Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3321-2015
https://doi.org/10.5194/gmd-8-3321-2015
Development and technical paper
 | 
22 Oct 2015
Development and technical paper |  | 22 Oct 2015

Par@Graph – a parallel toolbox for the construction and analysis of large complex climate networks

H. Ihshaish, A. Tantet, J. C. M. Dijkzeul, and H. A. Dijkstra

Related authors

Persistent Climate Model Biases in the Atlantic Ocean's Freshwater Transport
René M. van Westen and Henk A. Dijkstra
EGUsphere, https://doi.org/10.5194/egusphere-2023-1502,https://doi.org/10.5194/egusphere-2023-1502, 2023
Short summary
Data-driven methods to estimate the committor function in conceptual ocean models
Valérian Jacques-Dumas, René M. van Westen, Freddy Bouchet, and Henk A. Dijkstra
Nonlin. Processes Geophys., 30, 195–216, https://doi.org/10.5194/npg-30-195-2023,https://doi.org/10.5194/npg-30-195-2023, 2023
Short summary
Resilient Antarctic monsoonal climate prevented ice growth during the Eocene
Michiel Baatsen, Peter Bijl, Anna von der Heydt, Appy Sluijs, and Henk Dijkstra
Clim. Past Discuss., https://doi.org/10.5194/cp-2023-36,https://doi.org/10.5194/cp-2023-36, 2023
Preprint under review for CP
Short summary
Past warm climate conditions show a shift in Northern Hemisphere winter variability towards a dominant North Pacific Oscillation
Arthur Merlijn Oldeman, Michiel L. J. Baatsen, Anna S. von der Heydt, Aarnout J. van Delden, and Henk A. Dijkstra
EGUsphere, https://doi.org/10.5194/egusphere-2023-757,https://doi.org/10.5194/egusphere-2023-757, 2023
Short summary
Unraveling the mechanisms and implications of a stronger mid-Pliocene Atlantic Meridional Overturning Circulation (AMOC) in PlioMIP2
Julia E. Weiffenbach, Michiel L. J. Baatsen, Henk A. Dijkstra, Anna S. von der Heydt, Ayako Abe-Ouchi, Esther C. Brady, Wing-Le Chan, Deepak Chandan, Mark A. Chandler, Camille Contoux, Ran Feng, Chuncheng Guo, Zixuan Han, Alan M. Haywood, Qiang Li, Xiangyu Li, Gerrit Lohmann, Daniel J. Lunt, Kerim H. Nisancioglu, Bette L. Otto-Bliesner, W. Richard Peltier, Gilles Ramstein, Linda E. Sohl, Christian Stepanek, Ning Tan, Julia C. Tindall, Charles J. R. Williams, Qiong Zhang, and Zhongshi Zhang
Clim. Past, 19, 61–85, https://doi.org/10.5194/cp-19-61-2023,https://doi.org/10.5194/cp-19-61-2023, 2023
Short summary

Related subject area

Climate and Earth system modeling
The Canadian Atmospheric Model version 5 (CanAM5.0.3)
Jason Neil Steven Cole, Knut von Salzen, Jiangnan Li, John Scinocca, David Plummer, Vivek Arora, Norman McFarlane, Michael Lazare, Murray MacKay, and Diana Verseghy
Geosci. Model Dev., 16, 5427–5448, https://doi.org/10.5194/gmd-16-5427-2023,https://doi.org/10.5194/gmd-16-5427-2023, 2023
Short summary
The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis
Florian Zabel and Benjamin Poschlod
Geosci. Model Dev., 16, 5383–5399, https://doi.org/10.5194/gmd-16-5383-2023,https://doi.org/10.5194/gmd-16-5383-2023, 2023
Short summary
Assimilation of the AMSU-A radiances using the CESM (v2.1.0) and the DART (v9.11.13)–RTTOV (v12.3)
Young-Chan Noh, Yonghan Choi, Hyo-Jong Song, Kevin Raeder, Joo-Hong Kim, and Youngchae Kwon
Geosci. Model Dev., 16, 5365–5382, https://doi.org/10.5194/gmd-16-5365-2023,https://doi.org/10.5194/gmd-16-5365-2023, 2023
Short summary
Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability
Cenlin He, Prasanth Valayamkunnath, Michael Barlage, Fei Chen, David Gochis, Ryan Cabell, Tim Schneider, Roy Rasmussen, Guo-Yue Niu, Zong-Liang Yang, Dev Niyogi, and Michael Ek
Geosci. Model Dev., 16, 5131–5151, https://doi.org/10.5194/gmd-16-5131-2023,https://doi.org/10.5194/gmd-16-5131-2023, 2023
Short summary
Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso
Xiaoxu Shi, Alexandre Cauquoin, Gerrit Lohmann, Lukas Jonkers, Qiang Wang, Hu Yang, Yuchen Sun, and Martin Werner
Geosci. Model Dev., 16, 5153–5178, https://doi.org/10.5194/gmd-16-5153-2023,https://doi.org/10.5194/gmd-16-5153-2023, 2023
Short summary

Cited articles

Anand, K. and Bianconi, G.: Entropy measures for networks: Toward an information theory of complex topologies, Phys. Rev. E, 80, 045102, https://doi.org/10.1103/PhysRevE.80.045102, 2009.
Berezin, Y., Gozolchiani, A., Guez, O., and Havlin, S.: Stability of climate networks with time., Scientific Reports, 2, 666, https://doi.org/10.1038/srep00666, 2012.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E.: Fast unfolding of communities in large networks, J. Stat. Mech.-Theory E., 2008, P10008, https://doi.org/10.1088/1742-5468/2008/10/P10008, 2008.
Bonacich, P.: Factoring and weighting approaches to status scores and clique identification, J. Math. Sociol., 2, 113–120, 1972.
Brandes, U.: A Faster Algorithm for Betweenness Centrality, J. Math. Sociol., 25, 163–177, 2001.
Download
Short summary
Par@Graph, a software toolbox to reconstruct and analyze large-scale complex climate networks. It exposes parallelism on distributed-memory computing platforms to enable the construction of massive networks from large number of time series based on the calculation of common statistical similarity measures between them. Providing additionally parallel graph algorithms to enable fast calculation of important and common properties of the generated networks on SMP machines.