Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
CL1.2.14 | Data-model comparisons: Alignment and discrepancies in paleoclimate reconstructions
EDI
Data-model comparisons: Alignment and discrepancies in paleoclimate reconstructions
Convener: Josefine AxelssonECSECS | Co-conveners: Raphael HébertECSECS, Kira Rehfeld
Accurate comparisons between climate models and proxy data are critical for refining our understanding of past climate variability and mechanisms. High-resolution proxy records such as δ18O in terrestrial and marine records, offer a detailed glimpse into past climates, providing essential benchmarks for model evaluation. However, discrepancies often arise between modeled and proxy data due to differences in spatial and temporal resolution, variability, and the complex interplay of climate forcings.

This session aims to explore recent advancements in data-model comparisons, focusing on the alignment and discrepancies between climate simulations and proxy records. By integrating multi-proxy data, isotope-enabled models, and novel modeling approaches, we seek to enhance the precision of climate reconstructions and improve the understanding of the underlying mechanisms driving observed differences.

We invite contributions from a broad range of studies that address:
(1) High-resolution reconstructions of past climatic variables such as temperature, precipitation, and isotopic compositions, and their implications for data-model comparisons across various timescales and regions.
(2) Methodological advancements in proxy development and modeling, including innovations in isotope-enabled climate models, proxy system models, and data assimilation techniques that aim to reconcile differences in temporal variability and spatial representation between models and proxies.
(3) Studies focused on the impact of external forcings, such as orbital parameters, sea-level changes, and remote climate phenomena on paleoclimate variability, highlighting the role of these factors in modulating discrepancies between proxy data and model simulations.

We further welcome interdisciplinary research that contributes to robust (quantitative) interpretations of proxy records, enhances the accuracy of model-proxy comparisons, or enables comprehensive analyses of climate dynamics at regional to global scales.