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Testing the detectability of spatio–temporal climate transitions from paleoclimate networks with the START model

Authors: Rehfeld, K.; Molkenthin, N.; Kurths, J.;

Testing the detectability of spatio–temporal climate transitions from paleoclimate networks with the START model

Abstract

A critical challenge in paleoclimate data analysis is the fact that the proxy data are heterogeneously distributed in space, which affects statistical methods that rely on spatial embedding of data. In the paleoclimate network approach nodes represent paleoclimate proxy time series, and links in the network are given by statistically significant similarities between them. Their location in space, proxy and archive type is coded in the node attributes. We develop a semi-empirical model for Spatio-Temporally AutocoRrelated Time series, inspired by the interplay of different Asian Summer Monsoon (ASM) systems. We use an ensemble of transition runs of this START model to test whether and how spatio–temporal climate transitions could be detectable from (paleo)climate networks. We sample model time series both on a grid and at locations at which paleoclimate data are available to investigate the effect of the spatially heterogeneous availability of data. Node betweenness centrality, averaged over the transition region, does not respond to the transition displayed by the START model, neither in the grid-based nor in the scattered sampling arrangement. The regionally defined measures of regional node degree and cross link ratio, however, are indicative of the changes in both scenarios, although the magnitude of the changes differs according to the sampling. We find that the START model is particularly suitable for pseudo-proxy experiments to test the technical reconstruction limits of paleoclimate data based on their location, and we conclude that (paleo)climate networks are suitable for investigating spatio–temporal transitions in the dependence structure of underlying climatic fields.

47 references, page 1 of 5

Agnihotri, R., Dutta, K., Bhushan, R., and Somayajulu, B.: Evidence for solar forcing on the Indian monsoon during the last millennium, Earth Planet. Sc. Lett., 198, 521-527, doi:10.1016/S0012-821X(02)00530-7, 2002.

Anchukaitis, K. J., Evans, M. N., Kaplan, A., Vaganov, E. A., Hughes, M. K., Grissino-Mayer, H. D., and Cane, M. A.: Forward modeling of regional scale tree-ring patterns in the southeastern United States and the recent influence of summer drought, Geophys. Res. Lett., 33, 2-5, doi:10.1029/2005GL025050, 2006.

Barthélemy, M.: Spatial networks, Phys. Rep., 499, 1-101, doi:10.1016/j.physrep.2010.11.002, 2011.

Cao, J., Hu, J., and Tao, Y.: An index for the interface between the Indian summer monsoon and the East Asian summer monsoon, J. Geophys. Res., 117, 1-9, doi:10.1029/2012JD017841, 2012.

Chatfield, C.: The analysis of time series: an introduction, 6th Edn., CRC Press, Florida, USA, 2004.

Cover, T. and Thomas, J.: Elements of information theory, 2nd Edn., John Wiley & Sons, Inc., Hoboken, New Jersey, 2006.

Donges, J. F., Zou, Y., Marwan, N., and Kurths, J.: The backbone of the climate network, Europhys. Lett., 87, 48007, doi:10.1209/0295-5075/87/48007, 2009a.

Donges, J. F., Zou, Y., Marwan, N., and Kurths, J.: Complex networks in climate dynamics, Eur. Phys. J. Spec. Top., 174, 157- 179, doi:10.1140/epjst/e2009-01098-2, 2009b.

Donges, J. F., Schultz, H. C. H., Marwan, N., Zou, Y., and Kurths, J.: Investigating the topology of interacting networks, Eur. Phys. J. B, 84, 635-651, doi:10.1140/epjb/e2011-10795-8, 2011.

Dykoski, C., Edwards, R., Cheng, H., Yuan, D., Cai, Y., Zhang, M., Lin, Y., Qing, J., An, Z., and Revenaugh, J.: A high-resolution, absolute-dated Holocene and deglacial Asian monsoon record from Dongge Cave, China, Earth Planet. Sc. Lett., 233, 71-86, doi:10.1016/j.epsl.2005.01.036, 2005.

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    Average
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Funded by
EC| LINC
Project
LINC
Learning about Interacting Networks in Climate
  • Funder: European Commission (EC)
  • Project Code: 289447
  • Funding stream: FP7 | SP3 | PEOPLE
Related to Research communities
European Marine Science
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