An overview of CMIP5 and the experiment design

By K. Taylor, R. Stouffer, Gerald A. Meehl. 2012

13,707 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/2dda5d78bc9458b2a2ccd01341becb4bae35cc4b

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Citations in the corpus

Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions (2013, background): “We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for the Climate Model Intercomparison Project (CMIP), and we thank the climate modeling groups (listed in Table S3 of this paper) for producing and making available their model output.”
Weighting climate model ensembles for mean and variance estimates (2015, methodology): “All ensemble members were integrated over the period 1851–2010, following the protocol for the CMIP5 Historical experiment (Taylor et al. 2012).”
On the Correspondence between Mean Forecast Errors and Climate Errors in CMIP5 Models (2013, neutral): “A detailed experiment design for CMIP5/AMIP can be referred to Taylor et al. (2012).”
Emergent Constraints for Cloud Feedbacks (2015, positive): “An exception is that of Zhao [55] who offer a well-developed physical argument based upon the precipitation efficiency of moist convection; this constraint may become promising or even confirmed if it can be shown to apply to CMIP-class ensembles and not solely within a multiphysics ensemble of a si”
CMIP5 historical simulations (1850–2012) with GISS ModelE2 (2014, methodology): “The period of 1850 to the present has been chosen for coordinated climate modeling experiments comprising Phase 5 of the Coupled Model Intercomparison Project (CMIP5) [Taylor et al., 2012].”
Disaster risk, climate change, and poverty: assessing the global exposure of poor people to floods and droughts (2015, background): “, 2013) for an ensemble of five Global Climate Models (GCMs) from the CMIP5 project (Taylor et al., 2012).”
Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century (2018, methodology): “…Model Intercomparison Project Phase 3 (CMIP3) (Solomon et al., 2007), whereas the following generation of scenarios denoted the “Representative Concentration Pathways” (RCPs) were used to generate emissions trajectories in CMIP5 (Moss et al., 2010; van Vuuren et al., 2011; Taylor et al., 2012).”
The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall Coupled Model Description and Simulation Characteristics (2020, background): “Over this same time, the vision of the Coupled Model Intercomparison Project evolved from being centered on a few key idealized, historical and future projection scenarios in CMIP5 to a broad and nested structure of model intercomparison in CMIP6 (Eyring et al., 2016).”
Drawbacks to palaeodistribution modelling: the case of South American seasonally dry forests (2013, methodology): “…obtained from the Coupled Model Intercomparison Project Phase 5 (CMIP5: http://cmip-pcmdi.llnl.gov/) and the Paleoclimate Modelling Intercomparison Project Phase 3 (PMIP3: http://pmip3.lsce.ipsl.fr/); more details about the climate models are provided in Appendix S2 (see also Taylor et al., 2012).”
A verification framework for interannual-to-decadal predictions experiments (2012, neutral): “This approximately decadal period is the common time horizon of the CMIP5 decadal prediction experiments.”
Climate change impacts on the power generation potential of a European mid-century wind farms scenario (2016, background): “…are produced with the state-of-the-art regional climate models (RCM) downscaling some of the state-of-theart CMIP5 global climate model (GCM) projections (Taylor et al 2012), forced by the newGHG concentration scenarios, the so-called representative concentration pathways (RCP, Moss et al 2010).”
Radiative forcing in the ACCMIP historical and future climate simulations (2013, background): “The CMIP5 project (Taylor et al., 2012) compares historical and future climate simulations from coupled oceanatmosphere models, but similarly provides little information on aerosol or ozone forcing.”