Articles | Volume 24, issue 12
https://doi.org/10.5194/acp-24-7041-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-24-7041-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Opinion
| Highlight paper
| 
19 Jun 2024
Opinion | Highlight paper |
| 19 Jun 2024
| 19 Jun 2024
Opinion: Optimizing climate models with process knowledge, resolution, and artificial intelligence
California Institute of Technology, Pasadena, CA, USA
Google Research, Mountain View, CA, USA
L. Ruby Leung
Pacific Northwest National Laboratory, Richland, WA, USA
Robert C. J. Wills
ETH Zurich, Zurich, Switzerland
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Total article views: 7,716 (including HTML, PDF, and XML)
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Total article views: 8,990 (including HTML, PDF, and XML)
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Total article views: 7,716 (including HTML, PDF, and XML)
Thereof 7,481 with geography defined
and 235 with unknown origin.
Total article views: 1,274 (including HTML, PDF, and XML)
Thereof 1,274 with geography defined
and 0 with unknown origin.
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Cited
23 citations as recorded by crossref.
- Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators A. Mahesh et al.
- Hydroclimate volatility on a warming Earth D. Swain et al.
- An overview of statistical analysis and modeling of characteristics and impacts of major mechanisms of atmospheric moisture transport over India N. Natarajan et al.
- Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al.
- Convolutional autoencoder latent-space modeling with climate-index–conditioned recurrent networks for assessing subseasonal potential forecast skill of the Baltic Sea heat content A. Hayatijozani et al.
- An EOF-Based Emulator of Means and Covariances of Monthly Climate Fields G. Geogdzhayev et al.
- Neural general circulation models for weather and climate D. Kochkov et al.
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al.
- The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques L. Canché-Cab et al.
- Emulators of Climate Model Output C. Tebaldi et al.
- Three decades of simulating global temperature patterns with coupled global climate models L. Brunner et al.
- Calibrating the GAMIL3-1° climate model using a derivative-free optimization method W. Liang et al.
- Non‐Abrupt Vegetation Changes due to Altered Nutrient Balance Make Complex Scale‐Dependent Warming and Cooling Effects B. Hanggara et al.
- Multi-objective genetic optimization of embodied and operational energy and carbon impacts of buildings in current and future scenarios M. Kamazani et al.
- Dual-frequency (Ka-band and G-band) radar estimates of liquid water content profiles in shallow clouds J. Socuellamos et al.
- Do the use of a convection scheme in the convective “gray zone” and the increase in spatial resolution enhance the WRF’s precipitation predictive capability? I. Stergiou et al.
- A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al.
- Confronting Earth System Model trends with observations I. Simpson et al.
- Selection of climate simulations for climate change impact studies: case study of the Souss watershed, Morocco M. Meliho et al.
- Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review W. Xu et al.
- Parameterization adaption needed to unlock the benefits of increased resolution for the ITCZ in ICON C. Kroll et al.
- Evaluating the Potential of ChatGPT to Support Climate Risk and Adaptation Assessment R. Wilby
- Spatiotemporal estimation of actual forest evapotranspiration in semi-arid China using remote sensing and deep learning R. Su et al.
23 citations as recorded by crossref.
- Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators A. Mahesh et al.
- Hydroclimate volatility on a warming Earth D. Swain et al.
- An overview of statistical analysis and modeling of characteristics and impacts of major mechanisms of atmospheric moisture transport over India N. Natarajan et al.
- Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al.
- Convolutional autoencoder latent-space modeling with climate-index–conditioned recurrent networks for assessing subseasonal potential forecast skill of the Baltic Sea heat content A. Hayatijozani et al.
- An EOF-Based Emulator of Means and Covariances of Monthly Climate Fields G. Geogdzhayev et al.
- Neural general circulation models for weather and climate D. Kochkov et al.
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al.
- The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques L. Canché-Cab et al.
- Emulators of Climate Model Output C. Tebaldi et al.
- Three decades of simulating global temperature patterns with coupled global climate models L. Brunner et al.
- Calibrating the GAMIL3-1° climate model using a derivative-free optimization method W. Liang et al.
- Non‐Abrupt Vegetation Changes due to Altered Nutrient Balance Make Complex Scale‐Dependent Warming and Cooling Effects B. Hanggara et al.
- Multi-objective genetic optimization of embodied and operational energy and carbon impacts of buildings in current and future scenarios M. Kamazani et al.
- Dual-frequency (Ka-band and G-band) radar estimates of liquid water content profiles in shallow clouds J. Socuellamos et al.
- Do the use of a convection scheme in the convective “gray zone” and the increase in spatial resolution enhance the WRF’s precipitation predictive capability? I. Stergiou et al.
- A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al.
- Confronting Earth System Model trends with observations I. Simpson et al.
- Selection of climate simulations for climate change impact studies: case study of the Souss watershed, Morocco M. Meliho et al.
- Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review W. Xu et al.
- Parameterization adaption needed to unlock the benefits of increased resolution for the ITCZ in ICON C. Kroll et al.
- Evaluating the Potential of ChatGPT to Support Climate Risk and Adaptation Assessment R. Wilby
- Spatiotemporal estimation of actual forest evapotranspiration in semi-arid China using remote sensing and deep learning R. Su et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Editorial statement
This article was solicited for the ACP 20th Anniversary collection. It received positive reviews that very nicely contributed to the ideas and to which the authors responded thoroughly. It is a stimulating read, combining 'big-picture' considerations with more detailed technical discussion of important and illuminating examples.
This article was solicited for the ACP 20th Anniversary collection. It received positive...
Short summary
Climate models are crucial for predicting climate change in detail. This paper proposes a balanced approach to improving their accuracy by combining traditional process-based methods with modern artificial intelligence (AI) techniques while maximizing the resolution to allow for ensemble simulations. The authors propose using AI to learn from both observational and simulated data while incorporating existing physical knowledge to reduce data demands and improve climate prediction reliability.
Climate models are crucial for predicting climate change in detail. This paper proposes a...
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