Complex networks in climate science: Progress, opportunities and challenges

Proceedings of the 2010 Conference on Intelligent Data Understanding, CIDU 2010

Volumn , Issue , 2010, Pages 16-26

  Steinhaeuser, Karsten ^a,b   Chawla, Nitesh V ^a   Ganguly, Auroop R ^b  

^a University of Notre Dame   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE SCIENCE; GLOBAL CLIMATE SYSTEM; STATE OF THE ART;

NASA;

EID: 84893369028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. A.-L. Barabási and E. Bonabeau. Scale-free networks. Scientific American, 288: 50-59, 2003.
2. A. Clauset, C. Moore, and M. E. J. Newman. Hierarchical structure and the prediction of missing links in networks. Nature, 453: 98-101, 2008.
3. J. F. Donges, Y. Zou, N. Marwan, and J. Kurths. Complex networks in climate dynamics. European Physics Journal Special Topics, 174: 157-179, 2009.
4. J. F. Donges, Y. Zou, N. Marwan, and J. Kurths. Complex networks in climate dynamics. Europhysics Letters, 87: 48007, 2009.
5. J. B. Elsner, T. H. Jagger, and E. A. Fogarty. Visilibity network of united states hurricanes. Geophysical Research Letters, 36: L16702, 2009.
6. P. Erdös and A. Rényi. On the evolution of random graphs. Publications of the Mathematical Institute of the Hungarian Acadademy of Sciences, 5: 17-61, 1960.
7. E. A. Fogarty, J. B. Elsner, T. H. Jagger, and A. A. Tsonis. Network Analysis of U.S. Hurricanes. In Hurricanes and Climate Change, pages 153-167. Springer Science + Business Media, LLC, 2009.
8. M. Girvan and M. Newman. Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99: 7821-7826, 2002.
9. E. Kalnay et al. The NCEP/NCAR 40-Year Reanalysis Project. BAMS, 77(3): 437-470, 1996.
10. S.-C. Kao, A. R. Ganguly, and K. Steinhaeuser. Motivating complex dependence structures in data mining: A case study with anomaly detection in climate. In IEEE ICDM Workshop on Knowledge Disocvery from Climate Data, pages 223-230, 2009.
11. S. Khan, S. Bandyopadhyay, A. R. Ganguly, et al. Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data. Physical Review E, 76(2): 026209, 2007.
12. J.-P. Onnela, J. Saramäki, K. Kaski, and J. Kertész. Financial market - a network perspective. In Practical Fruits of Econophysics, pages 302-306. Springer, 2006.
13. L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank Citation Ranking: Bringing Order to the Web. Technical report, Stanford Digital Library Technologies Project, 1998.
14. C. Schöolzel and P. Friederichs. Multivariate non-normally distributed random variables in climat ere-search - introduction to the copula approach. Nonlin. Proc. Geophys., 15: 761-772, 2008.
15. A. Serrano, M. Boguna, and A. Vespignani. Extracting the multiscale backbone of complex weighted networks. Proceedi ngs of the National Academy of Sci ences USA, 106(16): 8847-8852, 2009.
16. M. Steinbach, P.-N. Tan, V. Kumar, S. Klooster, and C. P. r. Discovery of Climate Indices using Clustering. In ACM SIGKDD Conf. on Knowledge Discovery and Data Mining, pages 446-455, 2003.
17. K. Steinhaeuser and N. V. Chawla. Identifying and evaluating community structure in complex networks. Pattern Recognition Letters, 31(5): 413-421, 2010.
18. K. Steinhaeuser, N. V. Chawla, and A. R. Ganguly. Complex networks as a unified framework for descriptive analysis and predictive modeling in climate. Article in review.
19. K. Steinhaeuser, N. V. Chawla, and A. R. Ganguly. An exploration of climate data using complex networks. ACM SIGKDD Explorations, 12(1), 2010.
20. A. A. Tsonis. Nonlinear Dynamics in Geosciences, chapter 1, pages 1-15. Springer, New York, 2007.
21. A. A. Tsonis and P. J. Roebber. The architecture of the climate network. Physica A, 333: 497-504, 2004.
22. A. A. Tsonis, K. Swanson, and S. Kravtsov. A new dynamical mechanism for major climate shifts. Geophysical Research Letters, 34(L13705), 2007.
23. A. A. Tsonis and K. L. Swanson. On the role of atmospheric teleconnections in climate. Journal of Climate, 21: 2990-3001.
24. A. A. Tsonis and K. L. Swanson. Topology and Predictability of El Niño and La Niña Networks. Physical Review Letters, 100(228502), 2008.
25. A. A. Tsonis, K. L. Swanson, and P. J. Roebber. What Do Networks Have to Do with Climate? Bulletin of the American Meteorological Society, 87(5): 585-595, 2006.
26. P. Uetz, L. Giot, G. Cagney, et al. A comprehensive analysis of protein-protein interactions in saccha-romyces cerevisiae. Nature, 403: 623-627, 1999.
27. http://www.cdc.noaa.gov/data/gridded/data.ncep.reanalysis.html.
28. http://www.cgd.ucar.edu/cas/catalog/climind/.
29. G. Wang, K. L. Swanson, and A. A. Tsonis. The pacemaker of major climate shifts. Geophysical Research Letters, 36: L07708, 2009.
30. S. Wasserman and K. Faust. Social Network Analysis. Cambridge University Press, 1994.
31. D. J. Watts and S. H. Strogatz. Collective dynamics of "small-world" networks. Nature, 393: 440-442, 1998.
32. K. Yamasaki, A. Gozolchiani, and S. Havlin. Climate Networks around the Globe are Significantly Affected by El Niño. Physical Review Letters, 100(22): 157-179, 2008.
33. K. Yamasaki, A. Gozolchiani, and S. Havlin. Climate Networks Based on Phase Synchronization Analysis Track El-Niño. Progress of Theoretical Physics, Supplement No. 179: 178-188, 2009.