Articles | Volume 9, issue 10
https://doi.org/10.5194/gmd-9-3605-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-9-3605-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
11 Oct 2016
Development and technical paper |
| 11 Oct 2016
Coarse-grained component concurrency in Earth system modeling: parallelizing atmospheric radiative transfer in the GFDL AM3 model using the Flexible Modeling System coupling framework
Princeton University, Cooperative Institute of Climate Science, Princeton NJ, USA
Rusty Benson
National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory (NOAA/GFDL), Princeton NJ, USA
Bruce Wyman
National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory (NOAA/GFDL), Princeton NJ, USA
Isaac Held
National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory (NOAA/GFDL), Princeton NJ, USA
Viewed
Total article views: 4,009 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 May 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,671 | 1,155 | 183 | 4,009 | 207 | 192 |
- HTML: 2,671
- PDF: 1,155
- XML: 183
- Total: 4,009
- BibTeX: 207
- EndNote: 192
Total article views: 3,397 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Oct 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,300 | 917 | 180 | 3,397 | 197 | 184 |
- HTML: 2,300
- PDF: 917
- XML: 180
- Total: 3,397
- BibTeX: 197
- EndNote: 184
Total article views: 612 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 May 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 371 | 238 | 3 | 612 | 10 | 8 |
- HTML: 371
- PDF: 238
- XML: 3
- Total: 612
- BibTeX: 10
- EndNote: 8
Cited
14 citations as recorded by crossref.
- An automatic performance model-based scheduling tool for coupled climate system models N. Ding et al. 10.1016/j.jpdc.2018.01.002
- Concurrent calculation of radiative transfer in the atmospheric simulation in ECHAM-6.3.05p2 M. Heidari et al. 10.5194/gmd-14-7439-2021
- 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al. 10.5194/gmd-15-9157-2022
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies M. Zhao et al. 10.1002/2017MS001209
- The Art and Science of Climate Model Tuning F. Hourdin et al. 10.1175/BAMS-D-15-00135.1
- Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models R. Pincus et al. 10.1029/2019MS001621
- UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. 10.5194/gmd-15-9177-2022
- CPMIP: measurements of real computational performance of Earth system models in CMIP6 V. Balaji et al. 10.5194/gmd-10-19-2017
- Crossing the chasm: how to develop weather and climate models for next generation computers? B. Lawrence et al. 10.5194/gmd-11-1799-2018
- The digital revolution of Earth-system science P. Bauer et al. 10.1038/s43588-021-00023-0
- Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. 10.5194/gmd-11-915-2018
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
- Performance and Accuracy Implications of Parallel Split Physics‐Dynamics Coupling in the Energy Exascale Earth System Atmosphere Model A. Donahue & P. Caldwell 10.1029/2020MS002080
14 citations as recorded by crossref.
- An automatic performance model-based scheduling tool for coupled climate system models N. Ding et al. 10.1016/j.jpdc.2018.01.002
- Concurrent calculation of radiative transfer in the atmospheric simulation in ECHAM-6.3.05p2 M. Heidari et al. 10.5194/gmd-14-7439-2021
- 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al. 10.5194/gmd-15-9157-2022
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies M. Zhao et al. 10.1002/2017MS001209
- The Art and Science of Climate Model Tuning F. Hourdin et al. 10.1175/BAMS-D-15-00135.1
- Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models R. Pincus et al. 10.1029/2019MS001621
- UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. 10.5194/gmd-15-9177-2022
- CPMIP: measurements of real computational performance of Earth system models in CMIP6 V. Balaji et al. 10.5194/gmd-10-19-2017
- Crossing the chasm: how to develop weather and climate models for next generation computers? B. Lawrence et al. 10.5194/gmd-11-1799-2018
- The digital revolution of Earth-system science P. Bauer et al. 10.1038/s43588-021-00023-0
- Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. 10.5194/gmd-11-915-2018
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
- Performance and Accuracy Implications of Parallel Split Physics‐Dynamics Coupling in the Energy Exascale Earth System Atmosphere Model A. Donahue & P. Caldwell 10.1029/2020MS002080
Latest update: 02 Jul 2025
Short summary
In nature, the many processes that make up the Earth system take place
simultaneously, for instance the condensation of water vapour into
clouds, and the blocking of sunlight by those clouds. In computer
simulations, these often take place in sequence. We demonstrate how to
make these processes also execute in parallel in computer simulations.
This should prove a large benefit in the new era of computing, where
arithmetic does not get faster, but we can perform more of it in parallel.
In nature, the many processes that make up the Earth system take place
simultaneously, for...
