The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
Open accessAbstract
Emissions into the atmosphere from human activities show marked temporal variations, from inter-annual to hourly levels. The consolidated practice of calculating yearly emissions follows the same temporal allocation of the underlying annual statistics. However, yearly emissions might not reflect heavy pollution episodes, seasonal trends, or any time-dependant atmospheric process. This study develops high-time resolution profiles for air pollutants and greenhouse gases co- emitted by anthropogenic sources in support of atmospheric modelling, Earth observation communities and decision makers. The key novelties of the Emissions Database for Global Atmospheric Research (EDGAR) temporal profiles are the development of (i) country/region- and sector- specific yearly profiles for all sources, (ii) time dependent yearly profiles for sources with inter-annual variability of their seasonal pattern, (iii) country- specific weekly and daily profiles to represent hourly emissions, (iv) a flexible system to compute hourly emissions including input from different users. This work creates a harmonized emission temporal distribution to be applied to any emission database as input for atmospheric models, thus promoting homogeneity in inter-comparison exercises.
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Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., et al. (2018) · Geoscientific Model Development · doi:10.5194/gmd-11-369-2018 · Cited by 2,203
Self-citationLe Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Hauck, J., Pongratz, J., Pickers, P. A., Korsbakken, J. I., Peters, G. P., Canadell, J. G., et al. (2018) · Earth System Science Data · doi:10.5194/essd-10-2141-2018 · Cited by 1,645
Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2
Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., van Aardenne, J. A., Monni, S., Doering, U., Olivier, J. G. J., Pagliari, V., et al. (2018) · Earth System Science Data · doi:10.5194/essd-10-1987-2018 · Cited by 889
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Cited by
Jones, M. W., Peters, G. P., Gasser, T., Andrew, R. M., Schwingshackl, C., Gütschow, J., Houghton, R. A., Friedlingstein, P., Pongratz, J., & Le Quéré, C. (2023) · Scientific Data · doi:10.1038/s41597-023-02041-1 · Cited by 518
A proposed global layout of carbon capture and storage in line with a 2 °C climate target
Wei, Y.-M., Kang, J.-N., Liu, L.-C., Li, Q., Wang, P.-T., Hou, J.-J., Liang, Q.-M., Liao, H., Huang, S.-F., & Yu, B. (2021) · Nature Climate Change · doi:10.1038/s41558-020-00960-0 · Cited by 444
Prasad, R., Gupta, S. K., Shabnam, N., Oliveira, C. Y. B., Nema, A. K., Ansari, F. A., & Bux, F. (2021) · Sustainability · doi:10.3390/su132313061 · Cited by 239
Opportunistic experiments to constrain aerosol effective radiative forcing
Christensen, M. W., Gettelman, A., Cermak, J., Dagan, G., Diamond, M., Douglas, A., Feingold, G., Glassmeier, F., Goren, T., Grosvenor, D. P., et al. (2022) · Atmospheric Chemistry and Physics · doi:10.5194/acp-22-641-2022 · Cited by 138
Can cropland management practices lower net greenhouse emissions without compromising yield?
Shang, Z., Abdalla, M., Xia, L., Zhou, F., Sun, W., & Smith, P. (2021) · Global Change Biology · doi:10.1111/gcb.15796 · Cited by 142
Metadata
- Authors
- Crippa, M., Solazzo, E., Huang, G., Guizzardi, D., Koffi, E., Muntean, M., Schieberle, C., Friedrich, R., & Janssens-Maenhout, G.
- Venue
- Scientific Data
- Published
- 2020-04-17
- Volume
- 7
- Issue
- 1
- Pages
- 121-121
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W3015685167
- Cited by
- 743
- References
- 3
- Type
- data paper
- Language
- en
- Open access
- gold
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- Crippa, M., Solazzo, E., Huang, G., Guizzardi, D., Koffi, E., Muntean, M., Schieberle, C., Friedrich, R., & Janssens-Maenhout, G. (2020). High resolution temporal profiles in the Emissions Database for Global Atmospheric Research. Scientific Data. https://doi.org/10.1038/s41597-020-0462-2
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
