The PCMDI Metrics Package (PMP) is a capability that can be used to produce a diverse suite of objective summaries of Earth System Model (ESM) agreement with observations. At PCMDI, we are routinely applying the PMP to multiple generations of CMIP, including the most recent results from CMIP6 as they become available. The summaries available below will be regularly updated with new and an expanding set of results.
Based on the work of Lee et al. (2019), we present skill metrics for the Northern Annular Model (NAM), the North Atlantic Oscillation (NAO), the Southern Annular Mode (SAM), the Pacific North American pattern (PNA), the North Pacific Oscillation (NPO), the Pacific Decadal Oscillation (PDO), and the North Pacific Gyre Oscillation (NPGO). For NAM, NAO, SAM, PNA, and NPO the results are based on sea-level pressure, while the results for PDO and NPGO are based on sea surface temperature. Our approach distinguishes itself from other studies that analyze modes of variability in that we use the Common Basis Function approach (CBF), in which model anomalies are projected onto the observed modes of variability. Using the Historical simulations, the skill of the spatial patterns is given by the Root-Mean-Squared-Error (RMSE), and the Amplitude gives the standard deviation of the Principal Component time series. The skill metrics are calculated with respect to a primary and secondary sets of observations denoted by the triangles in each cell of the Portrait Plots.
For a brief description of the results, please click here. For more detailed information see:
Lee, J., Sperber, K.R., Gleckler, P.J., Bonfils, C.J. and Taylor, K.E., 2019. Quantifying the agreement between observed and simulated extratropical modes of interannual variability. Climate Dynamics, 52: 4057-4089, doi: 10.1007/s00382-018-4355-4.
Based on the work of Sperber and Annamalai (2014), we present skill metrics that indicate how well models simulate the onset, decay, and duration of monsoon based on the analysis of climatological pentads of precipitation. Using Historical simulations, the results are based on area-averaged data for All-India Rainfall (AIR), Sahel, Gulf of Guinea (GoG), North American Monsoon (NAM), South American Monsoon (SAM), and Northern Australia (AUS).
For a brief description of the results, please click here. For more detailed information see:
Sperber, K.R. and Annamalai, H., 2014. The use of fractional accumulated precipitation for the evaluation of the annual cycle of monsoons. Climate Dynamics, 43, 3219-3244, doi:10.1007/s00382-014-2099-3.
Based on the work of Ahn et al. (2017), we present skill metrics that indicate how well models simulate eastward propagation of the MJO. We apply frequency-wavenumber decomposition to precipitation from observations (GPCP-based; 1997-2010) and the CMIP5 and CMIP6 Historical simulations (1985-2004).
For a brief description of the results, please click here. For more detailed information see:
Ahn, M.-S., D. Kim, K. R. Sperber, I.-S. Kang, E. Maloney, D. Waliser, H. Hendon, 2017: MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis. Clim. Dynam., 49, 4023-4045. doi: 10.1007/s00382-017-3558-4.
Questions or comments about the PCMDI Simulation Summaries should be sent to the PMP team.
The work of PCMDI and results presented on this web page are supported by the Regional and Global Model Analysis (RGMA) program area under the Earth and Environmental System Modeling (EESM) program within the Earth and Environmental Systems Sciences Division (EESSD) of the United States Department of Energy’s (DOE) Office of Science (OSTI). The work of PCMDI is performed under the auspices of the U.S. DOE by Lawrence Livermore National Laboratory (LLNL) under contract DE-AC52-07NA27344. LLNL-WEB-812310.