Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model

Liu, X.; Ma, P. -L.; Wang, H.; Tilmes, S.; Singh, B.; Easter, R. C.; Ghan, S. J.; Rasch, P. J.

doi:10.5194/gmd-9-505-2016

Title: Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model

Journal Article · Mon Feb 08 00:00:00 EST 2016 · Geoscientific Model Development (Online)

DOI:https://doi.org/10.5194/gmd-9-505-2016· OSTI ID:1243191

Liu, X. ^[1]; Ma, P. -L. ^[2]; Wang, H. ^[2]; Tilmes, S. ^[3]; Singh, B. ^[2]; Easter, R. C. ^[2]; Ghan, S. J. ^[2]; Rasch, P. J. ^[2]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Univ. of Wyoming, Laramie, WY (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
National Center for Atmospheric Research, Boulder, CO (United States)

Atmospheric carbonaceous aerosols play an important role in the climate system by influencing the Earth's radiation budgets and modifying the cloud properties. Despite the importance, their representations in large-scale atmospheric models are still crude, which can influence model simulated burden, lifetime, physical, chemical and optical properties, and the climate forcing of carbonaceous aerosols. In this study, we improve the current three-mode version of the Modal Aerosol Module (MAM3) in the Community Atmosphere Model version 5 (CAM5) by introducing an additional primary carbon mode to explicitly account for the microphysical ageing of primary carbonaceous aerosols in the atmosphere. Compared to MAM3, the four-mode version of MAM (MAM4) significantly increases the column burdens of primary particulate organic matter (POM) and black carbon (BC) by up to 40 % in many remote regions, where in-cloud scavenging plays an important role in determining the aerosol concentrations. Differences in the column burdens for other types of aerosol (e.g., sulfate, secondary organic aerosols, mineral dust, sea salt) are less than 1 %. Evaluating the MAM4 simulation against in situ surface and aircraft observations, we find that MAM4 significantly improves the simulation of seasonal variation of near-surface BC concentrations in the polar regions, by increasing the BC concentrations in all seasons and particularly in cold seasons. However, it exacerbates the overestimation of modeled BC concentrations in the upper troposphere in the Pacific regions. As a result, the comparisons suggest that, to address the remaining model POM and BC biases, future improvements are required related to (1) in-cloud scavenging and vertical transport in convective clouds and (2) emissions of anthropogenic and biomass burning aerosols.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1243191

Report Number(s):: PNNL-SA-110649; KP1703020

Journal Information:: Geoscientific Model Development (Online), Vol. 9, Issue 2; ISSN 1991-9603

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 283 works

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The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 Bogenschutz, Peter A.; Gettelman, Andrew; Hannay, Cecile Geoscientific Model Development, Vol. 11, Issue 1 https://doi.org/10.5194/gmd-11-235-2018	journal	January 2018
A simple model for the time evolution of the condensation sink in the atmosphere for intermediate Knudsen numbers Ezhova, Ekaterina; Matti-Kerminen, Veli; Lehtinen, Kari E. J. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-2017-986	posted_content	November 2017
Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation Fanourgakis, George S.; Kanakidou, Maria; Nenes, Athanasios ETH Zurich https://doi.org/10.3929/ethz-b-000353115	text	January 2019
Aerosols at the Poles: An AeroCom Phase II multi-model evaluation Sand, Maria; Samset, Bjørn H.; Balkanski, Yves Atmospheric Chemistry and Physics Discussions https://doi.org/10.5194/acp-2016-1120	posted_content	February 2017
Effective radiative forcing in the aerosol-climate model CAM5.3-MARC-ARG Grandey, Benjamin S.; Rothenberg, Daniel; Avramov, Alexander arXiv https://doi.org/10.48550/arxiv.1804.06158	text	January 2018
Impacts of wildfire aerosols on global energy budget and climate: The role of climate feedbacks Jiang, Yiquan; Yang, Xiu-Qun; Liu, Xiaohong EGU General Assembly 2020 https://doi.org/10.5194/egusphere-egu2020-10180	conference	May 2020

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