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The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests
Wendt, Amanda, Sparling, Thalia M., Waid, Jillian L., Müller, Anna A., Gabrysch, Sabine (2019):
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
Willeit, Matteo, Ganopolski, Andrey, Calov, Reinhard, Brovkin, V. (2019):
Mid-Pleistocene transition in glacial cycles explained by declining CO2 and regolith removal
- Science Advances
Pham, L. T., Otto, I. M., Zikos, D. (2019):
Self-governance and the effects of rules in irrigation systems: Evidence from laboratory and framed field experiments in China, India and Vietnam
- Water Economics and Policy
Ellenbeck, S., Lilliestam, J. (2019):
How modelers construct energy costs: Discursive elements in Energy System and Integrated Assessment Models
- Energy Research & Social Science
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
Donner, Reik V., Balasis, G., Stolbova, V., Georgiou, M., Wiedermann, Marc, Kurths, Jürgen (2019):
Recurrence-based quantification of dynamical complexity in the Earth's magnetosphere at geospace storm timescales
- Journal of Geophysical Research - Space Physics
Lange, Stefan (2019):
EartH2Observe, WFDEI and ERA-Interim data Merged and Bias-corrected for ISIMIP (EWEMBI). V. 1.1
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
Gütschow, Johannes (2019):
The PRIMAP-hist Socio-Eco national historical GDP and population time series v2.1, (1850 - 2017). V. 2.1
Li, X., Li, L., Yue, Z., Tang, X., Voss, H. U., Kurths, Jürgen, Yuan, Y. (2019):
Sparse learning of partial differential equations with structured dictionary matrix
- Chaos
Reußwig, Fritz (2019):
Heimat und politische Parteien
- Heimat. Ein vielfältiges Konstrukt, RaumFragen: Stadt - Region - Landschaft
Tokarska, K. B., Schleussner, C.-F., Rogelj, J., Stolpe, M. B., Matthews, H. D., Pfleiderer, P., Gillett, N. P. (2019):
Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy
- Nature Geoscience
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
Folberth, C., Elliott, J., Müller, C., Balkovič, J., Chryssanthacopoulos, J., Izaurralde, R. C., Jones, C. D., Khabarov, N., Liu, W., Reddy, A., Schmid, E., Skalský, R., Yang, H., Arneth, A., Ciais, P., Deryng, D., Lawrence, P. J., Olin, S., Pugh, T. A. M., Ruane, A. C., Wang, X. (2019):
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