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Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.39 (v20220614)

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

Simple

Date (Publication)
2022-06-27T10:42:19
Date (Creation)
2022-06-27T10:42:19
Identifier
https://catalogue.ceda.ac.uk/uuid/02006a22c33b42039d96be53d332930a
Identifier
NERC EDS Centre for Environmental Data Analysis / 02006a22c33b42039d96be53d332930a
Identifier
doi / 10.5285/02006a22c33b42039d96be53d332930a
Author
  Unavailable - Phillips, Adam ( author )
Author
  Unavailable - Kosaka, Yu ( author )
Author
  Unavailable - Cassou, Christophe ( author )
Author
  Unavailable - Kazeroni, Rémi ( author )
Custodian
  NERC EDS Centre for Environmental Data Analysis - custodian
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Distributor
  NERC EDS Centre for Environmental Data Analysis - distributor
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
pointofContact
  NERC EDS Centre for Environmental Data Analysis - point_of_contact
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Publisher
  NERC EDS Centre for Environmental Data Analysis - publisher
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Maintenance and update frequency
notPlanned Not planned
Update scope
dataset Dataset
Keywords
  • IPCC-DDC
  • IPCC
  • AR6
  • WG1
  • WGI
  • Sixth Assessment Report
  • Working Group 1
  • Physical Science Basis
  • ENSO teleconnections
GEMET - INSPIRE themes, version 1.0
  • atmospheric conditions
Access constraints
otherRestrictions Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
otherRestrictions Other restrictions
Other constraints
Under the following licence http://creativecommons.org/licenses/by/4.0/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
grid Grid
Metadata language
EnglishEnglish
Topic category
  • Climatology, meteorology, atmosphere
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Begin date
1900-01-01T12:00:00
End date
2014-12-31T12:00:00
Unique resource identifier
WGS 84
Distribution format
  • Data are netCDF formatted ()

Distributor
  NERC EDS Centre for Environmental Data Analysis - Data Center Contact
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
OnLine resource
CEDA Data Catalogue Page

Detail and access information for the resource

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DOWNLOAD

Download Data

OnLine resource
CODE FOR FIGURE (archived at Zenodo)

No further details.

OnLine resource
ORIGIN OF FIGURE (IPCC REPORT CHAPTER): 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

No further details.

OnLine resource
SUPPLEMENTARY MATERIAL FOR REPORT CHAPTER: 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 Supplementary Material. 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

No further details.

OnLine resource
Link to the figure

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OnLine resource
Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure 3.39, Zenodo. https://doi.org/10.5281/zenodo.14986393

No further details.

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dataset Dataset

Conformance result

Date (Publication)
2010-12-08
Statement

Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).

Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).

File identifier
02006a22c33b42039d96be53d332930a XML
Metadata language
EnglishEnglish
Character set
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
Parent identifier
IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system 932c79b1f7cd4f34b7c542f316f39c17
Hierarchy level
dataset Dataset
Date stamp
2025-11-15T03:24:37
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Centre for Environmental Data Analysis
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
 
 

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Keywords

GEMET - INSPIRE themes, version 1.0
atmospheric conditions

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