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CL1.11

Novel and quantitative methods for continental palaeoenvironmental reconstruction.
Convener: Jessica Oster  | Co-Conveners: Sebastian F.M. Breitenbach , Bethany Fox , Adam Hartland 
Orals
 / Thu, 12 Apr, 10:30–12:00  / Room 0.14
Posters
 / Attendance Thu, 12 Apr, 17:30–19:00  / Hall X5
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In recent decades, quantitative methods have become increasingly important in the field of palaeoenvironmental and palaeoclimatic reconstruction, due to the need for comparison between different records and to provide boundary conditions for computational modelling. Continental environmental archives (e.g. speleothems, lake sediments, ice, or land snails) are often highly temporally resolved (subdecadal to seasonal) and may provide more direct information about atmospheric processes than marine archives. The wide variety of archive types available on land also allows for intercomparison and ground-truthing of results from different techniques and different proxies, and multi-proxy reconstructions from the same archive can disentangle local and supra-regional environmental conditions.

This session aims to highlight recent advances in the use of innovative and quantitative proxies to reconstruct past environmental change on land. We welcome studies of any continental archive, including but not limited to carbonates (caves, paleosols, snails), sediments (lakes, rivers, alluvial fans), ice, and biological proxies (tree rings, fossil assemblages, plant biomarkers). We particularly encourage studies involving the calibration of physical and chemical proxies that incorporate modern transfer functions, forward modeling and/or geochemical modeling to predict proxy signals, and quantitative estimates of past temperature and precipitation amounts. We also welcome reconstructions of temperature and hydrologic variability over large spatial scales, including paleoclimate data assimilation studies. This session will provide a forum for discussing recent innovations and future directions in the development of terrestrial palaeoenvironmental proxies on seasonal to multi-millennial timescales.