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Title: AerChemMIP: Quantifying the effects of chemistry and aerosols in CMIP6

Abstract

The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) is endorsed by the Coupled-Model Intercomparison Project 6 (CMIP6) and is designed to quantify the climate and air quality impacts of aerosols and chemically reactive gases. These are specifically near-term climate forcers (NTCFs: methane, tropospheric ozone and aerosols, and their precursors), nitrous oxide and ozone-depleting halocarbons. The aim of AerChemMIP is to answer four scientific questions. 1. How have anthropogenic emissions contributed to global radiative forcing and affected regional climate over the historical period? 2. How might future policies (on climate, air quality and land use) affect the abundances of NTCFs and their climate impacts? 3.How do uncertainties in historical NTCF emissions affect radiative forcing estimates? 4. How important are climate feedbacks to natural NTCF emissions, atmospheric composition, and radiative effects? These questions will be addressed through targeted simulations with CMIP6 climate models that include an interactive representation of tropospheric aerosols and atmospheric chemistry. These simulations build on the CMIP6 Diagnostic, Evaluation and Characterization of Klima (DECK) experiments, the CMIP6 historical simulations, and future projections performed elsewhere in CMIP6, allowing the contributions from aerosols and/or chemistry to be quantified. As a result, specific diagnostics are requested as part of the CMIP6 data requestmore » to highlight the chemical composition of the atmosphere, to evaluate the performance of the models, and to understand differences in behaviour between them.« less

Authors:
ORCiD logo [1];  [2];  [3]; ORCiD logo [4];  [5];  [1];  [6];  [7]; ORCiD logo [8]; ORCiD logo [9]; ORCiD logo [10]
+ Show Author Affiliations
  1. Univ. of Reading, Reading (United Kingdom)
  2. National Center for Atmospheric Research, Boulder, CO (United States)
  3. Norwegian Meteorological Institute, Oslo (Norway)
  4. Univ. Pierre et Maire Curie/CNRS, Paris (France)
  5. Institut fur Physik der Atmosphare, Oberpfaffenhofen (Germany)
  6. Univ. of Leeds, Leeds (United Kingdom)
  7. CICERO - Center for International Climate and Environmental Research Oslo, Oslo (Norway)
  8. Univ. of California, Irvine, CA (United States)
  9. Duke Univ., Durham, NC (United States)
  10. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1349156
Report Number(s):
PNNL-SA-121058
Journal ID: ISSN 1991-9603; KP1703020
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 10; Journal Issue: 2; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Collins, William J., Lamarque, Jean -François, Schulz, Michael, Boucher, Olivier, Eyring, Veronika, Hegglin, Michaela I., Maycock, Amanda, Myhre, Gunnar, Prather, Michael, Shindell, Drew, and Smith, Steven J. AerChemMIP: Quantifying the effects of chemistry and aerosols in CMIP6. United States: N. p., 2017. Web. doi:10.5194/gmd-10-585-2017.
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Collins, William J., Lamarque, Jean -François, Schulz, Michael, Boucher, Olivier, Eyring, Veronika, Hegglin, Michaela I., Maycock, Amanda, Myhre, Gunnar, Prather, Michael, Shindell, Drew, & Smith, Steven J. AerChemMIP: Quantifying the effects of chemistry and aerosols in CMIP6. United States. https://doi.org/10.5194/gmd-10-585-2017
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Collins, William J., Lamarque, Jean -François, Schulz, Michael, Boucher, Olivier, Eyring, Veronika, Hegglin, Michaela I., Maycock, Amanda, Myhre, Gunnar, Prather, Michael, Shindell, Drew, and Smith, Steven J. Thu . "AerChemMIP: Quantifying the effects of chemistry and aerosols in CMIP6". United States. https://doi.org/10.5194/gmd-10-585-2017. https://www.osti.gov/servlets/purl/1349156.
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@article{osti_1349156,
title = {AerChemMIP: Quantifying the effects of chemistry and aerosols in CMIP6},
author = {Collins, William J. and Lamarque, Jean -François and Schulz, Michael and Boucher, Olivier and Eyring, Veronika and Hegglin, Michaela I. and Maycock, Amanda and Myhre, Gunnar and Prather, Michael and Shindell, Drew and Smith, Steven J.},
abstractNote = {The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) is endorsed by the Coupled-Model Intercomparison Project 6 (CMIP6) and is designed to quantify the climate and air quality impacts of aerosols and chemically reactive gases. These are specifically near-term climate forcers (NTCFs: methane, tropospheric ozone and aerosols, and their precursors), nitrous oxide and ozone-depleting halocarbons. The aim of AerChemMIP is to answer four scientific questions. 1. How have anthropogenic emissions contributed to global radiative forcing and affected regional climate over the historical period? 2. How might future policies (on climate, air quality and land use) affect the abundances of NTCFs and their climate impacts? 3.How do uncertainties in historical NTCF emissions affect radiative forcing estimates? 4. How important are climate feedbacks to natural NTCF emissions, atmospheric composition, and radiative effects? These questions will be addressed through targeted simulations with CMIP6 climate models that include an interactive representation of tropospheric aerosols and atmospheric chemistry. These simulations build on the CMIP6 Diagnostic, Evaluation and Characterization of Klima (DECK) experiments, the CMIP6 historical simulations, and future projections performed elsewhere in CMIP6, allowing the contributions from aerosols and/or chemistry to be quantified. As a result, specific diagnostics are requested as part of the CMIP6 data request to highlight the chemical composition of the atmosphere, to evaluate the performance of the models, and to understand differences in behaviour between them.},
doi = {10.5194/gmd-10-585-2017},
journal = {Geoscientific Model Development (Online)},
number = 2,
volume = 10,
place = {United States},
year = {Thu Feb 09 00:00:00 EST 2017},
month = {Thu Feb 09 00:00:00 EST 2017}
}
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