Data for Figure 3.39 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 3.39 shows the observed and simulated Pacific Decadal Variability (PDV).

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How to cite this dataset

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When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:

Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.

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Figure subpanels

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The figure has six panels. Files are not separated according to the panels.

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List of data provided

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pdv.obs.nc contains

- Observed SST anomalies associated with the PDV pattern

- Observed PDV index time series (unfiltered)

- Observed PDV index time series (low-pass filtered)

- Taylor statistics of the observed PDV patterns

- Statistical significance of the observed SST anomalies associated with the PDV pattern

pdv.hist.cmip6.nc contains

- Simulated SST anomalies associated with the PDV pattern

- Simulated PDV index time series (unfiltered)

- Simulated PDV index time series (low-pass filtered)

- Taylor statistics of the simulated PDV patterns

based on CMIP6 historical simulations.

pdv.hist.cmip5.nc contains

- Simulated SST anomalies associated with the PDV pattern

- Simulated PDV index time series (unfiltered)

- Simulated PDV index time series (low-pass filtered)

- Taylor statistics of the simulated PDV patterns

based on CMIP5 historical simulations.

pdv.piControl.cmip6.nc contains

- Simulated SST anomalies associated with the PDV pattern

- Simulated PDV index time series (unfiltered)

- Simulated PDV index time series (low-pass filtered)

- Taylor statistics of the simulated PDV patterns

based on CMIP6 piControl simulations.

pdv.piControl.cmip5.nc contains

- Simulated SST anomalies associated with the PDV pattern

- Simulated PDV index time series (unfiltered)

- Simulated PDV index time series (low-pass filtered)

- Taylor statistics of the simulated PDV patterns

based on CMIP5 piControl simulations.

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Data provided in relation to figure

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Panel a:

- ipo_pattern_obs_ref in pdv.obs.nc: shading

- ipo_pattern_obs_signif (dataset = 1) in pdv.obs.nc: cross markers

Panel b:

- Multimodel ensemble mean of ipo_model_pattern in pdv.hist.cmip6.nc: shading, with their sign agreement for hatching

Panel c:

- tay_stats (stat = 0, 1) in pdv.obs.nc: black dots

- tay_stats (stat = 0, 1) in pdv.hist.cmip6.nc: red crosses, and their multimodel ensemble mean for the red dot

- tay_stats (stat = 0, 1) in pdv.hist.cmip5.nc: blue crosses, and their multimodel ensemble mean for the blue dot

Panel d:

- Lag-1 autocorrelation of tpi in pdv.obs.nc: black horizontal lines in left

. ERSSTv5: dataset = 1

. HadISST: dataset = 2

. COBE-SST2: dataset = 3

- Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.piControl.cmip5.nc: blue open box-whisker in the left

- Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.piControl.cmip6.nc: red open box-whisker in the left

- Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.hist.cmip5.nc: blue filled box-whisker in the left

- Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.hist.cmip6.nc: red filled box-whisker in the left

- Lag-10 autocorrelation of tpi_lp in pdv.obs.nc: black horizontal lines in right

. ERSSTv5: dataset = 1

. HadISST: dataset = 2

. COBE-SST2: dataset = 3

- Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.piControl.cmip5.nc: blue open box-whisker in the right

- Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.piControl.cmip6.nc: red open box-whisker in the right

- Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.hist.cmip5.nc: blue filled box-whisker in the right

- Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.hist.cmip6.nc: red filled box-whisker in the right

Panel e:

- Standard deviation of tpi in pdv.obs.nc: black horizontal lines in left

. ERSSTv5: dataset = 1

. HadISST: dataset = 2

. COBE-SST2: dataset = 3

- Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.piControl.cmip5.nc: blue open box-whisker in the left

- Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.piControl.cmip6.nc: red open box-whisker in the left

- Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.hist.cmip5.nc: blue filled box-whisker in the left

- Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.hist.cmip6.nc: red filled box-whisker in the left

- Standard deviation of tpi_lp in pdv.obs.nc: black horizontal lines in right

. ERSSTv5: dataset = 1

. HadISST: dataset = 2

. COBE-SST2: dataset = 3

- Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.piControl.cmip5.nc: blue open box-whisker in the right

- Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.piControl.cmip6.nc: red open box-whisker in the right

- Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.hist.cmip5.nc: blue filled box-whisker in the right

- Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.hist.cmip6.nc: red filled box-whisker in the right

Panel f:

- tpi_lp in pdv.obs.nc: black curves

. ERSSTv5: dataset = 1

. HadISST: dataset = 2

. COBE-SST2: dataset = 3

- tpi_lp in pdv.hist.cmip6.nc: 5th-95th percentiles in red shading, multimodel ensemble mean and its 5-95% confidence interval for red curves

- tpi_lp in pdv.hist.cmip5.nc: 5th-95th percentiles in blue shading, multimodel ensemble mean for blue curve

CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.

CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.

SST stands for Sea Surface Temperature.

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Notes on reproducing the figure from the provided data

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Multimodel ensemble means and percentiles of historical simulations of CMIP5 and CMIP6 are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.

piControl simulations from CMIP5 and CMIP6 consist of a single member from each model, so the weighting is not applied.

Multimodel ensemble means of the pattern correlation in Taylor statistics in (c) and the autocorrelation of the index in (d) are calculated via Fisher z-transformation and back transformation.

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Sources of additional information

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The following weblinks are provided in the Related Documents section of this catalogue record:

- Link to the report component containing the figure (Chapter 3)

- Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1

- Link to the code for the figure, archived on Zenodo

- Link to the figure on the IPCC AR6 website