The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
The Radiative Forcing Model Intercomparison Project (RFMIP): experimental protocol for CMIP6
Open accessAbstract
Abstract. The phrasing of the first of three questions motivating CMIP6 – “How does the Earth system respond to forcing?” – suggests that forcing is always well-known, yet the radiative forcing to which this question refers has historically been uncertain in coordinated experiments even as understanding of how best to infer radiative forcing has evolved. The Radiative Forcing Model Intercomparison Project (RFMIP) endorsed by CMIP6 seeks to provide a foundation for answering the question through three related activities: (i) accurate characterization of the effective radiative forcing relative to a near-preindustrial baseline and careful diagnosis of the components of this forcing; (ii) assessment of the absolute accuracy of clear-sky radiative transfer parameterizations against reference models on the global scales relevant for climate modeling; and (iii) identification of robust model responses to tightly specified aerosol radiative forcing from 1850 to present. Complete characterization of effective radiative forcing can be accomplished with 180 years (Tier 1) of atmosphere-only simulation using a sea-surface temperature and sea ice concentration climatology derived from the host model's preindustrial control simulation. Assessment of parameterization error requires trivial amounts of computation but the development of small amounts of infrastructure: new, spectrally detailed diagnostic output requested as two snapshots at present-day and preindustrial conditions, and results from the model's radiation code applied to specified atmospheric conditions. The search for robust responses to aerosol changes relies on the CMIP6 specification of anthropogenic aerosol properties; models using this specification can contribute to RFMIP with no additional simulation, while those using a full aerosol model are requested to perform at least one and up to four 165-year coupled ocean–atmosphere simulations at Tier 1.
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Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
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Self-citationThe HITRAN2016 molecular spectroscopic database
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Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
The HITRAN2012 molecular spectroscopic database
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Atmospheric radiative transfer modeling: a summary of the AER codes
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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
Causes of Higher Climate Sensitivity in CMIP6 Models
Zelinka, M. D., Myers, T. A., McCoy, D. T., Po‐Chedley, S., Caldwell, P. M., Ceppi, P., Klein, S. A., & Taylor, K. E. (2020) · Geophysical Research Letters · doi:10.1029/2019gl085782 · Cited by 1,747
Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., et al. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001400 · Cited by 1,520
Self-citationDunne, J. P., Horowitz, L. W., Adcroft, A. J., Ginoux, P., Held, I. M., John, J. G., Krasting, J. P., Malyshev, S., Naik, V., Paulot, F., et al. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms002015 · Cited by 982
The Australian Earth System Model: ACCESS-ESM1.5
Ziehn, T., Chamberlain, M. A., Law, R. M., Lenton, A., Bodman, R. W., Dix, M., Stevens, L., Wang, Y.-P., & Srbinovsky, J. (2020) · Journal of Southern Hemisphere Earth Systems Science · doi:10.1071/es19035 · Cited by 640
Metadata
- Authors
- Pincus, R., Forster, P. M., & Stevens, B.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2016-09-27
- Volume
- 9
- Issue
- 9
- Pages
- 3447-3460
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2400836904
- Cited by
- 295
- References
- 70
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
