Development and Evaluation of Chemistry-Aerosol-Climate Model CAM5-Chem-MAM7-MOSAIC: Global Atmospheric Distribution and Radiative Effects of Nitrate Aerosol.

Aerosol model anthropogenic emissions climate change climate model nitrate aerosol radiative effects

Journal

Journal of advances in modeling earth systems
ISSN: 1942-2466
Titre abrégé: J Adv Model Earth Syst
Pays: United States
ID NLM: 101691496

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 18 09 2020
revised: 24 03 2021
accepted: 26 03 2021
entrez: 5 7 2021
pubmed: 6 7 2021
medline: 6 7 2021
Statut: ppublish

Résumé

An advanced aerosol treatment, with a focus on semivolatile nitrate formation, is introduced into the Community Atmosphere Model version 5 with interactive chemistry (CAM5-chem) by coupling the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) with the 7-mode Modal Aerosol Module (MAM7). An important feature of MOSAIC is dynamic partitioning of all condensable gases to the different fine and coarse mode aerosols, as governed by mode-resolved thermodynamics and heterogeneous chemical reactions. Applied in the free-running mode from 1995 to 2005 with prescribed historical climatological conditions, the model simulates global distributions of sulfate, nitrate, and ammonium in good agreement with observations and previous studies. Inclusion of nitrate resulted in ∼10% higher global average accumulation mode number concentrations, indicating enhanced growth of Aitken mode aerosols from nitrate formation. While the simulated accumulation mode nitrate burdens are high over the anthropogenic source regions, the sea-salt and dust modes respectively constitute about 74% and 17% of the annual global average nitrate burden. Regional clear-sky shortwave radiative cooling of up to -5 W m

Identifiants

pubmed: 34221239
doi: 10.1029/2020MS002346
pii: JAME21344
pmc: PMC8243931
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e2020MS002346

Informations de copyright

© 2021. Battelle Memorial Institute.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest relevant to this study.

Références

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pubmed: 20921372
Proc Natl Acad Sci U S A. 2016 Nov 29;113(48):13630-13635
pubmed: 27849598
Nature. 2020 May;581(7807):184-189
pubmed: 32405020

Auteurs

Rahul A Zaveri (RA)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Richard C Easter (RC)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Balwinder Singh (B)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Hailong Wang (H)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Zheng Lu (Z)

Department of Atmospheric Sciences Texas A&M University College Station TX USA.

Simone Tilmes (S)

Atmospheric Chemistry Observations and Modeling Laboratory National Center for Atmospheric Research Boulder CO USA.

Louisa K Emmons (LK)

Atmospheric Chemistry Observations and Modeling Laboratory National Center for Atmospheric Research Boulder CO USA.

Francis Vitt (F)

Atmospheric Chemistry Observations and Modeling Laboratory National Center for Atmospheric Research Boulder CO USA.

Rudong Zhang (R)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Xiaohong Liu (X)

Department of Atmospheric Sciences Texas A&M University College Station TX USA.

Steven J Ghan (SJ)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Philip J Rasch (PJ)

Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA.

Classifications MeSH