Dear Colleagues,

As confidence is growing in our physical understanding of cause–effect relations within the Earth system, there remains a pressing need to expand our view of past climatic changes in order to increase confidence in the projected climate change scenarios. The rate at which our current climate system is moving further out of the observed range of variability is without precedence in the instrumental period. Facing uncharted future territory, scientists have long explored information from past climates to study a wider dynamic range of climate variability. In this Special Issue, we invite the scientific community to highlight their progress and advances made in connecting paleoclimate research with the fundamental scientific questions concerning future climate change, such as: How can paleoclimate help to reduce uncertainty in climate sensitivity estimates? What scaling laws are govern natural climate variability on interannual to millennial timescales? What can we learn from past climate reconstructions about changes in the natural modes of variability in response to external forcing?  Can we predict future abrupt climate change based on paleoclimatic event histories? We call for contributions to this Special Issue that highlight advances in proxy system modeling, reconstructions of past climates, data assimilation of proxy records, or machine-learning-based paleoclimate analysis methods, as well as detection and attribution methods or dynamical system analyses in the context of paleoclimate applications.

Dr. Oliver Elison Timm
Prof. Chuixiang Yi
Prof. Daoyi Gong
Dr. Sri Yudawati Cahyarini
Guest Editors

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• climate sensitivity;
• natural variability;
• climate models;
• nonlinear dynamics;
• feedback analysis;
• glacial–interglacial cycles;
• proxy archives;
• proxy system modeling;
• external forcing;
• detection and attribution;
• statistics;
• machine learning;
• data assimilation.