Articles | Volume 11, issue 2
https://doi.org/10.5194/gmd-11-541-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-11-541-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
06 Feb 2018
Development and technical paper |
| 06 Feb 2018
Climate pattern-scaling set for an ensemble of 22 GCMs – adding uncertainty to the IMOGEN version 2.0 impact system
Przemyslaw Zelazowski
Oxford University Centre for the Environment, University of
Oxford, Oxford, OX1 3QY, UK
Centre of New Technologies, University of Warsaw, Warsaw,
02-097, Poland
Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Lina M. Mercado
Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Geography, College of Life and Environmental Sciences,
University of Exeter, Exeter, EX4 4RJ, UK
Nathalie Schaller
Oxford University Centre for the Environment, University of
Oxford, Oxford, OX1 3QY, UK
Center for International Climate Research (CICERO), Oslo, NO-0318,
Norway
Viewed
Total article views: 3,484 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Oct 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,127 | 1,243 | 114 | 3,484 | 709 | 107 | 133 |
- HTML: 2,127
- PDF: 1,243
- XML: 114
- Total: 3,484
- Supplement: 709
- BibTeX: 107
- EndNote: 133
Total article views: 2,749 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Feb 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,814 | 845 | 90 | 2,749 | 406 | 96 | 102 |
- HTML: 1,814
- PDF: 845
- XML: 90
- Total: 2,749
- Supplement: 406
- BibTeX: 96
- EndNote: 102
Total article views: 735 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Oct 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 313 | 398 | 24 | 735 | 303 | 11 | 31 |
- HTML: 313
- PDF: 398
- XML: 24
- Total: 735
- Supplement: 303
- BibTeX: 11
- EndNote: 31
Viewed (geographical distribution)
Total article views: 3,484 (including HTML, PDF, and XML)
Thereof 3,234 with geography defined
and 250 with unknown origin.
Total article views: 2,749 (including HTML, PDF, and XML)
Thereof 2,563 with geography defined
and 186 with unknown origin.
Total article views: 735 (including HTML, PDF, and XML)
Thereof 671 with geography defined
and 64 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Thawing Permafrost as a Nitrogen Fertiliser: Implications for Climate Feedbacks E. Burke et al. 10.3390/nitrogen3020023
- Nitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon stores C. Huntingford et al. 10.1088/1748-9326/ac6148
- Optimization Assessment of Projection Methods of Climate Change for Discrepancies between North and South China Y. Lun et al. 10.3390/w12113106
- Large-scale emulation of spatio-temporal variation in temperature under climate change X. Yuan et al. 10.1088/1748-9326/abd213
- Downscaling climate parameters in Fars province, using models of the fifth report and RCP scenarios M. Jahangir et al. 10.1016/j.ecoinf.2022.101558
- AIRCC-Clim: A user-friendly tool for generating regional probabilistic climate change scenarios and risk measures F. Estrada et al. 10.1016/j.envsoft.2022.105528
- A new precipitation emulator (PREMU v1.0) for lower-complexity models G. Liu et al. 10.5194/gmd-16-1277-2023
- How does the CMIP6 ensemble change the picture for European climate projections? T. Palmer et al. 10.1088/1748-9326/ac1ed9
- CHESS-SCAPE: high-resolution future projections of multiple climate scenarios for the United Kingdom derived from downscaled United Kingdom Climate Projections 2018 regional climate model output E. Robinson et al. 10.5194/essd-15-5371-2023
- A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. 10.1615/JMachLearnModelComput.2022046715
- Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia K. Alotaibi et al. 10.3390/w10091260
- Storyline description of Southern Hemisphere midlatitude circulation and precipitation response to greenhouse gas forcing J. Mindlin et al. 10.1007/s00382-020-05234-1
- Developing an efficient climate forecasting model for the spatiotemporal climate dynamics estimation and the prediction that fits the variable topography feature of the upper Blue Nile basin, Ethiopia M. Wondie et al. 10.1016/j.heliyon.2023.e22870
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
14 citations as recorded by crossref.
- Thawing Permafrost as a Nitrogen Fertiliser: Implications for Climate Feedbacks E. Burke et al. 10.3390/nitrogen3020023
- Nitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon stores C. Huntingford et al. 10.1088/1748-9326/ac6148
- Optimization Assessment of Projection Methods of Climate Change for Discrepancies between North and South China Y. Lun et al. 10.3390/w12113106
- Large-scale emulation of spatio-temporal variation in temperature under climate change X. Yuan et al. 10.1088/1748-9326/abd213
- Downscaling climate parameters in Fars province, using models of the fifth report and RCP scenarios M. Jahangir et al. 10.1016/j.ecoinf.2022.101558
- AIRCC-Clim: A user-friendly tool for generating regional probabilistic climate change scenarios and risk measures F. Estrada et al. 10.1016/j.envsoft.2022.105528
- A new precipitation emulator (PREMU v1.0) for lower-complexity models G. Liu et al. 10.5194/gmd-16-1277-2023
- How does the CMIP6 ensemble change the picture for European climate projections? T. Palmer et al. 10.1088/1748-9326/ac1ed9
- CHESS-SCAPE: high-resolution future projections of multiple climate scenarios for the United Kingdom derived from downscaled United Kingdom Climate Projections 2018 regional climate model output E. Robinson et al. 10.5194/essd-15-5371-2023
- A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. 10.1615/JMachLearnModelComput.2022046715
- Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia K. Alotaibi et al. 10.3390/w10091260
- Storyline description of Southern Hemisphere midlatitude circulation and precipitation response to greenhouse gas forcing J. Mindlin et al. 10.1007/s00382-020-05234-1
- Developing an efficient climate forecasting model for the spatiotemporal climate dynamics estimation and the prediction that fits the variable topography feature of the upper Blue Nile basin, Ethiopia M. Wondie et al. 10.1016/j.heliyon.2023.e22870
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
Latest update: 18 Apr 2024
Short summary
This paper describes the calibration of the IMOGEN (Integrated Model Of Global Effects of climatic aNomalies) impact modelling system against 22 global climate models (GCMs) in the CMIP3 database.
IMOGEN uses "pattern scaling" to emulate GCMs, and with such linearity enables projections to be made for alternative future scenarios of atmospheric greenhouse gas concentrations. It is also coupled to the JULES land surface model, to allow impact assessments.
IMOGEN uses "pattern scaling" to emulate GCMs, and with such linearity enables projections to be made for alternative future scenarios of atmospheric greenhouse gas concentrations. It is also coupled to the JULES land surface model, to allow impact assessments.
This paper describes the calibration of the IMOGEN (Integrated Model Of Global Effects of...
