Articles | Volume 13, issue 5
https://doi.org/10.5194/acp-13-2907-2013
© Author(s) 2013. 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-13-2907-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Observationally-constrained estimates of global fine-mode AOD
Dept. Environmental Science & Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
C. E. Chung
Dept. Environmental Science & Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
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- Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment S. Bibi et al. 10.1016/j.atmosenv.2016.11.052
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34 citations as recorded by crossref.
- High-resolution daily AOD estimated to full coverage using the random forest model approach in the Beijing-Tianjin-Hebei region C. Zhao et al. 10.1016/j.atmosenv.2019.01.045
- An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness. Part 2: Application and validation in Asia X. Yan et al. 10.1016/j.rse.2018.12.012
- Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data N. Luo et al. 10.1016/j.envpol.2024.123838
- Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach X. Yan et al. 10.1016/j.envint.2021.106392
- A Two-Stage Machine Learning Algorithm for Retrieving Multiple Aerosol Properties Over Land: Development and Validation M. Cao et al. 10.1109/TGRS.2023.3307934
- How Light‐Absorbing Properties of Organic Aerosol Modify the Asian Summer Monsoon Rainfall? J. Chu et al. 10.1002/2017JD027642
- The impact of air mass advection on aerosol optical properties over Gotland (Baltic Sea) A. Zdun et al. 10.1016/j.atmosres.2016.07.022
- Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale X. Su et al. 10.1016/j.atmosenv.2023.120019
- 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
- A MISR-Based Method for the Estimation of Particle Size Distribution: Comparison with AERONET over China Y. Shao et al. 10.34133/remotesensing.0032
- Role of Coarse and Fine Mode Aerosols in MODIS AOD Retrieval: a case study over southern India M. Sai Suman et al. 10.5194/amt-7-907-2014
- Absorbing Aerosol Optical Properties and Radiative Effects on Near-Surface Photochemistry in East Asia H. Chen et al. 10.3390/rs15112779
- AEROCAN, the Canadian sub-network of AERONET: Aerosol monitoring and air quality applications C. Sioris et al. 10.1016/j.atmosenv.2017.08.044
- Investigation of curvature effect of Ångström exponent to classify the aerosol types over the region of interest (88°-98° E and 20°-30° N) N. Barman et al. 10.1016/j.apr.2018.09.002
- Sensitivity of aerosol direct radiative forcing to aerosol vertical profile J. Choi & C. Chung 10.3402/tellusb.v66.24376
- An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness, part 1: Algorithm development X. Yan et al. 10.1016/j.rse.2017.02.005
- A La Niña‐Like Climate Response to South African Biomass Burning Aerosol in CESM Simulations A. Amiri‐Farahani et al. 10.1029/2019JD031832
- The Semidirect Effect of Combined Dust and Sea Salt Aerosols in a Multimodel Analysis A. Amiri‐Farahani et al. 10.1029/2019GL084590
- The influence and contribution of fine mode particles to aerosol optical properties during haze events at the foothills of Himalaya-Karakorum region S. Mohyuddin et al. 10.1016/j.atmosenv.2022.119388
- Observationally constrained aerosol–cloud semi-direct effects R. Allen et al. 10.1038/s41612-019-0073-9
- Validating a microphysical prognostic stratospheric aerosol implementation in E3SMv2 using observations after the Mount Pinatubo eruption H. Brown et al. 10.5194/gmd-17-5087-2024
- Advances in the characterization of aerosol optical properties using long-term data from AERONET in Buenos Aires L. Cúneo et al. 10.1016/j.apr.2022.101360
- Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method X. Chen et al. 10.1016/j.rse.2020.112006
- Recent Developments in Satellite Remote Sensing for Air Pollution Surveillance in Support of Sustainable Development Goals D. Stratoulias et al. 10.3390/rs16162932
- Improving the representation of secondary organic aerosol (SOA) in the MOZART-4 global chemical transport model A. Mahmud & K. Barsanti 10.5194/gmd-6-961-2013
- An Improved Global Land Anthropogenic Aerosol Product Based on Satellite Retrievals From 2008 to 2016 C. Liang et al. 10.1109/LGRS.2020.2991730
- Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite L. Li et al. 10.1029/2020JD032665
- Evaluation of ACCMIP simulated fine-mode AOD and its implication for aerosol direct forcing H. Park et al. 10.1007/s13143-014-0025-6
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Relationship between fine-mode AOD and precipitation on seasonal and interannual time scales H. Jeoung et al. 10.3402/tellusb.v66.23037
- Global fine-mode aerosol radiative effect, as constrained by comprehensive observations C. Chung et al. 10.5194/acp-16-8071-2016
- Quantifying organic aerosol single scattering albedo over the tropical biomass burning regions J. Chu & K. Ha 10.1016/j.atmosenv.2016.09.069
- Opposite long-term trends in aerosols between low and high altitudes: a testimony to the aerosol–PBL feedback Z. Dong et al. 10.5194/acp-17-7997-2017
- Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic Network M. Kim et al. 10.3390/rs15143621
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- Light-absorbing aerosol properties retrieved from the sunphotometer observation over the Yangtze River Delta, China J. Wang et al. 10.1364/AO.57.000992
- Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment S. Bibi et al. 10.1016/j.atmosenv.2016.11.052
- Sensitivity of WRF-chem predictions to dust source function specification in West Asia S. Nabavi et al. 10.1016/j.aeolia.2016.12.005
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