Articles | Volume 8, issue 3
https://doi.org/10.5194/gmd-8-631-2015
© 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/gmd-8-631-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
20 Mar 2015
Development and technical paper |
| 20 Mar 2015
Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
Y. H. Lee
CORRESPONDING AUTHOR
Earth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
P. J. Adams
Department of Civil and Environmental Engineering and Department of Engineering Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
D. T. Shindell
Earth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
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- On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al. 10.5194/acp-16-2765-2016
- Global fine-mode aerosol radiative effect, as constrained by comprehensive observations C. Chung et al. 10.5194/acp-16-8071-2016
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
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- An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
- Fungal treatment for liquid waste containing U(VI) and Th(IV) E. Ghoniemy et al. 10.1016/j.btre.2020.e00472
- Recovery of uranium from solutions using Aspergillus nidulans isolated from monazite mineral S. Mansour Abozaid et al. 10.1080/03067319.2021.1939022
- Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. 10.5194/gmd-12-541-2019
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Saved (final revised paper)
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Latest update: 23 Nov 2024
Short summary
We have implemented the TwO-Moment Aerosol Sectional (TOMAS) microphysics model in NASA GISS ModelE2, called “ModelE2-TOMAS”. We compared global budgets of ModelE2-TOMAS to other global aerosol models and evaluated the model with various observations such as aerosol precursor gas, aerosol mass, number concentrations, and aerosol optical depth. We found that ModelE2-TOMAS agrees with observations reasonably and that its predictions are within the range of other global aerosol model predictions.
We have implemented the TwO-Moment Aerosol Sectional (TOMAS) microphysics model in NASA GISS...
