Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1477-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1477-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
12 Apr 2019
Model description paper |
| 12 Apr 2019
| 12 Apr 2019
Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models
Pacific Northwest National Laboratory, Joint Global Change
Research Institute, 5825 University Research Ct., College Park, MD, USA
Abigail Snyder
Pacific Northwest National Laboratory, Joint Global Change
Research Institute, 5825 University Research Ct., College Park, MD, USA
Cary Lynch
Connecticut Department of Energy and Environmental
Protection, 10 Franklin Square, New Britain, CT, USA
Corinne Hartin
Pacific Northwest National Laboratory, Joint Global Change
Research Institute, 5825 University Research Ct., College Park, MD, USA
Ben Kravitz
Department of Earth and Atmospheric Sciences, Indiana
University, 1001 E. 10th St., Bloomington, IN, USA
Atmospheric Sciences and Global Change Division, Pacific
Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, USA
Ben Bond-Lamberty
Pacific Northwest National Laboratory, Joint Global Change
Research Institute, 5825 University Research Ct., College Park, MD, USA
Viewed
Total article views: 3,269 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,143 | 1,054 | 72 | 3,269 | 90 | 77 |
- HTML: 2,143
- PDF: 1,054
- XML: 72
- Total: 3,269
- BibTeX: 90
- EndNote: 77
Total article views: 2,129 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,429 | 646 | 54 | 2,129 | 71 | 59 |
- HTML: 1,429
- PDF: 646
- XML: 54
- Total: 2,129
- BibTeX: 71
- EndNote: 59
Total article views: 1,140 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 714 | 408 | 18 | 1,140 | 19 | 18 |
- HTML: 714
- PDF: 408
- XML: 18
- Total: 1,140
- BibTeX: 19
- EndNote: 18
Viewed (geographical distribution)
Total article views: 3,269 (including HTML, PDF, and XML)
Thereof 2,894 with geography defined
and 375 with unknown origin.
Total article views: 2,129 (including HTML, PDF, and XML)
Thereof 1,822 with geography defined
and 307 with unknown origin.
Total article views: 1,140 (including HTML, PDF, and XML)
Thereof 1,072 with geography defined
and 68 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
16 citations as recorded by crossref.
- Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Y. Boulaguiem et al. 10.1017/eds.2022.4
- TIMBER v0.1: a conceptual framework for emulating temperature responses to tree cover change S. Nath et al. 10.5194/gmd-16-4283-2023
- STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. 10.5194/esd-13-1557-2022
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. 10.5194/esd-14-1333-2023
- MESMER-M: an Earth system model emulator for spatially resolved monthly temperature S. Nath et al. 10.5194/esd-13-851-2022
- The Value of Initial Condition Large Ensembles to Robust Adaptation Decision‐Making J. Mankin et al. 10.1029/2020EF001610
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
- 100 years of data is not enough to establish reliable drought thresholds R. Link et al. 10.1016/j.hydroa.2020.100052
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
- Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models S. Muruganandham et al. 10.1109/MCSE.2023.3300908
- Emulating climate extreme indices C. Tebaldi et al. 10.1088/1748-9326/ab8332
- Large-scale emulation of spatio-temporal variation in temperature under climate change X. Yuan et al. 10.1088/1748-9326/abd213
- Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al. 10.5194/esd-11-139-2020
- From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. 10.5194/gmd-15-2085-2022
- Insights from Earth system model initial-condition large ensembles and future prospects C. Deser et al. 10.1038/s41558-020-0731-2
16 citations as recorded by crossref.
- Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Y. Boulaguiem et al. 10.1017/eds.2022.4
- TIMBER v0.1: a conceptual framework for emulating temperature responses to tree cover change S. Nath et al. 10.5194/gmd-16-4283-2023
- STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. 10.5194/esd-13-1557-2022
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. 10.5194/esd-14-1333-2023
- MESMER-M: an Earth system model emulator for spatially resolved monthly temperature S. Nath et al. 10.5194/esd-13-851-2022
- The Value of Initial Condition Large Ensembles to Robust Adaptation Decision‐Making J. Mankin et al. 10.1029/2020EF001610
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
- 100 years of data is not enough to establish reliable drought thresholds R. Link et al. 10.1016/j.hydroa.2020.100052
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
- Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models S. Muruganandham et al. 10.1109/MCSE.2023.3300908
- Emulating climate extreme indices C. Tebaldi et al. 10.1088/1748-9326/ab8332
- Large-scale emulation of spatio-temporal variation in temperature under climate change X. Yuan et al. 10.1088/1748-9326/abd213
- Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al. 10.5194/esd-11-139-2020
- From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. 10.5194/gmd-15-2085-2022
- Insights from Earth system model initial-condition large ensembles and future prospects C. Deser et al. 10.1038/s41558-020-0731-2
Latest update: 18 Apr 2024
Short summary
Earth system models (ESMs) produce the highest-quality future climate data available, but they are costly to run, so only a few runs from each model are publicly available. What is needed are emulators that tell us what would have happened, if we had been able to perform as many ESM runs as we might have liked. Much of the existing work on emulators has focused on deterministic projections of average values. Here we present a way to imbue emulators with the variability seen in ESM runs.
Earth system models (ESMs) produce the highest-quality future climate data available, but they...
