Charting pathways to climate change mitigation in a coupled socio-climate model.

Autor: Thomas M Bury, Chris T Bauch, Madhur Anand

Publikováno v: PLoS Computational Biology, Vol 15, Iss 6, p e1007000 (2019)

Geophysical models of climate change are becoming increasingly sophisticated, yet less effort is devoted to modelling the human systems causing climate change and how the two systems are coupled. Here, we develop a simple socio-climate model by coupl

Externí odkaz: https://doaj.org/article/0a4caa12f0c1475faa8be56009ecb049

Deep learning for tipping points: Preprocessing matters

Autor: Fabian Dablander, Thomas M. Bury

Publikováno v: Proceedings of the National Academy of Sciences. 119

Bury et al. (2021) present a powerful approach to anticipating tipping points based on deep learning that not only substantially outperforms traditional early warning indicators, but also classifies the type of bifurcation that may lie ahead. However

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::155301daf2f4b21fdadf6c37e8f856a9
https://doi.org/10.1073/pnas.2207720119

ewstools: A Python package for early warning signals of bifurcations in time series data

Autor: Thomas M Bury

Publikováno v: Journal of Open Source Software. 8:5038

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::173ac6168a89fdcc75bdcb9c718d50ec
https://doi.org/10.21105/joss.05038

Deep learning for early warning signals of tipping points

Autor: Induja Pavithran, R. I. Sujith, Thomas M. Bury, Marten Scheffer, Timothy M. Lenton, Madhur Anand, Chris T. Bauch

Publikováno v: Proc Natl Acad Sci U S A
Proceedings of the National Academy of Sciences of the United States of America 118 (2021) 39
Proceedings of the National Academy of Sciences of the United States of America, 118(39)

Many natural systems exhibit tipping points where slowly changing environmental conditions spark a sudden shift to a new and sometimes very different state. As the tipping point is approached, the dynamics of complex and varied systems simplify down

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6cdf9e6d6633f1fdf0632c58aeb9aa
https://pubmed.ncbi.nlm.nih.gov/34583999

Deep learning for early warning signals of regime shifts

Autor: R. I. Sujith, Thomas M. Bury, Induja Pavithran, Madhur Anand, Marten Scheffer, Timothy M. Lenton, Chris T. Bauch

Many natural systems exhibit regime shifts where slowly changing environmental conditions suddenly shift the system to a new and sometimes very different state. As the tipping point is approached, the dynamics of complex and varied systems all simpli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77dd073af806ac2bef5432bdc34448a7
https://doi.org/10.1101/2021.03.28.437429