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Dataset

 

Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.9 (v20220804)

Update Frequency: Not Planned
Latest Data Update: 2023-06-08
Status: Ongoing
Online Status: ONLINE
Publication State: Citable
Publication Date: 2023-06-19
DOI Publication Date: 2023-06-30
Download Stats: last 12 months
Dataset Size: 37 Files | 6MB

Abstract

Input Data for Figure 12.9 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 12.9 shows projected changes in selected climatic impact-driver indices for Europe.

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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:
Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. 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. 1767–1926, doi:10.1017/9781009157896.014.

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Figure subpanels
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The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).

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List of data provided
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This dataset contains:
- spatial field over Europe of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5
- spatial field of changes of number of days per year with snow water equivalent over 100mm (SWE100) from EURO-CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.
- the associated mask showing the areas with more than 80% of model agreement in the sign of change
- regional averages in Europe of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:
   - CMIP6 historical, ssp126 and ssp585
   - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5
   - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods
   - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C
- regional averages of number of days per year with snow water equivalent over 100mm (SWE100) in Europe for:
   - CMIP6 historical, ssp126 and ssp585
   - CMIP5 and EURO-CORDEX historical, RCP2.6 and RCP8.5
   - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods
   - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C
The grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.

NEU, WCE and MED are domains used in the model.

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Data provided in relation to figure
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Data provided in relation to Figure 12.9:

Panel a:
- Q100_map_panel_a_EUR_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2014 (recent past) for CORDEX RCP8.5;  the file contains the data for the regions from the EUR CORDEX domain

Panel b:
- SWE_panel_b_RCP85_mce_minus_baseline.nc: spatial field (colors) of changes of number of days per year with snow water equivalent over 100mm (SWE100) from EURO-CORDEX models for 2041-2060 relative to 1995-2014 for RCP8; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero
- mask_80perc-agreement_SWE_panel_b_RCP85_mce_minus_baseline.nc: spatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: 1 where true, 0 where false

Panel c:
- txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:
    - ${ensemble}: CMIP5, CMIP6 or CORDEX-core
    - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85
    - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)
    - ${CORDEX_domain}: the CORDEX domain
- txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:
    - ${ensemble}: CMIP5, CMIP6 or CORDEX-core
    - ${GWL}: the Global Warming Level: 1.5, 2 or 4
    - ${CORDEX_domain}: the CORDEX domain

Panel d:
- CMIP5_EUR-11_snw_mask14_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in Europe for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2099) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)
- EURO-CORDEX_SWE_mask14_AR6_regional_averages.json: same as previous file for the EURO-CORDEX multimodel ensemble
- CMIP6_EUR-11_snw_mask14_AR6_regional_averages.json: same as previous file for CMIP6 (ssp126 instead of RCP2.6 and ssp585 instead of RCP8.5)

CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.

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

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

SSP stands for Shared Socioeconomic Pathway.

SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.

SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.

RCP stands for Representative Concentration Pathway.

RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.

RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.

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Notes on reproducing the figure from the provided data
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For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).

For panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).

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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 figure on the IPCC AR6 website
- Link to the report component containing the figure (Chapter 12)
- Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1
- Link to the code for the figure, archived on Zenodo.

Citable as:  Servonnat, J.; Iles, C.; Di Sante, F. (2023): Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.9 (v20220804). NERC EDS Centre for Environmental Data Analysis, 30 June 2023. doi:10.5285/7c2c37c3c5d14aac87377c7673e35a0b. https://dx.doi.org/10.5285/7c2c37c3c5d14aac87377c7673e35a0b
Abbreviation: Not defined
Keywords: IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Europe, regional, river discharge, extreme, snow water equivalent, CMIP6, CMIP5, EURO-CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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 curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).

Data Quality:
Data as provided by the IPCC
File Format:
NetCDF, CSV, json, txt

Process overview

This dataset was generated by the computation detailed below.
Title

Caption for Figure 12.9 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)

Abstract

Projected changes in selected climatic impact-driver indices for Europe. (a) Mean change in 1-in-100-year river discharge per unit catchment area (Q100, m3 s–1 km–2), and (b) median change in the number of days with snow water equivalent (SWE) over 100 mm (from November to March), from EURO-CORDEX models for 2041–2060 relative to 1995–2014 and RCP8.5. Diagonal lines indicate where less than 80% of models agree on the sign (direction )of change. (c) Bar plots for Q100 (m3 s–1 km–2) averaged over land areas for the AR6 WGI Reference Regions (defined in Chapter 1). The left-hand column within each panel (associated with the left-hand y-axis) shows the ‘recent past’ (1995–2014) Q100 absolute values in grey shades. The other columns (associated with the right-hand y-axis) show the Q100 changes relative to the recent past values for two time periods (‘mid’ 2041–2060 and ‘long’ 2081–2100) and for three global warming levels (defined relative to the pre-industrial period 1850–1900): 1.5°C (purple), 2°C (yellow) and 4°C (brown). The bars show the median (dots) and the 10–90th percentile range of model ensemble values across each model ensemble. CMIP6 is shown by the darkest colours, CMIP5 by medium, and CORDEX by light. SSP5-8.5/RCP8.5 is shown in red and SSP1-2.6/RCP2.6 in blue. (d) As for (c) but showing absolute values for number of days with SWE > 100mm, masked to grid cells with at least 14 such days in the recent past. See Technical Annex VI for details of indices. Further details on data sources and processing are available in the chapter data table (Table 12.SM.1).

Input Description

None

Output Description

None

Software Reference

None

  • units: m3 s-1
  • long_name: Peak discharge
  • var_id: QRP
  • names: Peak discharge
  • units: years
  • long_name: Return Period
  • var_id: RP
  • names: Return Period
  • units: kg m-2
  • standard_name: surface_snow_amount
  • var_id: snw
  • long_name: Surface Snow Amount
  • names: surface_snow_amount, Surface Snow Amount
  • units: m
  • standard_name: height
  • var_id: height
  • long_name: height
  • names: height
  • var_id: lsmmask
  • var_id: time_bnds

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: Latitude
  • names: latitude, Latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: Longitude
  • names: longitude, Longitude
  • units: degrees_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • names: longitude
  • standard_name: time
  • var_id: time
  • units: day as %Y%m%d.%f
  • names: time
Coverage
Temporal Range
Start time:
1995-01-01T12:00:00
End time:
2100-12-31T12:00:00
Geographic Extent

 
75.0000°
 
-15.0000°
 
65.0000°
 
25.0000°