 2015
A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances
M. J. M. Penning de Vries
CORRESPONDING AUTHOR
Max Planck Institute for Chemistry, Mainz, Germany
S. Beirle
Max Planck Institute for Chemistry, Mainz, Germany
C. Hörmann
Max Planck Institute for Chemistry, Mainz, Germany
J. W. Kaiser
Max Planck Institute for Chemistry, Mainz, Germany
P. Stammes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
L. G. Tilstra
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
O. N. E. Tuinder
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
T. Wagner
Max Planck Institute for Chemistry, Mainz, Germany
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36 citations as recorded by crossref.
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- Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance J. Liao et al. 10.5194/acp-19-2765-2019
- Novel Decomposition Scheme for Characterizing Urban Air Quality with MODIS P. Misra et al. 10.3390/rs9080812
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran S. Bamehr & S. Sabetghadam 10.1007/s11356-020-11003-8
- Insight into global trends in aerosol composition from 2005 to 2015 inferred from the OMI Ultraviolet Aerosol Index M. Hammer et al. 10.5194/acp-18-8097-2018
- Climatology of atmospheric dust corridors in the Middle East based on satellite data M. Rezaei et al. 10.1016/j.atmosres.2022.106454
- Vertical distributions and columnar properties of the aerosols during different seasons over Kattankulathur (12.82oN, 80.04oE): A semi-urban tropical coastal station A. Ananthavel et al. 10.1016/j.atmosenv.2021.118457
- Anthropogenic aerosol emissions mapping and characterization by imaging spectroscopy – application to a metallurgical industry and a petrochemical complex Y. Philippets et al. 10.1080/01431161.2018.1513665
- Three-dimensional nature of summertime aerosols over South Asia A. Singh et al. 10.1016/j.scitotenv.2022.156834
- Improving Spatial Coverage of Satellite Aerosol Classification Using a Random Forest Model W. Choi et al. 10.3390/rs13071268
- A First Approach to Aerosol Classification Using Space-Borne Measurement Data: Machine Learning-Based Algorithm and Evaluation W. Choi et al. 10.3390/rs13040609
- Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements G. Gupta et al. 10.1016/j.atmosenv.2022.119569
- Accounting for the aerosol type and additional satellite-borne aerosol products improves the prediction of PM2.5 concentrations S. Falah et al. 10.1016/j.envpol.2023.121119
- Aerosol climatology and determination of different types over the semi-arid urban area of Tehran, Iran: Application of multi-platform remote sensing satellite data S. Sabetghadam et al. 10.1016/j.apr.2020.06.029
- Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019) S. Eom et al. 10.1016/j.atmosres.2022.106457
- Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Y. Cheng et al. 10.5194/acp-19-13445-2019
- Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region N. Yusuf & R. Sa'id 10.1016/j.heliyon.2023.e18815
- Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky 10.3389/fenvs.2018.00059
- Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al. 10.5194/acp-21-2211-2021
- A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-20-13557-2020
- Analysis of spatio-temporal dust aerosol frequency over Iran based on satellite data M. Rezaei et al. 10.1016/j.apr.2018.10.002
- Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions S. Falah et al. 10.3390/rs14153667
- Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain K. Vinjamuri et al. 10.1016/j.envpol.2019.113377
- Assessment of dominating aerosol properties and their long-term trend in the Pan-Third Pole region: A study with 10-year multi-sensor measurements T. Wang et al. 10.1016/j.atmosenv.2020.117738
- Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018 A. Monteiro et al. 10.1016/j.scitotenv.2022.156861
- Aerosol properties, trends and classification of key types over the Middle East from satellite-derived atmospheric optical data S. Sabetghadam et al. 10.1016/j.atmosenv.2020.118100
- Aerosol Climatology Over South and Southeast Asia: Aerosol Types, Vertical Profile, and Source Fields T. Banerjee et al. 10.1029/2020JD033554
- Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets C. Huang et al. 10.3390/rs13163116
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt P. Kosmopoulos et al. 10.3390/rs10121870
- Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model W. Choi et al. 10.3390/rs13132464
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- A study on optical properties, classification, and transport of aerosols during the smog period over South Asia using remote sensing A. Liaqut et al. 10.1007/s11356-023-27047-5
- Long-Term Variation of Aerosol Optical Properties Associated with Aerosol Types Over East Asia Using Aeronet and Satellite (Viirs, Omi) Data S. Eom et al. 10.2139/ssrn.4155134
- Combining CALIPSO and AERONET Data to Classify Aerosols Globally Y. Lin et al. 10.1109/TGRS.2021.3138085
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