Climate Dynamics

, Volume 43, Issue 9, pp 2491–2518

Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation

Article

DOI: 10.1007/s00382-014-2070-3

Cite this article as:
Kumar, D., Kodra, E. & Ganguly, A.R. Clim Dyn (2014) 43: 2491. doi:10.1007/s00382-014-2070-3

Abstract

Regional and seasonal temperature and precipitation over land are compared across two generations of global climate model ensembles, specifically, CMIP5 and CMIP3, through historical twentieth century skills and multi-model agreement, and twenty first century projections. A suite of diagnostic and performance metrics, ranging from spatial bias or model-consensus maps and aggregate time series plots, to measures of equivalence between probability density functions and Taylor diagrams, are used for the intercomparisons. Pairwise and multi-model ensemble comparisons were performed for 11 models, which were selected based on data availability and resolutions. Results suggest little change in the central tendency or variability or uncertainty of historical skills or consensus across the two generations of models. However, there are regions and seasons, at different levels of aggregation, where significant changes, performance improvements, and even degradation in skills, are suggested. The insights may provide directions for further improvements in next generations of climate models, and in the meantime, help inform adaptation and policy.

Keywords

CMIP5 modelsCMIP3 modelsModel evaluationClimate projections

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Devashish Kumar
    • 1
  • Evan Kodra
    • 1
  • Auroop R. Ganguly
    • 1
  1. 1.Sustainability and Data Sciences Laboratory, Civil and Environmental EngineeringNortheastern UniversityBostonUSA