The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6
Open accessAbstract
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. 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.
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Cites
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-1937-2016 · Cited by 11,981
Self-citationBounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Self-citationThe Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241
Self-citationHoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., et al. (2018) · Geoscientific Model Development · doi:10.5194/gmd-11-369-2018 · Cited by 2,203
Self-citationEffect of climate change on air quality
Jacob, D. J., & Winner, D. A. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.09.051 · Cited by 1,979
A new method for diagnosing radiative forcing and climate sensitivity
Gregory, J. M., Ingram, W. J., Palmer, M. A., Jones, G. S., Stott, P. A., Thorpe, R. B., Lowe, J. A., Johns, T. C., & Williams, K. D. (2004) · Geophysical Research Letters · doi:10.1029/2003gl018747 · Cited by 1,075
Air Quality and Climate Connections
Fiore, A. M., Naik, V., & Leibensperger, E. M. (2015) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2015.1040526 · Cited by 537
Analysis of present-day and future OH and methane lifetime in the ACCMIP simulations
Voulgarakis, A., Naik, V., Lamarque, J.-F., Shindell, D. T., Young, P. J., Prather, M. J., Wild, O., Field, R. D., Bergmann, D., Cameron-Smith, P., et al. (2013) · Atmospheric chemistry and physics · doi:10.5194/acp-13-2563-2013 · Cited by 324
Hwang, Y., Frierson, D. M. W., & Kang, S. M. (2013) · Geophysical Research Letters · doi:10.1002/grl.50502 · Cited by 266
Cited by
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241
“AerChemMIP (Collins et al., 2016) has a Tier 1 experiment (with additional Tier 2 and 3 related studies) directed at the sensitivity of climate to near-term climate forcers.”
Self-citationThe Global Methane Budget 2000–2017
Saunois, M., Stavert, A. R., Poulter, B., Bousquet, P., Canadell, J. G., Jackson, R. B., Raymond, P. A., Dlugokencky, E. J., Houweling, S., Patra, P. K., et al. (2019) · doi:10.5194/essd-2019-128 · Cited by 2,760
Self-citationThe Global Methane Budget 2000–2017
Saunois, M., Stavert, A. R., Poulter, B., Bousquet, P., Canadell, J. G., Jackson, R. B., Raymond, P. A., Dlugokencky, E. J., Houweling, S., Patra, P. K., et al. (2020) · Earth System Science Data · doi:10.5194/essd-12-1561-2020 · Cited by 2,711
Self-citationThe shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., et al. (2020) · Geoscientific Model Development · doi:10.5194/gmd-13-3571-2020 · Cited by 1,815
“, 2016) and AerChemMIP (Collins et al., 2017), that require concentration-driven runs (see search.”
BackgroundMethodInfluentialSelf-citation(2019) · doi:10.5194/gmd-12-1443-2019 · Cited by 1,093
Metadata
- Authors
- Collins, W. J., Lamarque, J.-F., Schulz, M., Boucher, O., Eyring, V., Hegglin, M. I., Maycock, A., Myhre, G., Prather, M., Shindell, D., & Smith, S. J.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2017-02-09
- Volume
- 10
- Issue
- 2
- Pages
- 585-607
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2460445755
- Cited by
- 380
- References
- 9
- FWCI
- 11.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Collins, W. J., Lamarque, J.-F., Schulz, M., Boucher, O., Eyring, V., Hegglin, M. I., Maycock, A., Myhre, G., Prather, M., Shindell, D., & Smith, S. J. (2017). AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6. Geoscientific Model Development. https://doi.org/10.5194/gmd-10-585-2017
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
