Articles | Volume 9, issue 10
Geosci. Model Dev., 9, 3605–3616, 2016
https://doi.org/10.5194/gmd-9-3605-2016

Special issue: Model infrastructure integration and interoperability (MI3)

Geosci. Model Dev., 9, 3605–3616, 2016
https://doi.org/10.5194/gmd-9-3605-2016

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

V. Balaji et al.

Related authors

Requirements for a global data infrastructure in support of CMIP6
Venkatramani Balaji, Karl E. Taylor, Martin Juckes, Bryan N. Lawrence, Paul J. Durack, Michael Lautenschlager, Chris Blanton, Luca Cinquini, Sébastien Denvil, Mark Elkington, Francesca Guglielmo, Eric Guilyardi, David Hassell, Slava Kharin, Stefan Kindermann, Sergey Nikonov, Aparna Radhakrishnan, Martina Stockhause, Tobias Weigel, and Dean Williams
Geosci. Model Dev., 11, 3659–3680, https://doi.org/10.5194/gmd-11-3659-2018,https://doi.org/10.5194/gmd-11-3659-2018, 2018
Short summary
CPMIP: measurements of real computational performance of Earth system models in CMIP6
Venkatramani Balaji, Eric Maisonnave, Niki Zadeh, Bryan N. Lawrence, Joachim Biercamp, Uwe Fladrich, Giovanni Aloisio, Rusty Benson, Arnaud Caubel, Jeffrey Durachta, Marie-Alice Foujols, Grenville Lister, Silvia Mocavero, Seth Underwood, and Garrett Wright
Geosci. Model Dev., 10, 19–34, https://doi.org/10.5194/gmd-10-19-2017,https://doi.org/10.5194/gmd-10-19-2017, 2017
Short summary
Towards improved and more routine Earth system model evaluation in CMIP
Veronika Eyring, Peter J. Gleckler, Christoph Heinze, Ronald J. Stouffer, Karl E. Taylor, V. Balaji, Eric Guilyardi, Sylvie Joussaume, Stephan Kindermann, Bryan N. Lawrence, Gerald A. Meehl, Mattia Righi, and Dean N. Williams
Earth Syst. Dynam., 7, 813–830, https://doi.org/10.5194/esd-7-813-2016,https://doi.org/10.5194/esd-7-813-2016, 2016
Short summary
Development and exploitation of a controlled vocabulary in support of climate modelling
M.-P. Moine, S. Valcke, B. N. Lawrence, C. Pascoe, R. W. Ford, A. Alias, V. Balaji, P. Bentley, G. Devine, S. A. Callaghan, and E. Guilyardi
Geosci. Model Dev., 7, 479–493, https://doi.org/10.5194/gmd-7-479-2014,https://doi.org/10.5194/gmd-7-479-2014, 2014

Related subject area

Climate and Earth system modeling
Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)
Yan Sun, Daniel S. Goll, Jinfeng Chang, Philippe Ciais, Betrand Guenet, Julian Helfenstein, Yuanyuan Huang, Ronny Lauerwald, Fabienne Maignan, Victoria Naipal, Yilong Wang, Hui Yang, and Haicheng Zhang
Geosci. Model Dev., 14, 1987–2010, https://doi.org/10.5194/gmd-14-1987-2021,https://doi.org/10.5194/gmd-14-1987-2021, 2021
Short summary
Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1
Hui Wan, Shixuan Zhang, Philip J. Rasch, Vincent E. Larson, Xubin Zeng, and Huiping Yan
Geosci. Model Dev., 14, 1921–1948, https://doi.org/10.5194/gmd-14-1921-2021,https://doi.org/10.5194/gmd-14-1921-2021, 2021
Short summary
A process-based evaluation of the Intermediate Complexity Atmospheric Research Model (ICAR) 1.0.1
Johannes Horak, Marlis Hofer, Ethan Gutmann, Alexander Gohm, and Mathias W. Rotach
Geosci. Model Dev., 14, 1657–1680, https://doi.org/10.5194/gmd-14-1657-2021,https://doi.org/10.5194/gmd-14-1657-2021, 2021
Short summary
Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model
Yong Wang, Guang J. Zhang, Shaocheng Xie, Wuyin Lin, George C. Craig, Qi Tang, and Hsi-Yen Ma
Geosci. Model Dev., 14, 1575–1593, https://doi.org/10.5194/gmd-14-1575-2021,https://doi.org/10.5194/gmd-14-1575-2021, 2021
Short summary
Sensitivity of surface solar radiation to aerosol–radiation and aerosol–cloud interactions over Europe in WRFv3.6.1 climatic runs with fully interactive aerosols
Sonia Jerez, Laura Palacios-Peña, Claudia Gutiérrez, Pedro Jiménez-Guerrero, Jose María López-Romero, Enrique Pravia-Sarabia, and Juan Pedro Montávez
Geosci. Model Dev., 14, 1533–1551, https://doi.org/10.5194/gmd-14-1533-2021,https://doi.org/10.5194/gmd-14-1533-2021, 2021
Short summary

Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present), J. Hydrometeorol., 4, 1147–1167, 2003.
Alexander, K. and Easterbrook, S. M.: The software architecture of climate models: a graphical comparison of CMIP5 and EMICAR5 configurations, Geosci. Model Dev., 8, 1221–1232, https://doi.org/10.5194/gmd-8-1221-2015, 2015.
Balaji, V.: The Flexible Modeling System, in: Earth System Modelling – Volume 3, edited by: Valcke, S., Redler, R., and Budich, R., SpringerBriefs in Earth System Sciences, Springer Berlin Heidelberg, 33–41, 2012.
Balaji, V.: Climate Computing: The State of Play, Comput. Sci. Eng., 17, 9–13, 2015.
Balaji, V., Anderson, J., Held, I., Winton, M., Durachta, J., Malyshev, S., and Stouffer, R. J.: The Exchange Grid: a mechanism for data exchange between Earth System components on independent grids, in: Parallel Computational Fluid Dynamics: Theory and Applications, Proceedings of the 2005 International Conference on Parallel Computational Fluid Dynamics, 24–27 May, College Park, MD, USA, edited by: Deane, A., Brenner, G., Ecer, A., Emerson, D., McDonough, J., Periaux, J., Satofuka, N., and Tromeur-Dervout, D., Elsevier, 2006.
Download
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.