Dataset
Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.14 (v20211001)
Abstract
Data for Figure 3.14 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 3.14 shows wet and dry region tropical mean (30°S-30°N) annual precipitation anomalies.
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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 four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.
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List of data provided
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The dataset contains timeseries (1988-2020) of annual precipitation anomalies from
- observation (GPCP)
- reanalysis (ERA5)
- multi-model mean (CMIP6)
GPCP is the Global Precipitation Climatology Project.
ERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
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Data provided in relation to figure
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- panel_a/AR6_WG1_Chap3_Figure3_14_panel_a_wetdry.csv (timeseries for wet regions)
- panel_b/AR6_WG1_Chap3_Figure3_14_panel_b_wetdry.csv (timeseries for dry regions)
- panel_c/AR6_WG1_Chap3_Figure3_14_panel_c_wetdry.csv (scaling factors for wet regions)
- panel_d/AR6_WG1_Chap3_Figure3_14_panel_d_wetdry.csv (scaling factors for dry regions)
Details on data provided in relation to each figure panel and its elements in the metadata associated to the corresponding files.
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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.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): 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. |
| Data lineage: |
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 Quality: |
Data as provided by the IPCC
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| File Format: |
Data are netCDF formatted.
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Related Documents
Citations: 22
The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.13 (v20211001). https://doi.org/10.5285/BA3AC68281B94C7B9963278681EE8EE5 https://doi.org/10.5285/ba3ac68281b94c7b9963278681ee8ee5 |
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.15 (v20211001). https://doi.org/10.5285/A6B79B1ABAC64D72A1A3F2FCF62EE81E https://doi.org/10.5285/a6b79b1abac64d72a1a3f2fcf62ee81e |
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.19 (v20211001). https://doi.org/10.5285/7493E7DD46854227BEB4F891A80A1016 https://doi.org/10.5285/7493e7dd46854227beb4f891a80a1016 |
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.23 (v20211001). https://doi.org/10.5285/44ADFC4F92834BD9950341DD24D6D2E0 https://doi.org/10.5285/44adfc4f92834bd9950341dd24d6d2e0 |
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.3 (v20211001). https://doi.org/10.5285/03CC44F98B0E4A4B97DF37662E62BE79 https://doi.org/10.5285/03cc44f98b0e4a4b97df37662e62be79 |
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.42 (v20211001). https://doi.org/10.5285/E3D21F98CC764D1185B0D6E662532831 https://doi.org/10.5285/e3d21f98cc764d1185b0d6e662532831 |
| Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.43 (v20211001). https://doi.org/10.5285/80C10F8AEB7049778C5A15EDE4917128 https://doi.org/10.5285/80c10f8aeb7049778c5a15ede4917128 |
| Bock, L. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.3, Figure 1 (v20220615). https://doi.org/10.5285/AFE80EB32A1C4164A3B84396C6D7A5D6 https://doi.org/10.5285/afe80eb32a1c4164a3b84396c6d7a5d6 |
| Cassou, C. & Bock, L. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.38 (v20220614). https://doi.org/10.5285/758419765D0F4926AA70002EC6C856B0 https://doi.org/10.5285/758419765d0f4926aa70002ec6c856b0 |
| De Mora, L. & Malinina, E. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.27 (v20220616). https://doi.org/10.5285/CEAE289F1A56414EA708F43DB83FC2C6 https://doi.org/10.5285/ceae289f1a56414ea708f43db83fc2c6 |
| De Mora, L. & Malinina, E. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.28 (v20220614). https://doi.org/10.5285/38512CD8209B4669A0743E9672F70A6E https://doi.org/10.5285/38512cd8209b4669a0743e9672f70a6e |
| Durack, P. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 3.28 (v20220621). https://doi.org/10.5285/F7C3F3CBF65447B9A43207DCC30219D9 https://doi.org/10.5285/f7c3f3cbf65447b9a43207dcc30219d9 |
