Milan FlachPhD student, Member of the research group: Empirical Inference of the Earth System | ![]() |
Space-born earth observations offer unprecedented opportunities for detecting changes in land ecosystems. The spatial and temporal resolution is increasing rapidly. Novel algorithms often developed in computer science are awaiting to be transferred to other disciplines and have the potential to reveal novel insights. In particular, extremes are expected to play an increasing role with respect to climate change. My aim is to detect anomalies and extreme events with a recently developed multivariate approach out of a multivariate earth observation data stream and to attribute them to societal or environmental transformations.
PhD project: 'Detecting Extreme Anomalies in Ecosystem Functioning' in cooperation with the Computer Vision Group and Geographic Information Science, FSU Jena. The PhD project is affiliated with the projects BACI - Towards a Biosphere Atmosphere Change Index and the Earth System Data Lab.
· Julia Package for Multivariate Anomaly Detection: MultivariateAnomalies.jl
· Flach, M., Sippel, S., Gans, F., Bastos, A., Brenning, A., Reichstein, M., and Mahecha, M. D. (2018): Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian Heatwave, Biogeosciences, 15, 6067-6085, doi: 10.5194/bg-15-6067-2018.
· Sippel, S., Reichstein, M., Ma, X., Mahecha, M. D., Lange, H., Flach, M., & Frank, D. (2018). Drought, Heat, and the Carbon Cycle: a Review. Current Climate Change Reports, 4(3), 266–286, doi: 10.1007/s40641-018-0103-4.
· Flach, M., Gans, F., Brenning, A., Denzler, J., Reichstein, M., Rodner, E., Bathiany, S., Bodesheim, P., Guanche, Y., Sippel, S., and Mahecha, M. D. (2017): Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques, Earth Syst. Dynam., 8, 677-696, doi: 10.5194/esd-8-677-2017.
· Sippel, S., El-Madany, T. S., Mahecha, M. D., Migliavacca, M., Carrara, A., Flach, M., Kaminski, T., Otto, F. E. L., Thonicke, K., Vossbeck, M., Reichstein, M. (2017). Warm Winter, Wet Spring and an Extreme Response in Ecosystem Functioning on the Iberian Peninsula. In Herring, S. C., Christidis, N., Hoell, A., Kossin, J. P., Schreck III, C. J., and Stott, P. A. (Eds.), Explaining Extreme Events of 2016 from a Climate Perspective. Bull. Amer. Meteor. Soc., 98 (12), S80–S85, doi:10.1175/BAMS-D-17-0135.1.
· Sippel, S., Forkel, M., Rammig, A., Thonicke, K., Flach, M., Heimann, M., Otto, F. E. L., Reichstein, M., and Mahecha, M. D. (2017). Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems. Environmental Research Letters. 12 (7), p. 075006. doi: 10.1088/1748-9326/aa7398.
· Sippel, S., Otto, F. E. L., Flach, M., and van Oldenborgh, G. J. (2016). The Role of Anthropogenic Warming in 2015 Centra European Heat Waves. In Herring, S. C., Hoell, A., Hoerling, M. P., Kossin, J. P., Schreck III, C. J., and Stott, P. A. (Eds.), Explaining Extremes of 2015 from a Climate Perspective. Bull. Amer. Meteor. Soc., 97 (12), S51–S56, doi:10.1175/BAMS-D-16-0150.1.
· Rodner, E., Barz, B., Guanche, Y., Flach, M., Mahecha, M. D., Bodesheim, P., Reichstein, M., and Denzler, J. (2016): 'Maximally Divergent Intervals for Anomaly Detection'. ICML Workshop on Anomaly Detection (ICML-WS), New York, USA. June 2016. doi:10.17871/BACI_ICML2016_Rodner.
· Flach, M., Lange, H., Foken, T., and Hauhs, M. (2016): 'Recurrence Analysis of Eddy Covariance Fluxes'. In C. L. Webber Jr., C. Ioana, N. Marwan (Eds.), Recurrence Plots and Their Quantifications: Expanding Horizons. 180, 301-319. doi:10.1007/978-3-319-29922-8_16.
· Flach, M., Sippel, S., Gans, F., Bastos, A., Brenning, A., Reichstein, M., and Mahecha, M. (2018): 'Contrasting biosphere response to climate extremes: revisiting the western Russian Heatwave 2010 and other events.' European Geosciences Union General Assembly, Vienna, Austria. Oral presentation. Vol. 20, EGU2018-17582. April 2018.
· Guanche Garcia, Y., Rodner, E., Flach, M., Sippel, S., Mahecha, M. D., and 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. doi:0.5065/D6K072N6.
· Flach, M., Sippel, S., Bodesheim, P., Brenning, A., Denzler, J., Gans, F., Guanche, Y., Reichstein, M., Rodner, E., and Mahecha, M. (2016): 'Hot Spots of Multivariate Extreme Anomalies in Earth Observations'. American Geosciences Union Fall Meeting, San Francisco, USA. Oral presentation. December 2016. Link.
· Flach, M., Mahecha, M., Gans, F., Rodner, E., Bodesheim, P., Guanche, Y., Brenning, A., Denzler, J., and Reichstein, M. (2016): 'Using Statistical Process Control for Detecting Anomalies in Multivariate Spatiotemporal Earth Observations'. European Geosciences Union General Assembly, Vienna, Austria. Oral presentation. Vol. 18, EGU2016-7948-2. April 2016.
· Lange, H., Flach, M., Foken, T., and Hauhs, M. (2015): 'Recurrence Analysis of Eddy Covariance Fluxes'. European Geosciences Union General Assembly, Vienna, Austria. Oral presentation. Vol. 17, EGU2015-5798-1. April 2015.