Articles | Volume 12, issue 7
Geosci. Model Dev., 12, 3311–3328, 2019
https://doi.org/10.5194/gmd-12-3311-2019

Special issue: Model infrastructure integration and interoperability (MI3)

Geosci. Model Dev., 12, 3311–3328, 2019
https://doi.org/10.5194/gmd-12-3311-2019

Development and technical paper 26 Jul 2019

Development and technical paper | 26 Jul 2019

PatCC1: an efficient parallel triangulation algorithm for spherical and planar grids with commonality and parallel consistency

Haoyu Yang et al.

Related authors

The Effects of Ocean Surface Waves on Global Intraseasonal Prediction: Case Studies with a Coupled CFSv2.0-WW3
Ruizi Shi, Fanghua Xu, Li Liu, Zheng Fan, Hao Yu, Hong Li, Xiang Li, and Yunfei Zhang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-322,https://doi.org/10.5194/gmd-2021-322, 2021
Revised manuscript under review for GMD
Short summary
Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0
Chao Sun, Li Liu, Ruizhe Li, Xinzhu Yu, Hao Yu, Biao Zhao, Guansuo Wang, Juanjuan Liu, Fangli Qiao, and Bin Wang
Geosci. Model Dev., 14, 2635–2657, https://doi.org/10.5194/gmd-14-2635-2021,https://doi.org/10.5194/gmd-14-2635-2021, 2021
Short summary
A fully coupled Arctic sea-ice–ocean–atmosphere model (ArcIOAM v1.0) based on C-Coupler2: model description and preliminary results
Shihe Ren, Xi Liang, Qizhen Sun, Hao Yu, L. Bruno Tremblay, Bo Lin, Xiaoping Mai, Fu Zhao, Ming Li, Na Liu, Zhikun Chen, and Yunfei Zhang
Geosci. Model Dev., 14, 1101–1124, https://doi.org/10.5194/gmd-14-1101-2021,https://doi.org/10.5194/gmd-14-1101-2021, 2021
Short summary
Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
Shiming Xu, Jialiang Ma, Lu Zhou, Yan Zhang, Jiping Liu, and Bin Wang
Geosci. Model Dev., 14, 603–628, https://doi.org/10.5194/gmd-14-603-2021,https://doi.org/10.5194/gmd-14-603-2021, 2021
Short summary
DiRong1.0: a distributed implementation for improving routing network generation in model coupling
Hao Yu, Li Liu, Chao Sun, Ruizhe Li, Xinzhu Yu, Cheng Zhang, Zhiyuan Zhang, and Bin Wang
Geosci. Model Dev., 13, 6253–6263, https://doi.org/10.5194/gmd-13-6253-2020,https://doi.org/10.5194/gmd-13-6253-2020, 2020
Short summary

Related subject area

Climate and Earth system modeling
ChAP 1.0: a stationary tropospheric sulfur cycle for Earth system models of intermediate complexity
Alexey V. Eliseev, Rustam D. Gizatullin, and Alexandr V. Timazhev
Geosci. Model Dev., 14, 7725–7747, https://doi.org/10.5194/gmd-14-7725-2021,https://doi.org/10.5194/gmd-14-7725-2021, 2021
Short summary
Non-Hydrostatic RegCM4 (RegCM4-NH): model description and case studies over multiple domains
Erika Coppola, Paolo Stocchi, Emanuela Pichelli, Jose Abraham Torres Alavez, Russell Glazer, Graziano Giuliani, Fabio Di Sante, Rita Nogherotto, and Filippo Giorgi
Geosci. Model Dev., 14, 7705–7723, https://doi.org/10.5194/gmd-14-7705-2021,https://doi.org/10.5194/gmd-14-7705-2021, 2021
Short summary
Robustness of neural network emulations of radiative transfer parameterizations in a state-of-the-art general circulation model
Alexei Belochitski and Vladimir Krasnopolsky
Geosci. Model Dev., 14, 7425–7437, https://doi.org/10.5194/gmd-14-7425-2021,https://doi.org/10.5194/gmd-14-7425-2021, 2021
Short summary
NorCPM1 and its contribution to CMIP6 DCPP
Ingo Bethke, Yiguo Wang, François Counillon, Noel Keenlyside, Madlen Kimmritz, Filippa Fransner, Annette Samuelsen, Helene Langehaug, Lea Svendsen, Ping-Gin Chiu, Leilane Passos, Mats Bentsen, Chuncheng Guo, Alok Gupta, Jerry Tjiputra, Alf Kirkevåg, Dirk Olivié, Øyvind Seland, Julie Solsvik Vågane, Yuanchao Fan, and Tor Eldevik
Geosci. Model Dev., 14, 7073–7116, https://doi.org/10.5194/gmd-14-7073-2021,https://doi.org/10.5194/gmd-14-7073-2021, 2021
Short summary
ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler
Bin Mu, Bo Qin, and Shijin Yuan
Geosci. Model Dev., 14, 6977–6999, https://doi.org/10.5194/gmd-14-6977-2021,https://doi.org/10.5194/gmd-14-6977-2021, 2021
Short summary

Cited articles

Bentley, J. L.: Multidimensional binary search trees used for associative searching, Commun. ACM, 18, 509–517, 1975. 
Craig, A., Valcke, S., and Coquart, L.: Development and performance of a new version of the OASIS coupler, OASIS3-MCT_3.0, Geosci. Model Dev., 10, 3297–3308, https://doi.org/10.5194/gmd-10-3297-2017, 2017. 
Craig, A. P., Jacob, R. L., Kauffman, B., Bettge, T., Larson, J. W., Ong, E. T., Ding, C. H. Q., and He, Y.: CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model, Int. J. High Perform. C, 19, 309–327, 2005. 
Craig, A. P., Vertenstein, M., and Jacob, R.: A New Flexible Coupler for Earth System Modeling developed for CCSM4 and CESM1, Int. J. High Perform. C, 26-1, 31–42, https://doi.org/10.1177/1094342011428141, 2012. 
Guibas, L. and Stolfi, J.: Primitives for the manipulation of general subdivisions and the computation of Voronoi, ACM T. Graphic., 4, 74–123, 1985. 
Download
Short summary
PatCC1 demonstrates that triangulation can achieve parallel efficiency, commonality, and parallel consistency (exactly the same result under different parallel settings) at the same time.