678ee967fe114a34a6d1f7d50e4aa7ee
English
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
932c79b1f7cd4f34b7c542f316f39c17
dataset
NERC EDS Centre for Environmental Data Analysis
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointOfContact
2024-03-28T14:44:23
UK GEMINI
2.3
WGS 84
Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.34 (v20220104)
2022-05-09T17:30:32
publication
2022-05-09T17:30:32
creation
http://catalogue.ceda.ac.uk/uuid/678ee967fe114a34a6d1f7d50e4aa7ee
678ee967fe114a34a6d1f7d50e4aa7ee
NERC EDS Centre for Environmental Data Analysis
10.5285/678ee967fe114a34a6d1f7d50e4aa7ee
doi
Data for Figure 3.34 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 3.34 shows attribution of observed seasonal trends in the annular modes to forcings.
---------------------------------------------------
How to cite this dataset
---------------------------------------------------
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.
---------------------------------------------------
Figure subpanels
---------------------------------------------------
The figure has 3 panels, and all the data are provided in a single file named NAM_SAM_detection_attribution.nc.
---------------------------------------------------
List of data provided
---------------------------------------------------
This dataset contains
- Observed and simulated DJF NAM trends for 1958-2019
- Observed and simulated JJA NAM trends for 1958-2019
- Observed and simulated DJF SAM trends for 1979-2019
- Observed and simulated JJA SAM trends for 1979-2019
- Observed and simulated DJF SAM trends for 2000-2019
- Observed and simulated JJA SAM trends for 2000-2019
Simulations are from CMIP6 historical, hist-GHG, hist-aer, hist-nat, and hist-stratO3 simulations, and from equivalent time segments from CMIP6 piControl simulations (one segment from one model).
NAM: Northern Annular Mode
SAM: Southern Annular Mode
GHG: greenhouse gas
JJA: June, July, August
DJF: December, January, February
---------------------------------------------------
Data provided in relation to figure
---------------------------------------------------
Panel a:
- NAM_obs_DJF_1958_2019: grey horizontal lines in the left
-->ERA5: obs_dataset = 0\n
-->JRA-55: obs_dataset = 1\n
- NAM_piControl_DJF_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left
- NAM_hist_DJF_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left
- NAM_GHG_DJF_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left
- NAM_aer_DJF_1958_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left
- NAM_stratO3_DJF_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left
- NAM_nat_DJF_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left
- NAM_obs_JJA_1958_2019: grey horizontal lines in the right
-->ERA5: obs_dataset = 0\n
-->JRA-55: obs_dataset = 1\n
- NAM_piControl_JJA_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right
- NAM_hist_JJA_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right
- NAM_GHG_JJA_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right
- NAM_aer_JJA_1958_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right
- NAM_stratO3_JJA_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right
- NAM_nat_JJA_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right
Panel b:
- SAM_obs_DJF_1979_2019: grey horizontal lines in the left
-->ERA5: obs_dataset = 0\n
-->JRA-55: obs_dataset = 1\n
- SAM_piControl_DJF_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left
- SAM_hist_DJF_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left
- SAM_GHG_DJF_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left
- SAM_aer_DJF_1979_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left
- SAM_stratO3_DJF_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left
- SAM_nat_DJF_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left
- SAM_obs_JJA_1979_2019: grey horizontal lines in the right
-->ERA5: obs_dataset = 0\n
-->JRA-55: obs_dataset = 1\n
- SAM_piControl_JJA_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right
- SAM_hist_JJA_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right
- SAM_GHG_JJA_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right
- SAM_aer_JJA_1979_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right
- SAM_stratO3_JJA_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right
- SAM_nat_JJA_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right
Panel c:
- SAM_obs_DJF_2000_2019: grey horizontal lines in the left
-->ERA5: obs_dataset = 0\n
-->JRA-55: obs_dataset = 1\n
- SAM_piControl_DJF_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left
- SAM_hist_DJF_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left
- SAM_GHG_DJF_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left
- SAM_aer_DJF_2000_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left
- SAM_stratO3_DJF_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left
- SAM_nat_DJF_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left
- SAM_obs_JJA_2000_2019: grey horizontal lines in the right
-->ERA5: obs_dataset = 0\n
-->JRA-55: obs_dataset = 1\n
- SAM_piControl_JJA_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right
- SAM_hist_JJA_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right
- SAM_GHG_JJA_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right
- SAM_aer_JJA_2000_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right
- SAM_stratO3_JJA_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right
- SAM_nat_JJA_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right
---------------------------------------------------
Notes on reproducing the figure from the provided data
---------------------------------------------------
Multimodel ensemble means, interquartile ranges and 5th and 95th percentiles of historical and hist-* simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is given as the weight attribute of each variable. The weighting is not applied to piControl simulations.
Filled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. ensemble_assign attribute in each variable provides the model number to which each ensemble member belongs. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic.
---------------------------------------------------
Sources of additional information
---------------------------------------------------
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 supporting information on the figure in Section and 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
Phillips, Adam
Unavailable
author
Unavailable
author
Kosaka, Yu
Unavailable
author
Unavailable
author
Cassou, Christophe
Unavailable
author
Unavailable
author
Bock, Lisa
Unavailable
author
Unavailable
author
NERC EDS Centre for Environmental Data Analysis
custodian
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
custodian
NERC EDS Centre for Environmental Data Analysis
distributor
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
NERC EDS Centre for Environmental Data Analysis
point_of_contact
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointofContact
NERC EDS Centre for Environmental Data Analysis
publisher
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
publisher
notPlanned
dataset
IPCC-DDC
IPCC
AR6
WG1
WGI
Sixth Assessment Report
Working Group I
Physical Science Basis
Chapter 3
Human influence
large-scale indicators
Natural variability
anthropogenically-forced change
observed changes
Figure 3.17
Global monsoon domain
monsoon precipitation
monsoon circulation
global land monsoon precipitation
Northern Hemisphere summer monsoon circulation index
CMIP5
CMIP6
AMIP
Figure 3.34
Annular Modes
NAM
SAM
modes of variability
CMIP6
DAMIP
detection and attribution
atmospheric conditions
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
Public data: access to these data is available to both registered and non-registered users.
otherRestrictions
Use of these data is covered by the following licence: http://creativecommons.org/licenses/by/4.0/ . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
grid
English
climatologyMeteorologyAtmosphere
-180.0
180.0
-90.0
90.0
1958-01-01T12:00:00
2019-12-31T12:00:00
txt, netCDF
NERC EDS Centre for Environmental Data Analysis
Data Center Contact
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
http://catalogue.ceda.ac.uk/uuid/678ee967fe114a34a6d1f7d50e4aa7ee
CEDA Data Catalogue Page
Detail and access information for the resource
information
http://data.ceda.ac.uk/badc/ar6_wg1/data/ch_03/ch3_fig34/v20220404
DOWNLOAD
Download Data
download
https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter03.pdf
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.
information
https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_03_Supplementary_Material.pdf
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.
information
https://doi.org/10.5281/zenodo.6656792
CODE FOR FIGURE (archived at Zenodo)
No further details.
information
https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-34
Link to the figure
No further details.
information
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
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).