Prof. Dr. Niklas Boers

FutureLab Leader

Niklas Boers is Professor of Earth System Modelling, Technical University of Munich and Leader of the Future Lab 'Artificial Intelligence in the Anthropocene' at PIK.  He is also associate coordinator of the Horizon 2020 project 'Tipping Points in the Earth System' (TiPES).



Curriculum Vitae

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Potsdam Institute for Climate Impact Research (PIK)
T +49 (0)331 288 20768
P.O. Box 60 12 03
14412 Potsdam


Google Scholar

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Research Gate

research gate

  • extreme events
  • paleoclimate
  • complex system science
  • dynamical systems
  • machine learning
  • time series analysis,
  • semi-empirical modeling


Publications of the Future Lab Artificial Intelligence in the Anthropocene


Full list of publications in PIK's publication database

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research gate

Selected Publications:

T. Smith and N. Boers: Global vegetation resilience linked to water availability and variability - Nature Communications (2023). link

P. Hess, M. Drüke, S. Petri, F. Strnad, N. Boers: Physically constrained generative adversarial networks for improving precipitation fields from Earth system models, Nature Machine Intelligence (2022). link

N. Boers, M. Ghil, S. Stocker: T. Smith, D. Traxl, N. Boers: Theoretical and paleoclimatic evidence for abrupt transitions in the Earth system, Environmental Research Letters (2022). link

T. Smith, D. Traxl, N. Boers: Empirical evidence for recent global shifts in vegetation resilience, Nature Climate Change (2022). link

P. Hess and N. Boers: Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall - Journal of Advances in Modeling Earth Systems (2022). link

C. Boulton, T. Lenton, N. Boers: Pronounced loss of Amazon rainforest resilience since the early 2000s, Nature Climate Change (2022). link

D. Traxl, N. Boers, A. Rheinwalt, B. Bookhagen: The role of cyclonic activity in tropical temperature-rainfall scaling, Nature Communications (2021). link

J. Ludescher, M. Martin, N. Boers, A. Bunde, C. Ciemer, J. Fan, S. Havlin, M. Kretschmer, J. Kurths, J. Runge, V. Stolbova, E. Surovyatkina, H. Schellnhuber: Successful Climate-Phenomena Forecasting beyond Number Crunching, PNAS (2021).link

C. Irrgang, N. Boers, M. Sonnewald, E. Barnes, C. Kadow, J. Staneva, J. Saynisch-Wagner: Towards Neural Earth System Modelling by integrating Artificial Intelligence in Earth System Science, Nature Machine Intelligence (2021). link

N. Boers: Observation-based early-warning signals for a collapse of the Atlantic Meridional Overturning Circulation, Nature Climate Change (2021). link

N. Boers, M. Rypdal: Critical Slowing Down suggests that the western Greenland ice sheet is close to a tipping point, PNAS (2021). link

T. Mitsui, N. Boers: Seasonal Prediction of Indian Summer Monsoon Onset with Echo-State Networks, Environmental Research Letters (2021). link

C. Ciemer, L. Rehm, J. Kurths, R. V. Donner, R. Winkelmann, N. Boers: An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures, Environmental Research Letters (2020). link

C. Ciemer, N. Boers, M. Hirota, J. Kurths, F. Mueller-Hansen, R. Oliveira, R. Winkelmann: Tropical vegetation in regions with higher rainfall variability is more resilient to climate change, Nature Geoscience (2019). link

N. Boers, B. Goswami*, A. Rheinwalt*, B. Bookhagen, B. Hoskins, J. Kurths: The global pattern of extreme rainfall teleconnections revealed by complex networks, Nature (2019). link

M. Gelbrecht, N. Boers, J. Kurths: Phase Coherence between Precipitation in South America and Rossby Waves, Science Advances 4, eaau3191 (2018). link

N. Boers, M. Ghil, D. Rousseau: Interactions between ocean circulation and sea ice explain Dansgaard-Oeschger events, Proceedings of the National Academy of Sciences 9, E11005–E11014 (2018). link

N. Boers: Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record, Nature Communications 9, 2556 (2018). link

B. Goswami, N. Boers*, A. Rheinwalt*, N. Marwan, J. Heitzig, S.F.M. Breitenbach, J. Kurths: Abrupt transitions in time series with uncertainties, Nature Communications 9, 48 (2018) link

D.Traxl∗, N. Boers∗, A. Rheinwalt, B. Goswami, J. Kurths: The size distribution of spatiotemporal extreme rainfall clusters around the globe, Geophysical Research Letters 43, 9939–9947 (2016). link

D.Traxl, N. Boers, J. Kurths: Deep Graphs – a general framework to represent and analyze heterogeneous complex systems across scales, Chaos 26, 06530 (2016). link

N. Boers, P. Pickl: On Mean Field Limits for Dynamical Systems, Journal of Statistical Physics 164, 1–16 (2016). link

N. Boers, B. Bookhagen, H.M.J. Barbosa, N. Marwan, J. Kurths, J. Marengo: Prediction of Extreme Floods in the Eastern Central Andes based on a Complex Networks Approach, Nature Communications 5:5199 (2014). link

N. Boers, A. Rheinwalt, B. Bookhagen, H.M.J. Barbosa, N. Marwan, J. Marengo, J. Kurths: The South American Rainfall Dipole: A Complex Network Analysis of Extreme Events, Geophysical Research Letters 41, 73977405 (2014). link

N. Boers, B. Bookhagen, N. Marwan, J. Kurths, J. Marengo: Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System, Geophysical Research Letters 40, 4386–4392 (2013). link

*Equal author contribution.

Multiscales and Critical Transitions in the Earth System (CriticalEarth)

Tipping Points in the Earth System (TiPES)

Climate Change and Extreme Events (ClimXtreme)

Predicting Abrupt transitions and Extremes in the Earth System (Freigeist research group at FU Berlin, funded by Volkswagen foundation)

Brandenburg Postdoc Award 2019

Freigeist Fellowship by the Volkswagen Foundation

Feodory-Lynen Fellowship by the Alexander von Humboldt Foundation