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The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests
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Food and Agricultural Approaches to Reducing Malnutrition (FAARM): protocol for a cluster-randomised controlled trial to evaluate the impact of a Homestead Food Production programme on undernutrition in rural Bangladesh
- BMJ Open
Beckmann, Johanna, Perrette, Mahé, Beyer, Sebastian, Calov, Reinhard, Willeit, Matteo, Ganopolski, Andrey (2019):
Modeling the response of Greenland outlet glaciers to global warming using a coupled flow line-plume model
- The Cryosphere
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Mid-Pleistocene transition in glacial cycles explained by declining CO2 and regolith removal
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Kelman, I., Orlowska, J., Upadhyay, Himani, Stojanov, R., Webersik, C., Simonelli, A. C., Procházka, D., Němec, D. (2019):
Does climate change influence people’s migration decisions in Maldives?
- Climatic Change
Guo, S., Zhou, D., Fan, Jingfang, Tong, Q., Zhu, T., Lv, W., Li, D., Havlin, S. (2019):
Identifying the most influential roads basedon traffic correlation networks
- European Physical Journal - Data Science
Shukla, Roopam, Agarwal, Ankit, Sachdeva, K., Kurths, Jürgen, Joshi, P. K. (2019):
Climate change perception: an analysis of climate change and risk perceptions among farmer types of Indian Western Himalayas
- Climatic Change
Wolf, Frederik, Kirsch, Catrin, Donner, Reik V. (2019):
Edge directionality properties in complex spherical networks
- Physical Review E
Chen, X., Wu, F., Duan, J., Kurths, Jürgen, Li, X. (2019):
Most probable dynamics of a genetic regulatory network under stable Lévy noise
- Applied Mathematics and Computation
Runge, J., Nowack, P., Kretschmer, Marlene, Flaxman, S., Sejdinovic, D. (2019):
Detecting and quantifying causal associations in large nonlinear time series datasets
- Science Advances
Rakshit, S., Bera, B. K., Kurths, Jürgen, Ghosh, D. (2019):
Enhancing synchrony in multiplex network due to rewiring frequency
- Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences
Pińskwar, I., Chorynski, A., Graczyk, D., Kundzewicz, Zbigniew W. (2019):
Observed changes in extreme precipitation in Poland: 1991-2015 versus 1961-1990
- Theoretical and Applied Climatology
Weith, T., Rogga, S., Zscheischler, J., Gaasch, Nadin (2019):
Beyond projects: benefits of research accompanying research: Reflections from the research programme Sustainable Land Management
- GAIA – Ecological Perspectives for Science and Society
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Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble
- PLoS ONE
Zhao, Y., Kurths, Jürgen, Duan, L. (2019):
Input-to-state stability analysis for memristive BAM neural networks with variable time delays
- Physics Letters A
Pfleiderer, Peter, Schleussner, Carl-Friedrich, Kornhuber, Kai, Coumou, Dim (2019):
Summer weather becomes more persistent in a 2°C world
- Nature Climate Change
Pan, Z., Jiao, X., Conradt, Tobias, Ding, X., Wang, H. (2019):
Performance evaluation of groundwater overdraft recovery units in North and Coastal China based on DEA models
- Journal of Coastal Research
Yamapi, R., Yonkeu, R. M., Filatrella, G., Kurths, Jürgen (2019):
Lévy noise induced transitions and enhanced stability in a birhythmic van der Pol system
- The European Physical Journal B
Sietz, Diana, Frey, U., Roggero, M., Gong, Y., Magliocca, N., Tan, R., Janssen, P., Vaclavik, T. (2019):
Archetype analysis in sustainability research: methodological portfolio and analytical frontiers
- Ecology and Society
Lekscha, J., Donner, Reik V. (2019):
Areawise significance tests for windowed recurrence network analysis
- Proceedings of the Royal Society A
Hendriks, C. M. J., Stoorvogel, J. J., Lutz, Femke, Claessens, L. (2019):
When can legacy soil data be used, and when should new data be collected instead?
- Geoderma
Galmarini, S., Cannon, A. J., Ceglar, A., Christensen, O. B., Noblet-Ducoudré, N. de, Dentener, F., Doblas-Reyes, F. J., Dosio, A., Gutierrez, J. M., Iturbide, M., Jury, M., Lange, S., Loukos, H., Maiorano, A., Maraun, D., McGinnis, S., Nikulin, G., Riccio, A., Sanchez, E., Solazzo, E., Toreti, A., Vrac, M., Zampieri, M. (2019):
Adjusting climate model bias for agricultural impact assessment: How to cut the mustard
- Climate Services
Sterzel, T., Lüdeke, Matthias K. B., Walther, Carsten, Kok, M., Sietz, Diana, Lucas, P. (2019):
Data sets for the identification of a global typology for coastal urban vulnerability under rapid urbanization
Fan, Jingfang, Meng, Jun, Saberi, A. A. (2019):
Percolation framework of the Earth's topography
- Physical Review E
Wainstein, M. E., Dangerman, J., Dangerman, S. (2019):
Energy business transformation & Earth system resilience: A metabolic approach
- Journal of Cleaner Production
Eisenack, K., Villamayor-Tomas, S., Epstein, G., Kimmich, C., Magliocca, N., Manuel-Navarrete, D., Oberlack, C., Roggero, M., Sietz, Diana (2019):
Design and quality criteria for archetype analysis
- Ecology and Society
Nangini, Cathy, Peregon, Anna, Ciais, Philippe, Weddige, Ulf, Vogel, Felix, Wang, Jun, Bréon, François-Marie, Bachra, Simeran, Wang, Yilong, Gurney, Kevin, Yamagata, Yoshiki, Appleby, Kyra, Telahoun, Sara, Canadell, Josep G., Grübler, Arnulf, Dhakal, Shobhakar, Creutzig, Felix (2019):
A global dataset of co2 emissions and ancillary data related to emissions for 343 cities
- Scientific Data
Ward, H., Steckel, Jan Christoph, Jakob, M. (2019):
How global climate policy could affect competitiveness
- Energy Economics
Levesque, Antoine, Pietzcker, Robert C., Luderer, Gunnar (2019):
Halving energy demand from buildings: The impact of low consumption practices
- Technological Forecasting and Social Change
Ledo, Alicia, Hillier, Jonathan, Smith, Pete, Aguilera, Eduardo, Blagodatskiy, Sergey, Brearley, Francis Q., Datta, Ashim, Diaz-Pines, Eugenio, Don, Axel, Dondini, Marta, Dunn, Jennifer, Feliciano, Diana Marisa, Liebig, Mark A., Lang, Rong, Llorente, Mireia, Zinn, Yuri Lopes, McNamara, Niall, Ogle, Stephen, Qin, Zhangcai, Rovira, Pere, Rowe, Rebecca, Vicente-Vicente, José Luis, Whitaker, Jeanette, Yue, Qian, Zerihun, Ayalsew (2019):
A global, empirical, harmonised dataset of soil organic carbon changes under perennial crops
- Scientific Data