https://doi.org/10.5194/cp-2020-154 Preprint. Discussion started: 29 December 2020 c Author(s) 2020. CC BY 4.0 License. Climate reconstructions based on GDGT and pollen surface datasets from Mongolia and Siberia: calibrations and applicability to extremely cold-dry environments over the Late Holocene. Lucas Dugerdil1,2, Sébastien Joannin2, Odile Peyron2, Isabelle Jouffroy-Bapicot3, Boris Vannière3, Boldgiv Bazartseren4, Julia Unkelbach5, Hermann Behling5, and Guillemette Ménot1 1Univ. Lyon, ENS de Lyon, Université Lyon 1, CNRS, UMR 5276 LGL-TPE, F-69364, Lyon, France 2Université de Montpellier, CNRS, IRD, EPHE, UMR 5554 ISEM, Montpellier, France 3Université Bourgogne Franche Comté, CNRS UMR 6249 Laboratoire Chrono-environnement, F-25030, Besançon, France 4Ecology Group, Department of Biology, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14201, Mongolia 5Department of Palynology and Climate Dynamics, Albrecht-von-Haller-Institute for Plant Sciences, University of Goettingen, Germany Correspondence: Lucas Dugerdil,
[email protected] Abstract. Our understanding of climate and vegetation changes throughout the Holocene is hampered by representativeness in sedimentary archives. Potential biases such as production and preservation of the markers are identified by comparing these proxies with modern environments. It is important to conduct multi-proxy studies and robust calibrations on each terrestrial biome. These calibrations use large data base dominated by forest samples. Therefore, including data from taiga and steppe 5 sites becomes mandatory to better calibrate arid environments. The Mongolian plateau, ranging from the Baikal basin to the Gobi desert, is especially characterized by low annual precipitation and continental annual air temperature. The characterization of the climate system of this area is crucial for the understanding of Holocene Monsoon Oscillations.