| Gillett, N. & Malinina, E. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.7 (v20220613). https://doi.org/10.5285/392C8351349B4436923C102C558873D9 https://doi.org/10.5285/392c8351349b4436923c102c558873d9 |
| Gillett, N. & Malinina, E. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.8 (v20220613). https://doi.org/10.5285/BF3D0B8A8C0D4AE19CFD994B6FEF4A5C https://doi.org/10.5285/bf3d0b8a8c0d4ae19cfd994b6fef4a5c |
| Kageyama, M. & Malinina, E. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.44 (v20220615). https://doi.org/10.5285/D35AC1955C264DEEA9699D08DBC568F2 https://doi.org/10.5285/d35ac1955c264deea9699d08dbc568f2 |
| Kazeroni, R. & Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.18 (v20211001). https://doi.org/10.5285/84FD20B6E5A04271A007E2150EB17C7E https://doi.org/10.5285/84fd20b6e5a04271a007e2150eb17c7e |
| Li, C. & Hauser, M. (2021) Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.6 (v20210809). https://doi.org/10.5285/93D1B84FBB144901809EAF67B35EB5C4 https://doi.org/10.5285/93d1b84fbb144901809eaf67b35eb5c4 |
| Lo, E. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.10 (v20211001). https://doi.org/10.5285/CF006675070548359E22E36D354D0F92 https://doi.org/10.5285/cf006675070548359e22e36d354d0f92 |
| Malinina, E. & De Mora, L. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.24 (v20220614). https://doi.org/10.5285/A71383AF93AF4F58AE27D66BA15B3543 https://doi.org/10.5285/a71383af93af4f58ae27d66ba15b3543 |
| Malinina, E., Min, S.-K. & Kim, Y.-H. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.20 (v20220613). https://doi.org/10.5285/BECDAA43CF884C299435DC319E758F4E https://doi.org/10.5285/becdaa43cf884c299435dc319e758f4e |
| Malinina, E., Min, S.-K. & Kim, Y.-H. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.21 (v20220613). https://doi.org/10.5285/6F800CBDA88D424CBCC59181B8B85AAA https://doi.org/10.5285/6f800cbda88d424cbcc59181b8b85aaa |
| Weigel, K., Santer, B.D., Kazeroni, R. & Bock, L. (2021) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.12 (v20211001). https://doi.org/10.5285/7273023A04D24DA58EC5D83343CD861D https://doi.org/10.5285/7273023a04d24da58ec5d83343cd861d |
Process overview
| Title | Caption for Figure 3.14 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | Wet (a) and dry (b) region tropical mean (30°S–30°N) annual precipitation anomalies. Observed data are shown with black lines (GPCP), ERA5 reanalysis in grey, single model simulations results are shown with light blue/red lines (CMIP6), and multi-model-mean results are shown with dark blue/red lines (CMIP6). Wet and dry region annual anomalies are calculated as the running mean over 12 months relative to a 1988–2020 based period. The regions are defined as the wettest third and driest third of the surface area, calculated for the observations and for each model separately for each season (following Polson and Hegerl, 2017). Scaling factors (c, d) are calculated for the combination of the wet and dry region mean, where the observations, reanalysis and all the model simulations are first standardized using the mean standard deviation of the pre-industrial control simulations. Two total least squares regression methods are used: noise in variables (following Polson and Hegerl, 2017) which estimates a best estimate and a 5–95% confidence interval using the pre-industrial controls (circle and thick green line) and the pre-industrial controls with double the variance (thin green line); and a bootstrap method (DelSole et al., 2019) (5–95% confidence interval shown with a purple line and best estimate with a purple circle). Panel (c) shows results for GPCP and panel (d) for ERA5. Figure is adapted from Schurer et al. (2020). Further details on data sources and processing are available in the chapter data table (Table 3.SM.1). |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
No variables found.
Temporal Range
1988-01-01T12:00:00
2020-12-31T12:00:00
Geographic Extent
30.0000° |
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-180.0000° |
180.0000° |
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-30.0000° |