2023
Smith, T., Boers, N.: Global vegetation resilience linked to water availability and variability. Nat Commun 14, 498 (2023). DOI: 10.1038/s41467-023-36207-7.
2022
K.-H. Krämer, M. Gelbrecht, I. Pavithran, R.I. Sujith, N. Marwan : Optimal state space reconstruction via Monte Carlo decision tree search. - Nonlinear Dynamics, 108, 2, 1525-1545 (2022), DOI 10.1007/s11071-022-07280-2.
P. C. Tzedakis, D. A. Hodell, C. Nehrbass-Ahles, T. Mitsui, E. W. Wolff: Marine Isotope Stage 11c: An unusual interglacial, Quarternary Science Review 284, 107493 (2022).
Ph. Hess, M. Drüke, S. Petri F. M. Strnad and Niklas Boers: Physically constrained generative adversarial networks for improving precipitation fields from Earth system models, Nat Mach Intell (2022). https://doi.org/10.1038/s42256-022-00540-1.
, , , , , : Interconnection between the Indian and the East Asian Summer Monsoon: spatial synchronization patterns of extreme rainfall events, International Journal of Climatology, DOI: https://doi.org/10.1002/joc.7861.
N. Boers, M. Ghiland T. F. Stocker: Theoretical and paleoclimatic evidence for abrupt transitions in the Earth system, Environ. Res. Lett. 17 093006 (2022).
E. Myrvoll-Nilsen, K. Riechers, M. Rypdal, N. Boers: Quantifying dating uncertainties in layer-counted paleoclimate proxy archives, Climate of the Past (2022).
T. Smith, D. Traxl, N. Boers: Empirical evidence for recent global shifts in vegetation resilience, Nature Climate Change 12, 477-484 (2022).
C. Boettner, N. Boers: Critical Slowing Down In Dynamical Systems Driven By Non-Stationary Correlated Noise, Physical Review Research 4, 013230 (2022).
P. Hess, N.Boers: Deep Learning for Improving Numerical Weather Prediction of Rainfall Extremes, in revision at Journal of Advances in Modelling Earth Systems 14 (2022).
K. Riechers, T. Mitsui, N. Boers, M. Ghil: Orbital Insolation Variations, Intrinsic Climate Variability, and Quaternary Glaciations, Climate of the Past 18, 863-893 (2022).
C. Boulton, T. Lenton, N. Boers: Pronounced loss of Amazon rainforest resilience since the early 2000s, Nature Climate Change 12, 271-278 (2022).
T. Mitsui, N. Boers: Machine learning approach reveals strong link between obliquity amplitude increase and the Mid-Brunhes transition, Quaternary Science Reviews 277, 1 (2022).
2021
P. Good, N.Boers, C. Boulton, Jason A. Lowe, I. Richter: How might a collapse in the Atlantic Meridional Overturning Circulation aect rainfall over tropical South America?, Climate Resilience and Sustainability (2021).
D. Traxl, N. Boers, A. Rheinwalt, B. Bookhagen: The role of cyclonic activity in tropical temperature-rainfall scaling. - Nature Communications, 12, 6732 (2021).
T. Mitsui, N. Boers: Machine learning approach reveals strong link between obliquity amplitude increase and the Mid-Brunhes transition, Quaternary Science Reviews, Volume 277, 1 February 2022, 107344 (2021).
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: Network-based Forecasting of Climate Phenomena. - Proceedings of the National Academy of Sciences of the United States of America (PNAS), 118, 47, e1922872118 (2021).
C. Boettner, G. Klinghammer, N. Boers, T. Westerhold, N. Marwan: Early-Warning Signals For Cenozoic Climate Transitions, Quaternary Science Reviews, 270, 107177 (2021).
K. Riechers, N. Boers: Significance of uncertain phasing between the onsets of stadial–interstadial transitions in different Greenland ice core proxies, Climate of the Past, 17, 4, 1751-1775 (2021).
M. Gelbrecht, N. Boers, J. Kurths: Variability of the Low-Level Circulation of the South American Monsoon Analysed with Complex Networks, European Physical Journal - Special Topics, 230, 14-15, 3101-3120 (2021).
M. Rypdal, N. Boers, H. Fredriksen, K. Eiselt, A. Johansen, A. Martinsen, E. Mentzoni, R. Graversen, K. Rypdal: Estimating remaining carbon budgets using temperature responses informed by CMIP6, Frontiers in Climate, 75 (2021).
S. Gupta, N. Boers, F. Pappenberger, J. Kurths: Complex Network approach for detecting Tropical Cyclones, Climate Dynamics, 57, 11-12, 3355-3364 (2021).
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).
N. Boers: Observation-based early-warning signals for a collapse of the Atlantic Meridional Overturning Circulation, Nature Climate Change, 11, 8, 680-688 (2021).
N. Boers, M. Rypdal: Critical Slowing Down suggests that the western Greenland ice sheet is close to a tipping point, Proceedings of the National Academy of Sciences of the United States of America (PNAS), 118, 21, e2024192118 (2021).
T. Mitsui, N. Boers: Seasonal Prediction of Indian Summer Monsoon Onset with Echo-State Networks, Environmental Research Letters, 16, 7, 074024 (2021).
C. Ciemer, R. Winkelmann, J. Kurths, N. Boers: Impact of an AMOC weakening on the stability of the southern Amazon rainforest, European Physical Journal - Special Topics, 230, 14-15, 3065-3073 (2021).
