A more powerful reality test for climate models

Eos (United States)

Volumn 97, Issue 12, 2016, Pages 20-24

  Gleckler, Peter J ^a   Doutriaux, Charles ^a   Durack, Paul J ^a   Taylor, Karl E ^a   Zhang, Yuying ^a   Williams, Dean N ^a   Mason, Erik ^b   Servonnat, Jérôme ^c  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; CLIMATE MODELING; CMIP; EOS;

EID: 84979765674     PISSN: 00963941     EISSN: 23249250     Source Type: Journal    
DOI: 10.1029/2016eo051663     Document Type: Article

References (8)

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2. Eyring, V., S. Bony, G. A. Meehl, C. Senior, B. Stevens, R. J. Stouffer, and K. E. Taylor (2015), Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organisation, Geosci. Model Dev. Discuss., 8, 10539-10583, doi:10.5194/gmdd-8-10539-2015.
3. Flato, G., et al. (2013), Evaluation of climate models, in Climate Change 2013: The Physical Science Basis-Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by T. F. Stocker et al., pp. 741-866, Cambridge Univ. Press, Cambridge, U. K., doi:10.1017/CBO9781107415324.020.
4. Gleckler, P. J., K. E. Taylor, and C. Doutriaux (2008), Performance metrics for climate models, J. Geophys. Res., 113, D06104, doi:10.1029/2007JD008972.
5. Meehl, G. A., R. Moss, K. E. Taylor, V. Eyring, R. J. Stouffer, S. Bony, and B. Stevens (2014), Climate model intercomparison: Preparing for the next phase, Eos Trans. AGU, 95(9), 77-78, doi:10.1002/2014EO090001.
6. Taylor, K. E., R. J. Stouffer, and G. A. Meehl, (2012), An overview of CMIP5 and the experiment design, Bull. Am. Meteorol. Soc., 93, 485-498, doi:10.1175/BAMS-D-11-00094.1.
7. Williams, D. N. (2014), Visualization and analysis tools for ultrascale climate data, Eos Trans. AGU, 95(42), 377-378, doi:10.1002/2014EO420002.
8. Williams, D. N., et al. (2016), UV-CDAT v2.4.0, Zenodo, Geneva, Switzerland, doi:10.5281/zenodo.45136.