CL1.1.2 | Past warm climate lessons to navigate into the future: Advances in proxy reconstructions and modelling
EDI
Past warm climate lessons to navigate into the future: Advances in proxy reconstructions and modelling
Co-organized by SSP2
Convener: Thomas Westerhold | Co-conveners: Tobias AgterhuisECSECS, Edoardo Dallanave, Suning HouECSECS, Alexa FischerECSECS, Minmin Fu, Alexandra VillaECSECS

Our planet is warming due to human emissions of greenhouse gases, which have increased drastically since the industrial revolution. To navigate potential pathways for future climate, we need to better understand the impacts of elevated greenhouse gas emissions on the global heat budget and how the climate system functioned in conditions warmer than today. Geological archives and model simulations of past climate states are the key to deciphering climate dynamics in warm and varied conditions.
In this session, we welcome contributions from these vast geological archives and model simulations aimed at reconstructing and understanding Earth’s climate system over the past 100 million years. These submissions may reflect long-term and/or short-term changes such as Milankovitch cyclicity to suborbital/millennial variability. Submissions working on chronological or stratigraphic fundamentals underpinning this interval are encouraged. We also welcome contributions from those seeking to better assess Earth’s climate system sensitivity through reconstructions of atmospheric CO2 concentrations and global or regional temperatures. This includes biodiversity dynamics and disruptions in warm marine and terrestrial states.
The goal of this session is to bridge the diverse community studying the nature of the warm climate states found in the Cretaceous and Cenozoic. We consciously welcome a broad range of approaches to facilitate synergies to learn from past warm climate conditions to navigate into the future warmer world. We especially welcome new approaches, including improved proxy calibrations, and more comprehensive inter-proxy and proxy-model comparisons, to obtain a better understanding of the uncertainties associated with paleotemperature reconstructions.

Solicited authors:
Jennifer Kasbohm
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