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Conference Paper

Detecting multivariate biosphere extremes

MPS-Authors
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Flach,  Milan
Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Sippel,  Sebastian
Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Mahecha,  Miguel D.
Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Guanche Garcia, Y., Rodner, E., Flach, M., Sippel, S., Mahecha, M. D., & Denzler, J. (2016). Detecting multivariate biosphere extremes. In A. Banerjee, W. Ding, & V. Dy (Eds.), Proceedings of the 6th International Workshop on Climate Informatics: CI2016: NCAR Technical Note NCAR/TN-529+PROC (pp. 9-12). Boulder: National Center for Atmospheric Research.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002B-A1D9-5
Abstract
The detection of anomalies in multivariate time series is crucial to identify changes in the ecosystems. We propose an intuitive methodology to assess the occurrence of tail events of multiple biosphere variables.