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Dataset

 

Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.7 (v20230210)

Update Frequency: Not Planned
Latest Data Update: 2023-02-17
Status: Ongoing
Online Status: ONLINE
Publication State: Citable
Publication Date: 2023-05-16
DOI Publication Date: 2023-07-03
Download Stats: last 12 months
Dataset Size: 41 Files | 41MB

Abstract

Input Data for Figure 6.7 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 6.7 shows distribution of PM2.5 composition mass concentration (in μg m-3) for the major PM2.5 aerosol components.

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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:
Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. 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. 817–922, doi:10.1017/9781009157896.008.

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Figure subpanels
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The figure has 9 panels with input data provided for all panels in subdirectories named Asia, Europe, North_America, SPARTAN and stations.

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List of data provided
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This dataset contains monthly averaged major PM2.5 aerosol component (sulphate, nitrate, ammonium, sodium, chloride, organic carbon and elemental carbon) measurements for the following regions:

- Latin American and Caribbean
- North America (rural)
- North America (urban)
- Europe
- Eurasia
- Eastern Asia
- Southern Asia
- South-East Asia and Developing Pacific
- Asia-Pacific Developed

Additionally, input file for separating the world in individual regions following the IPCC Sixth Assessment Report Working Group III (AR6 WGIII) is provided as AR6WG3_Atlas_IntermedRegions_1.0x1.0.nc

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Data provided in relation to figure
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Instructions in how to relate the input data with the figure in the 'Notes on reproducing the figure from the provided data' field.

PM2.5 stands for particulate matter in the air that are 2.5 micrometers or less in diameter.

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Notes on reproducing the figure from the provided data
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The data is used as input of the code (violin_regions.py and worldmap_AR6_nocoasts.py).

violin_regions.py: Python code that creates the regional violin subplots. The user needs to run the code for each subregion separately by activating the lines 6-17 accordingly.

worldmap_AR6_nocoasts.py: Python code that creates the world map in the center of the figure, including the location of the observational sites used.

Each of these scripts work independently. The nine individual plots produced by violin_regions.py can be collated with the map created by worldmap_AR6_nocoasts.py to produce the figure 6.7. A link to the code archived on Zenodo are provided in the Related Documents section of this catalogue record.

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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 6)
- Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3
- Link to code archived on Zenodo

Citable as:  Tsimpidi, A. (2023): Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.7 (v20230210). NERC EDS Centre for Environmental Data Analysis, 03 July 2023. doi:10.5285/c4031dd3227c4bceb6eae480d2a47a0c. https://dx.doi.org/10.5285/c4031dd3227c4bceb6eae480d2a47a0c
Abbreviation: Not defined
Keywords: IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, PM2.5, aerosol components, Chapter 6, Figure 6.7, short-lived climate forcers

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).

Data Quality:
Data as provided by the IPCC
File Format:
Data are netCDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title

Caption for Figure 6.7 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)

Abstract

Distribution of PM2.5 composition mass concentration (in μg m–3) for the major PM2.5 aerosol components. Those aerosol components are sulphate, nitrate, ammonium, sodium, chloride, organic carbon and elemental carbon. The central world map depicts the intermediate-level regional breakdown of observations (10 regions) following the IPCC Sixth Assessment Report Working Group III (AR6 WGIII). Monthly averaged PM2.5 aerosol component measurements are from: (i) the Environmental Protection Agency (EPA) network which include 211 monitor sites primarily in urban areas of North America during 2000–2018 (Solomon et al., 2014), (ii) the Interagency Monitoring of Protected Visual Environments (IMPROVE) network during 2000–2018 over 198 monitoring sites representative of the regional haze conditions over North America, (iii) the European Monitoring and Evaluation Programme (EMEP) network over 70 monitoring in Europe and (eastern) Eurasia during 2000–2018, (iv) the Acid Deposition Monitoring Network in Eastern Asia (EANET) network with 39 (18 remote, 10 rural, 11 urban) sites in Eurasia, Eastern Asia, South East Asia and Developing Pacific, and Asia-Pacific Developed during 2001–2017, (v) the global Surface Particulate Matter Network (SPARTAN) during 2013–2019 with sites primarily in highly populated regions around the world (i.e., North America, Latin America and Caribbean, Africa, Middle East, Southern Asia, Eastern Asia, South East Asia and Developing Pacific; Snider et al., 2015, 2016), and (vii) individual observational field campaign averages over Latin America and Caribbean, Africa, Europe, Eastern Asia, and Asia-Pacific Developed (Celis et al., 2004; Feng et al., 2006; Bourotte et al., 2007; Fuzzi et al., 2007; Mariani and de Mello, 2007; Molina et al., 2007, 2010; Favez et al., 2008; Mkoma, 2008; Aggarwal and Kawamura, 2009; Mkoma et al., 2009; de Souza et al., 2010; Li et al., 2010; Martin et al., 2010; Radhi et al., 2010; Weinstein et al., 2010; Batmunkh et al., 2011; Gioda et al., 2011; Pathak et al., 2011; F. Zhang et al., 2012; Cho and Park, 2013; Zhao et al., 2013; Wang et al., 2019; Kuzu et al., 2020). Further details on data sources and processing are available in the chapter data table (Table 6.SM.1).

Input Description

None

Output Description

None

Software Reference

None

  • var_id: T_TMP_bnds
  • var_id: X_TMP
  • var_id: ALT
  • long_name: alt
  • var_id: CODE
  • long_name: code
  • var_id: DATA
  • long_name: data
  • var_id: DATA_NUM
  • long_name: data_num
  • var_id: LAT
  • long_name: lat
  • var_id: LON
  • long_name: lon

Co-ordinate Variables

  • standard_name: time
  • units: days
  • var_id: T_TMP
Coverage
Temporal Range
Start time:
2000-01-01T12:00:00
End time:
2019-12-31T12:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°