Optimal sampling of spatial patterns improves deep learning-based early warning signals of critical transitions

Complex spatio-temporal systems like lakes, forests and climate systems exhibit alternative stable states. In such systems, as the threshold value of the driver is crossed, the system may experience a sudden (discontinuous) transition or smooth (continuous) transition to an undesired steady state. T...

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Detalhes bibliográficos

Principais autores:	Smita Deb, Ekansh Mahendru, Paras Goyal, Vishwesha Guttal, Partha Sharathi Dutta, Narayanan C. Krishnan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	The Royal Society 2024-06-01
coleção:	Royal Society Open Science
Assuntos:	spatial patterns catastrophic and non-catastrophic transitions tipping points deep learning early warning indicators classification
Acesso em linha:	https://royalsocietypublishing.org/doi/10.1098/rsos.231767
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