Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1889-2017
© Author(s) 2017. 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-10-1889-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
12 May 2017
Methods for assessment of models |
| 12 May 2017
Exploring precipitation pattern scaling methodologies and robustness among CMIP5 models
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
Cary Lynch
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
Corinne Hartin
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
Ben Bond-Lamberty
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
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Cited
20 citations as recorded by crossref.
- Changes in climate extremes over West and Central Africa at 1.5 °C and 2 °C global warming A. Diedhiou et al. https://doi.org/10.1088/1748-9326/aac3e5
- CLIMRISK-RIVER: Accounting for local river flood risk in estimating the economic cost of climate change P. Ignjacevic et al. https://doi.org/10.1016/j.envsoft.2020.104784
- AIRCC-Clim: A user-friendly tool for generating regional probabilistic climate change scenarios and risk measures F. Estrada et al. https://doi.org/10.1016/j.envsoft.2022.105528
- Building Interpretable Climate Emulators for Economics A. Eftekhari et al. https://doi.org/10.1093/ej/ueaf131
- Economic impacts and risks of climate change under failure and success of the Paris Agreement F. Estrada & W. Botzen https://doi.org/10.1111/nyas.14652
- Urban and non-urban contributions to the social cost of carbon F. Estrada et al. https://doi.org/10.1038/s41467-025-59466-y
- Regional scaling of annual mean precipitation and water availability with global temperature change P. Greve et al. https://doi.org/10.5194/esd-9-227-2018
- GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios R. Muñoz-Sánchez et al. https://doi.org/10.1038/s41597-025-05496-6
- A theoretical framework to understand sources of error in Earth System Model emulation C. Womack et al. https://doi.org/10.5194/esd-17-107-2026
- Emulating climate extreme indices C. Tebaldi et al. https://doi.org/10.1088/1748-9326/ab8332
- Emulators of Climate Model Output C. Tebaldi et al. https://doi.org/10.1146/annurev-environ-012125-085838
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. https://doi.org/10.5194/gmd-18-1785-2025
- Can today’s and tomorrow’s world uniformly gain from carbon taxation? L. Kotlikoff et al. https://doi.org/10.1016/j.euroecorev.2024.104819
- Climate Change Through the Lens of Macroeconomic Modeling J. Fernández-Villaverde et al. https://doi.org/10.1146/annurev-economics-091124-045357
- Time of emergence of economic impacts of climate change P. Ignjacevic et al. https://doi.org/10.1088/1748-9326/ac0d7a
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. https://doi.org/10.1371/journal.pclm.0000159
- Using high-resolution climate change information in water management: a decision-makers' perspective H. Orr et al. https://doi.org/10.1098/rsta.2020.0219
- Does integrating climate change projection with agriculture policy improve agricultural adaptation and food security? Evidence from Bangladesh Z. Ahmed et al. https://doi.org/10.1007/s00704-023-04643-6
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. https://doi.org/10.5194/esd-14-817-2023
- Changes in regional climate extremes as a function of global mean temperature: an interactive plotting framework R. Wartenburger et al. https://doi.org/10.5194/gmd-10-3609-2017
20 citations as recorded by crossref.
- Changes in climate extremes over West and Central Africa at 1.5 °C and 2 °C global warming A. Diedhiou et al. https://doi.org/10.1088/1748-9326/aac3e5
- CLIMRISK-RIVER: Accounting for local river flood risk in estimating the economic cost of climate change P. Ignjacevic et al. https://doi.org/10.1016/j.envsoft.2020.104784
- AIRCC-Clim: A user-friendly tool for generating regional probabilistic climate change scenarios and risk measures F. Estrada et al. https://doi.org/10.1016/j.envsoft.2022.105528
- Building Interpretable Climate Emulators for Economics A. Eftekhari et al. https://doi.org/10.1093/ej/ueaf131
- Economic impacts and risks of climate change under failure and success of the Paris Agreement F. Estrada & W. Botzen https://doi.org/10.1111/nyas.14652
- Urban and non-urban contributions to the social cost of carbon F. Estrada et al. https://doi.org/10.1038/s41467-025-59466-y
- Regional scaling of annual mean precipitation and water availability with global temperature change P. Greve et al. https://doi.org/10.5194/esd-9-227-2018
- GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios R. Muñoz-Sánchez et al. https://doi.org/10.1038/s41597-025-05496-6
- A theoretical framework to understand sources of error in Earth System Model emulation C. Womack et al. https://doi.org/10.5194/esd-17-107-2026
- Emulating climate extreme indices C. Tebaldi et al. https://doi.org/10.1088/1748-9326/ab8332
- Emulators of Climate Model Output C. Tebaldi et al. https://doi.org/10.1146/annurev-environ-012125-085838
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. https://doi.org/10.5194/gmd-18-1785-2025
- Can today’s and tomorrow’s world uniformly gain from carbon taxation? L. Kotlikoff et al. https://doi.org/10.1016/j.euroecorev.2024.104819
- Climate Change Through the Lens of Macroeconomic Modeling J. Fernández-Villaverde et al. https://doi.org/10.1146/annurev-economics-091124-045357
- Time of emergence of economic impacts of climate change P. Ignjacevic et al. https://doi.org/10.1088/1748-9326/ac0d7a
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. https://doi.org/10.1371/journal.pclm.0000159
- Using high-resolution climate change information in water management: a decision-makers' perspective H. Orr et al. https://doi.org/10.1098/rsta.2020.0219
- Does integrating climate change projection with agriculture policy improve agricultural adaptation and food security? Evidence from Bangladesh Z. Ahmed et al. https://doi.org/10.1007/s00704-023-04643-6
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. https://doi.org/10.5194/esd-14-817-2023
- Changes in regional climate extremes as a function of global mean temperature: an interactive plotting framework R. Wartenburger et al. https://doi.org/10.5194/gmd-10-3609-2017
Saved (final revised paper)
Latest update: 14 Oct 2026
Short summary
Pattern scaling is a way of approximating regional changes without needing to run a full, complex global climate model. We compare two methods of pattern scaling for precipitation and evaluate which methods is
betterin particular circumstances. We also decompose precipitation into a CO2 portion and a non-CO2 portion. The methodologies discussed in this paper can help provide precipitation fields for other models for a wide variety of scenarios of future climate change.
Pattern scaling is a way of approximating regional changes without needing to run a full,...