M. Gelbrecht, V. Lucarini, N. Boers, J. Kurths: Analysis of a bistable climate toy model with physics-based machine learning methods, European Physical Journal - Special Topics, 230, 13-15, 3121-3131 (2021).
N. Boers, J. Kurths, N. Marwan: Complex Systems Approaches to Earth system data analysis, Journal of Physics: Complexity, 2, 1, 011001 (2021).
2020
F. Hassanibesheli, N. Boers, J. Kurths: Reconstructing Complex System Dynamics from Time Series: A Method Comparison, New Journal of Physics, 22, 073053 (2020).
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, 15, 9, 094087 (2020).
D.-D. Rousseau, P. Antoine, N. Boers, F. Lagroix, M. Ghil, J. Lomax, M. Fuchs, M. Debret, C. Hatté, O. Moine, C. Gauthier, D. Jordanova, N. Jordanova: Dansgaard–Oeschger-like events of the penultimate climate cycle: the loess point of view, Climate of the Past, 16, 2, 713-727 (2020).
F. Wolf, J. Bauer, N. Boers, R.V. Donner: Event synchrony measures for functional climate network analysis: A case study on South American rainfall dynamics, Chaos, 30, 3, 033102 (2020).
2019
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).
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).
2018
M. Gelbrecht, N. Boers, J. Kurths: Phase Coherence between Precipitation in South America and Rossby Waves, Science Advances (2018).
N. Boers, M. Ghil, D. Rousseau: Interactions between ocean circulation and sea ice explain Dansgaard-Oeschger events, Proceedings of the National Academy of Sciences (2018).
N. Boers: Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record, Nature Communications (2018).
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 (2018).
C. Ciemer, N. Boers, H.M.J. Barbosa, J. Kurths, A. Rammig: Temporal Evolution of the spatial covariability of rainfall in South America, Climate Dynamics (2018).
2017
N. Boers, M. Chekroun, H. Liu, D. Kondrashov, D.-D. Rousseau, A. Svensson, M. Bigler, M. Ghil: Inverse stochastic-dynamic models for high-resolution Greenland ice-core records, Earth System Dynamics (2017).
N. Boers, B. Goswami, M. Ghil: A complete representation of uncertainties in layer-counted paleoclimatic archives, Climate of the Past 13, 1169–1180 (2017).
D.-D. Rousseau, A. Svensson, M. Bigler, A. Sima, J.P. Steffensen, N. Boers: Eurasian contribution to the last glacial dust cycle: how are loess sequences built?, Climate of the Past (2017).
D.-D. Rousseau, N. Boers, A. Sima, A. Svensson, M. Bigler, F. Lagroix, S. Taylor, S. Antoine: (MIS3 & 2) millennial oscillations in Greenland dust and Eurasian aeolian records–A paleosol perspective, Quaternary Science Reviews (2017).
M. Gelbrecht, N. Boers, J. Kurths: A complex network representation of wind flows, Chaos (2017).
N. Boers, N. Marwan, H.M.J. Barbosa, J. Kurths: A deforestation-induced tipping point for the South American monsoon system, Scientific Reports (2017).
2016
D.Traxl*, N. Boers*, A. Rheinwalt, B. Goswami, J. Kurths: The size distribution of spatiotemporal extreme rainfall clusters around the globe, Geophysical Research Letters (2016).
D.Traxl, N. Boers, J. Kurths: Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales, Chaos 26, 06530 (2016).
N. Boers, B. Bookhagen, N. Marwan, J. Kurths: Spatiotemporal Characteristics and Synchronization of Extreme Rainfall in South America with Focus on the Andes Mountain Range, Climate Dynamics (2016).
A. Rheinwalt, N. Boers, N. Marwan, J. Kurths, P. Hoffmann, F. Gerstengarbe, P. Werner: Non-Linear Time Series Analysis of Precipitation Events Using Regional Climate Networks for the Region of Germany, Climate Dynamics 46, 1065–1074 (2016).
N. Boers, P. Pickl: On Mean Field Limits for Dynamical Systems, Journal of Statistical Physics (2016).
2015
N. Boers, H. Barbosa, B. Bookhagen, J. Marengo, N. Marwan, and J. Kurths: Propagation of Strong Rainfall Events from Southeastern South America to the Central Andes, Journal of Climate (2015).
N. Boers, B. Bookhagen, J. Marengo, N. Marwan, J. v. Storch, J. Kurths: Extreme rainfall of the South American monsoon system: A dataset comparison using complex networks, Journal of Climate (2015).
N. Boers, R. Donner, B. Bookhagen, J. Kurths: Complex network analysis helps to identify impacts of the El Niño Southern Oscillation on moisture divergence in South America, Climate Dynamics (2015).
N. Boers, A. Rheinwalt, B. Bookhagen, N. Marwan, J. Kurths: A complex network approach to investigate the spatiotemporal co-variability of extreme rainfall, in: Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the Fourth International Workshop on Climate Informatics, Springer (2015).
A. Rheinwalt, N. Boers, B. Goswami, J. Heitzig, N. Marwan, R. Krishnan, J. Kurths: Teleconnections in Climate Networks: A Network-of-Networks Approach to Investigate the Influence of Sea Surface Temperature Variability on Monsoon Systems, in: Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the Fourth International Workshop on Climate Informatics, Springer (2015).
2014
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 (2014).
D. Traxl, N. Boers, J. Kurths: General scaling of maximum degree of synchronization in noisy complex networks, New Journal of Physics (2014).
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 (2014).
2013
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 (2013).
*Equal author contribution.
