Articles | Volume 12, issue 13
https://doi.org/10.5194/acp-12-5719-2012
© Author(s) 2012. 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-12-5719-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Jul 2012
Research article |
| 02 Jul 2012
Regional and global modeling of aerosol optical properties with a size, composition, and mixing state resolved particle microphysics model
F. Yu
Atmospheric Sciences Research Center, State University of New York, 251 Fuller Road, Albany, New York 12203, USA
G. Luo
Atmospheric Sciences Research Center, State University of New York, 251 Fuller Road, Albany, New York 12203, USA
X. Ma
Atmospheric Sciences Research Center, State University of New York, 251 Fuller Road, Albany, New York 12203, USA
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- Aerosol radiative effects on tropospheric photochemistry with GEOS-Chem simulations R. Tian et al. 10.1016/j.atmosenv.2019.03.032
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- Freeze-thaw process boosts penguin-derived NH3 emissions and enhances climate-relevant particles formation in Antarctica R. Tian et al. 10.1038/s41612-024-00873-1
- Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. 10.1016/j.solener.2022.01.061
- A unified approach to infrared aerosol remote sensing and type specification L. Clarisse et al. 10.5194/acp-13-2195-2013
- Seasonal and spatial variations of global aerosol optical depth: multi-year modelling with GEOS-Chem-APM and comparisons with multiple-platform observations X. Ma & F. Yu 10.3402/tellusb.v67.25115
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- Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF–CMAQ: model description, development, evaluation and regional analysis S. Yu et al. 10.5194/acp-14-11247-2014
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- Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements A. Panagiotopoulou et al. 10.5194/gmd-9-4257-2016
- Smoke from 2020 United States wildfires responsible for substantial solar energy forecast errors T. Juliano et al. 10.1088/1748-9326/ac5143
- Comparison of GEOS‐Chem aerosol optical depth with AERONET and MISR data over the contiguous United States S. Li et al. 10.1002/jgrd.50867
- An examination of the algorithm for estimating light extinction from IMPROVE particle speciation data A. Prenni et al. 10.1016/j.atmosenv.2019.116880
- Seasonal variability of aerosol vertical profiles over east US and west Europe: GEOS-Chem/APM simulation and comparison with CALIPSO observations X. Ma & F. Yu 10.1016/j.atmosres.2014.01.001
- Retrievals of Aerosol Size Distribution, Spherical Fraction, and Complex Refractive Index From Airborne In Situ Angular Light Scattering and Absorption Measurements W. Espinosa et al. 10.1029/2018JD030009
- Development of an aerosol microphysical module: Aerosol Two-dimensional bin module for foRmation and Aging Simulation (ATRAS) H. Matsui et al. 10.5194/acp-14-10315-2014
- Further improvement of wet process treatments in GEOS-Chem v12.6.0: impact on global distributions of aerosols and aerosol precursors G. Luo et al. 10.5194/gmd-13-2879-2020
- Real refractive indices and volatility of secondary organic aerosol generated from photooxidation and ozonolysis of limonene, α-pinene and toluene H. Kim & S. Paulson 10.5194/acp-13-7711-2013
- Comparison of discrete, discrete-sectional, modal and moment models for aerosol dynamics simulations H. Zhang et al. 10.1080/02786826.2020.1723787
- Uncertainties of simulated aerosol optical properties induced by assumptions on aerosol physical and chemical properties: An AQMEII-2 perspective G. Curci et al. 10.1016/j.atmosenv.2014.09.009
- Influence of particle-phase state on the hygroscopic behavior of mixed organic–inorganic aerosols N. Hodas et al. 10.5194/acp-15-5027-2015
- A multi-model evaluation of aerosols over South Asia: common problems and possible causes X. Pan et al. 10.5194/acp-15-5903-2015
- Constraining the complex refractive index of black carbon particles using the complex forward-scattering amplitude N. Moteki et al. 10.1080/02786826.2023.2202243
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- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. 10.1038/s41612-023-00520-1
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