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COLA's Analysis of CMIP3 Data

PI: Jennifer Adams
Institution: IGES
Abstract:
As a result of advice recently provided by the COLA Scientific Advisory Committee, we are beginning to interrogate a variety of climate models, including those employed in IPCC AR4, aka CMIP3, to determine their representation of decadal variability in various regions. The working hypothesis is that seasonal climate predictability varies from decade to decade in conjunction with large-scale decadal-scale fluctuations in the principal modes of variability such as the NAO, PDO and NPO. Several scientists at COLA will be engaged in this evaluation, so we need to create a subset of the CMIP3 archive at COLA to optimize data transport. We have previously obtained a number of primarily atmospheric variables; we need to augment the local holdings at COLA with more ocean variables. The results will be reported in peer-reviewed publications, as appropriate, and the standard acknowledgment of PCMDI will be made for all uses of these data.
Publications:
  • DelSole, T., 2006: Low-Frequency Variations of Surface Temperature in Observations and Simulations. J. Climate, 19, 4487-4507. Abstract. Edit.
  • Shukla, J., T. DelSole, M. Fennessy, J. Kinter, and D. Paolino, 2006: Climate Model Fidelity and Projections of Climate Change. Geophys. Res. Lett., 33, doi:10.1029/2005GL025579. Abstract. Edit.
  • Wei, J., P.A. Dirmeyer, and J. Zhang, 2010: Land-caused uncertainties in climate change simulations: A study with the COLA AGCM. Quart. J. Roy. Meteor. Soc., 136, 819-824, DOI: 10.1002/qj.598. Abstract. Full Article. Edit.

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