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Dataset

 

Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 10.4 Figure 1 (v20220622)

Update Frequency: Not Planned
Latest Data Update: 2022-06-22
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-06-29
DOI Publication Date: 2023-05-17
Download Stats: last 12 months
Dataset Size: 11 Files | 390KB

Abstract

Data for CCB 10.4 Figure 1 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

CCB10.4 Figure 1 shows historical annual-mean surface air temperature linear trend (°C per decade) and its attribution over the Hindu Kush Himalaya (HKH) region.

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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:
Doblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. 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. 1363–1512, doi:10.1017/9781009157896.012.

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Figure subpanels
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The figure has four subpanels. Data for all subpanels is provided.

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List of data provided
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The data is annual means for:

- Observed and modelled trends over 1961-2014
- Anomalies 1961-2014 with respect to 1961-1980 average for the HKH region mean
- Trends 1961-2014 for the HKH region mean

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Data provided in relation to figure
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Panel (a):
- Data files:
Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_BerkeleyEarth_single_trend.nc,
Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_CRU_single_trend.nc,
Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_APHRO-MA_single_trend.nc,
Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_JRA-55_single_trend.nc;
Observed and reanalysis surface air temperature OLS linear trends over 1961-2014 over the HKH region, from left to right Berkeley Earth, CRU TS, APHRO-MA, JRA-55

Panel (b):
- Data files:
Fig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_min_single-MultiModelMean_trend-min-median-max.nc,
Fig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_MultiModelMedian_single-MultiModelMean_trend-min-median-max.nc,
Fig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_max_single-MultiModelMean_trend-min-median-max.nc;
Modelled surface air temperature OLS linear trends over 1961-2014 over the Hindu Kush Himalaya region, from left to right (CMIP6 models with min (coldest), median and max (warmest) trends)

Panel (c):
- Data file: Fig_10_CCB-4_1_panel-c_timeseries.csv;
Surface air temperature anomalies 1961-2014 in respect to 1961-1980 average for the Hindu Kush Himalaya (HKH) region mean: means of CMIP6 hist all-forcings (red), and the CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), for hist-aer (grey) and hist-GHG (pale blue), Berkeley Earth (dark blue), CRU TS (brown), APHRO-MA (light green) and JRA-55 (dark green).

Panel (d):
- Data file: Fig_10_CCB-4_1_panel-d_trends.csv;
Surface air temperature OLS linear trends 1961-2014 for the Hindu Kush Himalaya (HKH) region mean: observed and reanalysis data (Berkeley Earth, CRU TS, APHRO-MA, JRA-55: black crosses), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading)

Acronyms:
CRU TS- Climatic Research Unit Time Series,
CMIP - Coupled Model Intercomparison Project,
JRA - Japanese 55year Reanalysis,
DAMIP - Detection and Attribution Model Intercomparison Project,
GHG - Greenhouse Gas,
SMILEs - Single model initial-condition large ensembles,
MIROC - Model for Interdisciplinary Research on Climate,
CSIRO -Commonwealth Scientific and Industrial Research Organisation,
MPI - Max-Planck-Institut für Meteorologie,
ESM - Earth System Model, d4PDF - database for policy decision-making for future climate changes,
OLS - ordinary least squares regression.

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Notes on reproducing the figure from the provided data
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The code for ESMValTool is provided.

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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 10)
- Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11
- Link to the code for the figure, archived on Zenodo.

Citable as:  Jury, M.; Turner, A.; Zuo, Z. (2023): Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 10.4 Figure 1 (v20220622). NERC EDS Centre for Environmental Data Analysis, 17 May 2023. doi:10.5285/e4416a7d02ed4eeb9a971a7d3c2f4e42. https://dx.doi.org/10.5285/e4416a7d02ed4eeb9a971a7d3c2f4e42
Abbreviation: Not defined
Keywords: IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure BBB 10.4.1, surface air temperature, Hindu Kush Himalaya, historical period

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: 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).

File Format:
txt, netCDF, csv

Process overview

This dataset was generated by the computation detailed below.
Title

Caption for CCB 10.4 Figure 1 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)

Abstract

Historical annual-mean surface air temperature linear trend (°C per decade) and its attribution over the Hindu Kush Himalaya (HKH) region. (a) Observed trends from Berkeley Earth (also showing the HKH outline), CRU TS (also showing the AR6 Tibetan Plateau (TIB) outline, for ease of comparison to the Interactive Atlas), APHRO-MA and JRA-55 datasets over 1961–2014. (b) Models showing the coldest, median and warmest HKH temperature linear trends among the CMIP6 historical ensemble over 1961–2014. (c) Low-pass-filtered time series of annual-mean surface air temperature anomalies (°C, baseline 1961–1980) over the HKH region as outlined in panel (a), showing means of CMIP6 hist all-forcings (red), and the CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), for hist-aer (grey) and hist-GHG (pale blue). Observed datasets are Berkeley Earth (dark blue), CRU (brown), APHRO-MA (light green) and JRA-55 (dark green). The filter is the same as that used in Figure 10.10. (d) Distribution of annual mean surface air temperature trends (°C per decade) over the HKH region from 1961 to 2014 for ensemble means, the aforementioned observed and reanalysis data (black crosses), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs used throughout Chapter 10 (grey shading). Ensemble means are also shown. All trends are estimated using ordinary least-squares regression and box-and-whisker plots follow the methodology used in Figure 10.6. Further details on data sources and processing are available in the chapter data table (Table 10.SM.11).

Input Description

None

Output Description

None

Software Reference

None

  • standard_name: air_temperature
  • var_id: tas
  • units: degC
  • long_name: Near-Surface Air Temperature
  • units: m
  • standard_name: height
  • var_id: height
  • long_name: height
  • var_id: lat_bnds
  • var_id: lon_bnds
  • var_id: time_bnds
  • units: 1
  • long_name: year
  • var_id: year
  • var_id: year_bnds

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: Latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: Longitude
  • standard_name: time
  • var_id: time
  • long_name: Time
  • units: days
  • units: degrees_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: latitude coordinate
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: longitude coordinate
  • long_name: time
  • standard_name: time
  • var_id: time
  • units: days
Coverage
Temporal Range
Start time:
1961-01-01T12:00:00
End time:
2014-12-31T12:00:00
Geographic Extent

 
45.0000°
 
60.0000°
 
110.0000°
 
15.0000°