Climate extremes indices in the CMIP5 multimodel ensemble: Part 1. Model evaluation in the present climate
Tóm tắt
This paper provides a first overview of the performance of state‐of‐the‐art global climate models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating climate extremes indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), and compares it to that in the previous model generation (CMIP3). For the first time, the indices based on daily temperature and precipitation are calculated with a consistent methodology across multimodel simulations and four reanalysis data sets (ERA40, ERA‐Interim, NCEP/NCAR, and NCEP‐DOE) and are made available at the ETCCDI indices archive website. Our analyses show that the CMIP5 models are generally able to simulate climate extremes and their trend patterns as represented by the indices in comparison to a gridded observational indices data set (HadEX2). The spread amongst CMIP5 models for several temperature indices is reduced compared to CMIP3 models, despite the larger number of models participating in CMIP5. Some improvements in the CMIP5 ensemble relative to CMIP3 are also found in the representation of the magnitude of precipitation indices. We find substantial discrepancies between the reanalyses, indicating considerable uncertainties regarding their simulation of extremes. The overall performance of individual models is summarized by a “portrait” diagram based on root‐mean‐square errors of model climatologies for each index and model relative to four reanalyses. This metric analysis shows that the median model climatology outperforms individual models for all indices, but the uncertainties related to the underlying reference data sets are reflected in the individual model performance metrics.
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Tài liệu tham khảo
Donat M. G., 2013, Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset, J. Geophys. Res.
Haylock M. R., 2008, A European daily high‐resolution gridded data set of surface temperature and precipitation for 1950‐2006, J. Geophys. Res., 113, 10.1029/2008JD010201
IPCC(2012) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change Cambridge University Press Cambridge UK and New York NY USA 582 pp.
Karl T. R. et al. (1993) Asymmetric trends of daily maximum and minimum temperature Papers in Natural Resources Paper 185.
Klein Tank A. M. G. F. W.Zwiers andX.Zhang(2009) Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation Climate data and monitoring WCDMP‐No. 72 WMO‐TD No. 1500 56 pp.
NCEP‐NCAR NCEP/NCAR reanalysis problems list Available online athttp://www.esrl.noaa.gov/psd/data/reanalysis/problems.shtml 2011.
Randall D. et al. (2007) Climate Models and Their Evaluation. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press Cambridge United Kingdom and New York NY USA.
Sato M., 1993, Stratospheric aerosol optical depth, 1850‐1990, J. Geophys. Res., 98, 987
Seneviratne S. et al. (2012) Changes in climate extremes and their impacts on the natural physical environment. In: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation chap. 3 A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change.
Sillmann J., 2013, Climate extreme indices in the CMIP5 multi‐model ensemble. Part 2: Future projections, J. Geophys. Res.
Trenberth K. et al. (2007) Observations: Surface and Atmospheric Climate Change. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press Cambridge United Kingdom and New York NY USA.
2013 Climate Science for Serving Society: Research Modelling and Prediction Priorities Springer F. Zwiers Challenges in Estimating and Understanding Recent Changes in the Frequency and Intensity of Extreme Climate and Weather Events