Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations

The TwO-Moment Aerosol Sectional (TOMAS) microphysics model has been integrated into the state-of-the-art general circulation model, GISS ModelE2. This paper provides a detailed description of the ModelE2-TOMAS model and evaluates the model against various observations including aerosol precursor ga...

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Main Authors: Y. H. Lee, P. J. Adams, D. T. Shindell
Format: Article
Language:English
Published: Copernicus Publications 2015-03-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/8/631/2015/gmd-8-631-2015.pdf
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author Y. H. Lee
P. J. Adams
D. T. Shindell
author_facet Y. H. Lee
P. J. Adams
D. T. Shindell
author_sort Y. H. Lee
collection DOAJ
description The TwO-Moment Aerosol Sectional (TOMAS) microphysics model has been integrated into the state-of-the-art general circulation model, GISS ModelE2. This paper provides a detailed description of the ModelE2-TOMAS model and evaluates the model against various observations including aerosol precursor gas concentrations, aerosol mass and number concentrations, and aerosol optical depths. Additionally, global budgets in ModelE2-TOMAS are compared with those of other global aerosol models, and the ModelE2-TOMAS model is compared to the default aerosol model in ModelE2, which is a one-moment aerosol (OMA) model (i.e. no aerosol microphysics). Overall, the ModelE2-TOMAS predictions are within the range of other global aerosol model predictions, and the model has a reasonable agreement (mostly within a factor of 2) with observations of sulfur species and other aerosol components as well as aerosol optical depth. However, ModelE2-TOMAS (as well as ModelE2-OMA) cannot capture the observed vertical distribution of sulfur dioxide over the Pacific Ocean, possibly due to overly strong convective transport and overpredicted precipitation. The ModelE2-TOMAS model simulates observed aerosol number concentrations and cloud condensation nuclei concentrations roughly within a factor of 2. Anthropogenic aerosol burdens in ModelE2-OMA differ from ModelE2-TOMAS by a few percent to a factor of 2 regionally, mainly due to differences in aerosol processes including deposition, cloud processing, and emission parameterizations. We observed larger differences for naturally emitted aerosols such as sea salt and mineral dust, as those emission rates are quite different due to different upper size cutoff assumptions.
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spelling doaj.art-ed3d43e3592b43cc8ceefea879f7a8052022-12-21T20:38:03ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032015-03-018363166710.5194/gmd-8-631-2015Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observationsY. H. Lee0P. J. Adams1D. T. Shindell2Earth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, NC 27708, USADepartment of Civil and Environmental Engineering and Department of Engineering Public Policy, Carnegie Mellon University, Pittsburgh, PA, USAEarth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, NC 27708, USAThe TwO-Moment Aerosol Sectional (TOMAS) microphysics model has been integrated into the state-of-the-art general circulation model, GISS ModelE2. This paper provides a detailed description of the ModelE2-TOMAS model and evaluates the model against various observations including aerosol precursor gas concentrations, aerosol mass and number concentrations, and aerosol optical depths. Additionally, global budgets in ModelE2-TOMAS are compared with those of other global aerosol models, and the ModelE2-TOMAS model is compared to the default aerosol model in ModelE2, which is a one-moment aerosol (OMA) model (i.e. no aerosol microphysics). Overall, the ModelE2-TOMAS predictions are within the range of other global aerosol model predictions, and the model has a reasonable agreement (mostly within a factor of 2) with observations of sulfur species and other aerosol components as well as aerosol optical depth. However, ModelE2-TOMAS (as well as ModelE2-OMA) cannot capture the observed vertical distribution of sulfur dioxide over the Pacific Ocean, possibly due to overly strong convective transport and overpredicted precipitation. The ModelE2-TOMAS model simulates observed aerosol number concentrations and cloud condensation nuclei concentrations roughly within a factor of 2. Anthropogenic aerosol burdens in ModelE2-OMA differ from ModelE2-TOMAS by a few percent to a factor of 2 regionally, mainly due to differences in aerosol processes including deposition, cloud processing, and emission parameterizations. We observed larger differences for naturally emitted aerosols such as sea salt and mineral dust, as those emission rates are quite different due to different upper size cutoff assumptions.http://www.geosci-model-dev.net/8/631/2015/gmd-8-631-2015.pdf
spellingShingle Y. H. Lee
P. J. Adams
D. T. Shindell
Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
Geoscientific Model Development
title Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
title_full Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
title_fullStr Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
title_full_unstemmed Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
title_short Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
title_sort evaluation of the global aerosol microphysical modele2 tomas model against satellite and ground based observations
url http://www.geosci-model-dev.net/8/631/2015/gmd-8-631-2015.pdf
work_keys_str_mv AT yhlee evaluationoftheglobalaerosolmicrophysicalmodele2tomasmodelagainstsatelliteandgroundbasedobservations
AT pjadams evaluationoftheglobalaerosolmicrophysicalmodele2tomasmodelagainstsatelliteandgroundbasedobservations
AT dtshindell evaluationoftheglobalaerosolmicrophysicalmodele2tomasmodelagainstsatelliteandgroundbasedobservations