
Many phenomena in Earth system dynamics are complex in the sense that they emerge from nonlinear interactions of large numbers of processes across wide ranges of temporal and spatial scales. Modelling such phenomena on the basis of the underlying fundamental physical laws poses serious challenges, in particular in situations of strongly nonlinear behavior that may lead to abrupt state transitions, or if one is interested in the characteristics of extreme events.
In this Future Lab, hosted by PIK’s Research Department 4, we explore mathematical techniques to investigate and model complex Earth system processes with a strong focus on combining process-based with Machine Learning approaches.
News
Regierungswechsel in Brasilien: Was das für den Amazonas bedeutet
Policy Brief: Key findings and recommendations from three H2020 Projects on Tipping Points
Climate simulation more realistic with Artificial Intelligence
Seasonal prediction of Indian Summer Monsoon onset with Neural Networks
Bericht indigener Völker: Amazonas-Regenwald am Kipppunkt
PIK Press release: Amazon rainforest is losing resiliance: new evidence from satellite data analysis
Guardian Article to: Climate crisis: Amazon rainforest tipping point is looming, data shows
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If you are interested in carrying out a BSc, MSc, or PhD project with us, please contact us to discuss possible topics.